⚠️ Educational only — not medical, legal, or financial advice. Always verify with a qualified professional.
Grand Investment Knowledge
Simple and effective methods for financial growth based on two legends.
Passive · Index · Simple
John C. Bogle
Buy everything. Pay almost nothing. Hold forever.
Founder of Vanguard · Creator of the index fund · Own the entire market in one fund — don't try to pick winners. Costs are the enemy.
Quality · Value · Factor
Joel Greenblatt
Buy the best businesses at the cheapest prices.
Gotham Capital · ~40% annualized 1985–1994 · Find companies with high returns on capital, then buy them when the stock is cheap. Own the best, pay the least.
⚠️
Educational purposes only — not financial advice.
This dashboard was built for personal learning and portfolio exploration. The author is not a licensed financial advisor, broker-dealer, registered investment advisor, or financial planner. Nothing here constitutes a recommendation to buy or sell any security. All content reflects one individual's research and opinions, which may be incomplete or incorrect. Past performance does not guarantee future results. Consult a qualified financial professional before making any investment decisions.
Start Here
Two men changed investing forever. One said costs and simplicity win. The other proved that buying great businesses cheap beats everything.
John Bogle invented the index fund and built Vanguard. Joel Greenblatt ran one of the best hedge funds in history, then published his entire method in a short book anyone can read. Understanding both is the foundation for every decision in this playbook. This page also explains what indexes and ETFs actually are — in plain English, no jargon.
First: What Is an Index? What Is an ETF?
📊 What Is an Index?
An index is simply a list of stocks with rules for which ones belong and how much weight each one gets. It's not something you can invest in directly — it's more like a scoreboard.
The S&P 500 is the most famous index. Its rule: the 500 largest US companies by market value. Apple is #1 because it's worth the most. A tiny company worth $10 billion barely registers.
Other index types:
✦ Total market — every publicly traded US company (~8,000 stocks)
✦ Small-cap value — smaller companies that look cheap on price
✦ International — companies based outside the US
✦ Bond index — tracks government or corporate debt instead of stocks
📦 What Is an ETF?
An ETF (Exchange-Traded Fund) is the vehicle that lets you actually invest in an index. Think of the index as the recipe and the ETF as the finished dish you can buy.
When you buy one share of Vanguard Total Stock Market Index Fund ETF (VTI), you instantly own a tiny slice of ~8,000 US companies — Apple, Google, a small Ohio manufacturer, and everything in between. One purchase, instant diversification.
ETFs vs Mutual Funds: ETFs trade on a stock exchange like a stock — you can buy at 10am or 2pm. Mutual funds price once per day at market close. Both can track the same index; ETFs are usually cheaper and more tax-efficient.
Expense Ratio (ER): The annual fee, expressed as a percentage. Vanguard Total Stock Market Index Fund ETF (VTI) charges 0.03% — on $10,000 that's $3/year.
🏋️ Cap-Weighted vs. Factor-Weighted
Cap-weighted (like S&P 500 / VTI): Companies are weighted by their total market value. Apple is ~7% of the S&P 500 because it's worth more than all 500 companies average. This means you automatically own more of whatever is already expensive and popular.
Factor-weighted (like FNDB / AVUV): Instead of weighting by price, these use rules like earnings, book value, or profitability. They systematically tilt toward cheaper or higher-quality companies. Higher complexity, historically higher returns — but with periods of underperformance vs. the S&P 500.
Bogle preferred cap-weighted. He argued the simplicity and cost advantages outweigh any benefit from tilting. Greenblatt preferred factor-weighted — specifically tilting toward high quality and low price.
🔒 What Are Bonds?
When you buy a bond, you are lending money — to a company or the US government — and they promise to pay you interest and return your principal later. Bonds are generally safer than stocks but grow more slowly.
Why hold bonds at all? They tend to fall less than stocks in crashes, and they rebalance well — when stocks crash, bond prices often rise, giving you something to sell to buy stocks cheaper.
BND (Vanguard Total Bond Market ETF) holds thousands of US government and corporate bonds at once — instant bond diversification for 0.03%/year.
SGOV is short-term only (0–3 month Treasury bills) — earns close to the Fed funds rate with almost no risk. This portfolio uses SGOV as "dry powder" rather than long-term bonds.
John C. Bogle — Founder of Index Investing
John C. Bogle
1929 – 2019 · "Jack"
Founder, The Vanguard Group (1974) Created first retail index fund (1976) Princeton economics graduate Named one of the four "Giants of the 20th Century" by Fortune Magazine
His Philosophy in Plain English
✦ Nobody consistently beats the market after fees
✦ Buy everything — don't try to pick winners
✦ Keep costs as close to zero as possible
✦ Reinvest dividends. Hold forever. Don't react.
✦ Boring is better. Simple is better.
"Don't look for the needle in the haystack. Just buy the haystack."
The Core Idea — Why Indexing Works
Bogle started with a simple question: if all investors combined own the entire market, then before any costs, the average investor must earn the market's return. After fees and trading costs, the average investor earns less than the market — by exactly the amount they paid. This is not a theory. It's math.
His solution: create a fund that simply owns everything, charges almost nothing, and never trades. In 1976 he launched the Vanguard 500 Index Fund — the first index mutual fund available to regular investors. Wall Street called it "Bogle's Folly." Forty-eight years later, over $10 trillion is invested in index funds worldwide, and the fund industry has been forced to cut fees dramatically just to compete.
Bogle's personal portfolio: two funds — stocks and bonds. He never owned individual stocks. He never tried to time the market. He said the most important quality in an investor is not intelligence but temperament — the ability to stay put when everything feels wrong.
⚠️
As of June 2026, the S&P 500 no longer requires profitability for mega-caps. Since the top 10 holdings make up ~35% of the S&P 500 Index, a single unprofitable IPO like SpaceX could instantly outweigh hundreds of profitable companies in your portfolio. Bogle's intent — that the index's largest holdings be its most proven businesses — is no longer guaranteed.
Active funds beaten by index
~85%
Over 20 years · SPIVA = S&P Index vs. Active report, published twice yearly by S&P Global — it tracks how many professional fund managers fail to beat a simple index fund
Avg active fund cost
~0.6%
vs 0.03% for VTI
Lost to 1% fee over 30yr
~25%
Of final wealth
S&P 500 annual avg return
~10%
Before inflation, 1926–present
Key Books
The Little Book of Common Sense Investing (2007) — The clearest single argument for index funds ever written. Start here.
Common Sense on Mutual Funds (1999) — The comprehensive version. Everything Bogle believed about funds, costs, and investor behavior.
Joel Greenblatt — Quality + Value Investor
Joel Greenblatt
1957 – present
Founder, Gotham Asset Management Author, The Little Book That Beats the Market Adjunct Professor, Columbia Business School Wharton School graduate
The Magic Formula — Plain English
✦ Find businesses that earn a lot (ROIC)
✦ Find businesses that are cheap (earnings yield)
✦ Rank all stocks on both screens combined
✦ Buy the top 20–30. Hold 1 year. Repeat.
✦ It works because it's uncomfortable to hold
"Figure out the value of something — and then pay a lot less."
The Magic Formula — How It Actually Works
Greenblatt's insight: most investors are bad at holding through short-term pain. A great company can have a terrible year — an acquisition goes wrong, a product launch delays, a macro downturn hits their sector. The stock gets cheap. Most investors sell. Greenblatt buys.
His two metrics: Return on Invested Capital (ROIC) — how much profit the business generates for every dollar invested in it. A company with 40% ROIC turns $1 of investment into $1.40 of operating profit. That's a great business. Earnings Yield (EBIT ÷ Enterprise Value) — how cheap the stock is relative to what it earns. High earnings yield = cheap stock.
Buy the stocks that rank highest on both screens simultaneously. Hold for at least a year (tax efficiency + time for the market to recognize the value). Sell, rescreen, repeat. No emotion. No news. Just the formula.
Gotham Capital 1985–1994
~40%
Annualized, net of fees
Magic Formula backtest
~30.8%
1988–2004 vs 12.4% S&P
S&P 500 same period
12.4%
Cap-weighted baseline
Minimum hold period
1 yr+
Shorter = noise not signal
Key Books
The Little Book That Beats the Market (2005) — The Magic Formula explained for anyone in under 200 pages. Start here if you want to understand this portfolio's stock picks.
The Big Secret for the Small Investor (2011) — How retail investors can use factor-weighted ETFs to capture what Greenblatt found, without picking individual stocks.
Bogle vs. Greenblatt — Where They Agree and Disagree
Dimension
Bogle — Buy Everything
Greenblatt — Buy the Best, Cheapest
Core belief
Markets are efficient enough — stop trying to pick winners
Markets misprice good businesses regularly — the disciplined can exploit it
What you own
Every US company proportionally — ~8,000 stocks
Only high-ROIC, low-priced businesses — 20–30 stocks in the pure form
Cost priority
Obsessed — 0.03% is achievable and should be the goal
Accepts slightly higher fees for factor exposure (0.25–0.36%)
Role of bonds
Essential — they reduce volatility and rebalance into stocks during crashes
Less central — quality businesses with pricing power are their own ballast
What to do in a crash
Hold. Rebalance from bonds into stocks. Do not panic sell.
The formula keeps buying cheap stocks automatically — the crash creates more opportunities
Best suited for
Anyone who wants to invest simply, cheaply, and permanently
Investors who understand business quality and can hold through factor underperformance
Where they agree completely
Long holding periods. Low turnover. Discipline over emotion. Costs matter. Time in market beats timing the market. Most investors should do less, not more.
Savings — Build the Foundation Before You Invest
Investing is what happens after savings is already working. The savings rate is the single biggest lever in your financial life — bigger than allocation, bigger than fund picks, bigger than market timing.
This page covers the foundation that sits underneath every portfolio in this app: how much to save, where to put it, the order to fund it, and why automation and compound interest do most of the heavy lifting. The Bogle and Greenblatt portfolios you'll see later assume this is already in place. A 25% saver in an S&P 500 index fund outperforms a 5% saver in any portfolio at any timing. Build the rate first. Optimize the portfolio second.
The 50/30/20 Rule — Elizabeth Warren's Budget Framework
From All Your Worth (2005)
Take your after-tax income. Split it three ways. 50% needs · 30% wants · 20% savings & debt payoff.
Elizabeth Warren and her daughter Amelia Warren Tyagi laid out this framework in All Your Worth: The Ultimate Lifetime Money Plan. The genius is its simplicity — three buckets, easy to track, applies at any income level. Warren's research at Harvard Law on family bankruptcy showed that families who kept fixed needs under 50% of take-home pay had vastly better outcomes when income shocks hit (job loss, medical bills, divorce). The 50% ceiling on needs is what creates the resilience — not the 20% savings target.
If needs exceed 50%, the math breaks. Either income is too low or fixed costs are too high. Warren's data: this is where most family financial fragility lives.
Warren's insight: wants are not the enemy. A budget with zero wants fails — it's unsustainable. 30% buys the joy that keeps the system running.
Bucket 3
20% — Savings & Debt
Future-you money
Emergency fund building · 401(k) and IRA contributions · paying down debt above the minimum · brokerage account contributions · house down payment savings.
20% is a floor, not a ceiling. If you can hit 25–30%, do it. Younger savers especially benefit from going above 20% because of the compounding window described below.
Automate It — Why Paycheck Deduction Is the Single Biggest Behavioral Hack
Pay Yourself First — Then Spend What's Left
Money you never see in your checking account is money you don't have to fight yourself to save. Direct deposit splits and 401(k) deductions exploit how the human brain actually works.
Behavioral economics has shown — across decades of research from Thaler, Benartzi, and the Save More Tomorrow program — that people save dramatically more when the decision is automated. The same person who can't seem to put away $200/month from their checking account will easily save $500/month if it comes out of their paycheck before the money lands. The brain treats the take-home number as "your money." Whatever's diverted before that just doesn't exist for spending purposes.
Why Paycheck Automation Works
The Mechanism
No willpower required
The decision is made once at HR enrollment, then never again. You don't have to choose to save 24 times a year — you chose once, and it just happens.
Pre-tax dollars (for 401(k) / Traditional)
A $500 paycheck deduction reduces take-home pay by only ~$370–$400 (depending on tax bracket). The IRS effectively pays for ~25% of your contribution. This is the single most powerful tax move available to W-2 earners.
Employer match capture
Most employers match 50–100% of contributions up to ~3–6% of salary. That's an instant 50–100% return. Not contributing enough to capture the full match is leaving free money on the table — typically $2,000–$5,000/year.
Dollar-cost averaging built in
Money goes in every paycheck — every two weeks for most people, monthly for some. This automatically buys more shares when prices are low and fewer when prices are high. No timing required.
Lifestyle inflation protection
When you get a raise, immediately raise your contribution % by half the raise. You still feel richer (you take home more) but your savings rate goes up automatically. The "Save More Tomorrow" program found this triples participation vs. asking people to manually increase savings.
Direct-deposit splits for non-401(k) goals
Most employers let you split direct deposit across 2–3 accounts. Send 80% to checking, 15% to a high-yield savings account (HYSA), 5% to a brokerage. The HYSA portion never sees your checking account, never feels like spending money.
The Practical Setup — 4 Automations to Make Right Now
Set these once. They run forever.
1. Set 401(k) contribution to at least the full employer match — today, not "when I have more money." 2. Open a high-yield savings account (Ally, Marcus, Capital One 360, Wealthfront — currently ~4–5% APY). Set a direct-deposit split to send 10–15% of each paycheck there automatically. 3. Schedule a monthly auto-transfer from HYSA to a Roth IRA at Fidelity, Schwab, or Vanguard until you hit the annual limit. 4. Set a calendar reminder for every January and every salary raise: increase 401(k) contribution by 1–2 percentage points. Don't ask yourself if you can afford it — just do it. You won't notice.
Compound Interest — The Most Powerful Force You Have Access To
Time × Rate × Money — Multiplied Together
Einstein reportedly called compound interest "the eighth wonder of the world." Whether or not he said it, the math is staggering — and time matters more than anything else.
Compound interest is the return you earn on returns you've already earned. Year 1 you earn interest on your principal. Year 2 you earn interest on principal + year 1's interest. Year 30 you're earning interest on 30 years of stacked-up returns. The result is exponential, not linear — which means most of your final wealth comes from the last decade, not the first. This is why time in the market matters more than anything else you do.
Saver A — Early Bird
Starts at 25 · Stops at 35
Saves $6,000/yr for 10 years · then $0
Total contributed$60,000
Years invested40 years (to 65)
Value at 65 (at 8%)~$915,000
Saver B — Late Starter
Starts at 35 · Saves Until 65
Saves $6,000/yr for 30 years
Total contributed$180,000
Years invested30 years (to 65)
Value at 65 (at 8%)~$680,000
What Just Happened
Saver A contributed $60K and ended with $915K. Saver B contributed $180K and ended with $680K.
Saver A put in one third the money — and ended up with ~35% more wealth. The only difference: 10 extra years of compounding at the start. This is why "start now even if it's small" is the most repeated piece of financial advice that exists. Every year you delay starting is a year of compounding you can never get back. A 25-year-old saving $100/month will outperform a 35-year-old saving $300/month — same total contributions, vastly different outcomes. If you're young, time is your single biggest advantage. If you're not young, the second-best time to start is today.
The Rule of 72 — How Fast Money Doubles
Annual Return
Years to Double
What This Looks Like
2% (HYSA at low rates)
~36 years
Inflation-protected at best. Money preserves value but doesn't grow.
4% (HYSA / T-bills, current)
~18 years
Modest real growth above inflation. Good for short-term and emergency cash.
7% (S&P 500 long-run real)
~10 years
Historical real (inflation-adjusted) S&P 500 return. Money roughly doubles each decade.
10% (S&P 500 long-run nominal)
~7 years
Historical nominal S&P 500 return (1926–present, including dividends). Doubles roughly every 7 years.
12% (factor-tilted long-run)
~6 years
Historical small-cap value return (Fama-French data, 1927–2020). Doubles roughly every 6 years.
How to Use the Rule of 72
Divide 72 by your expected annual return. The answer is roughly how many years it takes your money to double.
Examples: $10,000 invested at 8% = doubles in ~9 years (to $20K), then $40K at 18 years, $80K at 27 years, $160K at 36 years. Notice how the dollar amounts of growth get bigger each cycle — the first double earns you $10K, but the fourth double earns $80K. Most of compounding's payoff happens in the back half of your investing career — which is exactly why starting early matters so much. If you cut your investing window in half, you don't lose half the wealth. You lose three-quarters of it.
The Order to Fund — A Standard Personal-Finance Hierarchy
Where to Send Each Dollar, In What Order
Different goals deserve different accounts. This is the order most fee-only planners agree on.
Money that needs to last 40 years (retirement) should not sit in the same account as money you'll spend in 6 months (emergency fund). The order below is the hierarchy used by Vanguard, Fidelity, and most fee-only fiduciary planners. Each step builds on the one before it.
Priority
What
Target
Why
1
Starter emergency fund
$1,000–$2,000
Covers a car repair, ER visit, or short-term gap. Held in a high-yield savings account (HYSA) earning ~4–5%.
2
Pay off high-interest debt
All >7% APR
Credit cards, payday loans, auto loans >7%. Guaranteed ~15–25% return by elimination. No investment beats it.
3
Capture employer 401(k) match
Full match
Free money — typically 50–100% return on contributions up to ~3–6% of salary. Never leave this on the table.
4
Full emergency fund
3–6 months expenses
Covers job loss, medical event, major repair. Stable income → 3 months. Variable income / single earner → 6 months. HYSA or money market.
5
Max tax-advantaged accounts
HSA → Roth IRA → 401(k)
HSA first if eligible (triple tax advantage). Roth IRA up to limit (~$7,000 in 2026 — verify current limit). Then back to 401(k) up to ~$23,500 (2026 — verify).
6
Near-term goals (1–5 years)
As needed
House down payment, car replacement, planned medical. HYSA or T-bills (SGOV). Never invest 1–3 year money in equities.
7
Taxable brokerage
Long-term surplus
Once 1–6 are funded. This is where the Bogle/Greenblatt portfolios live.
Savings Rate — A Simple Benchmark
Save 15–25% of gross income for long-term goals. The exact number depends on when you started and when you want to stop.
A starting saver in their 20s can hit a comfortable retirement on ~15% of income. Starting at 35 typically requires ~20–25%. Starting at 45 requires ~30%+ or a longer working career. The savings rate is the single biggest lever — bigger than asset allocation, bigger than market timing, bigger than the choice between Bogle and Greenblatt.
Bogle Passive Approach
Own everything. Pay almost nothing. Hold forever. The most evidence-backed way most people should invest.
These portfolios beat approximately 85% of professional active managers over 20-year periods — not because they're clever, but because they're cheap, diversified, and boring. The two sub-tabs below split the framework: the Foundations tab covers Bogle's three core principles, his bond-allocation rule of thumb, and the three-fund building blocks. The Glide Path tab covers Vanguard's published de-risking schedule and how target-date funds package the entire framework into a single ticker.
Three Things — That's the Whole Strategy
Principle 1
Own Everything
One total-market index fund holds thousands of companies in a single ticker. You stop trying to pick winners — you own all the winners and all the losers, and the winners more than make up for the losers over time. Total US market = VTI. Total world = VT. Total bond market = BND. That's the universe.
Principle 2
Pay Almost Nothing
Costs compound against you exactly the way returns compound for you. A 1% expense ratio over 40 years eats roughly a third of your final wealth. Vanguard's flagship index funds run 0.03–0.07%. Avoid anything over 0.20% unless there's a specific reason. The cheaper the fund, the more of the market's return ends up in your pocket.
Principle 3
Hold Forever
Trading destroys returns through taxes, transaction costs, and bad timing. The investor who buys once and holds for 30 years almost always beats the one who buys, sells, and re-buys based on the news. "Don't do something. Just stand there." Rebalance once a year if needed; otherwise, leave it alone.
The Bond Allocation Rule — Your Age in Bonds
Bogle's Rule of Thumb
Bond % = your age. Equity % = 100 − your age. One number determines your stock/bond split.
A 30-year-old holds 30% bonds, 70% equities. A 50-year-old holds 50% bonds, 50% equities. A 70-year-old holds 70% bonds, 30% equities. The math is automatic — every birthday, your bond allocation goes up by one. This is the cleanest version of the rule. Many investors today consider it slightly conservative given longer lifespans, and a common adjustment is "120 − age" or "110 − age" for those with above-average risk tolerance and 30+ years still ahead. Pick the version that lets you sleep through a −40% bear market without selling. The right allocation is the one that keeps you invested through the worst years.
The Building Blocks — Three Tickers Cover the Entire World
VTI
Vanguard Total Stock Market
~3,600 US stocks · ER 0.03%
The entire investable US stock market in one fund. Microsoft to micro-caps. Use this for your US stock allocation.
VXUS
Vanguard Total International Stock
~8,500 ex-US stocks · ER 0.05%
Developed and emerging markets, 40+ countries. Add this for global diversification — typically 20–40% of your equity sleeve. Or use VT to combine US + international in one ticker.
BND
Vanguard Total Bond Market
~10,000 US investment-grade bonds · ER 0.03%
Treasuries, corporates, mortgage-backed. Use this for your bond allocation. Holds up when stocks crash — gives you something to rebalance from.
Bogle's Own Words
"The simplest approach is often the most effective. Invest regularly, diversify broadly, minimize costs, and stay the course."
He used a simple two-fund portfolio his entire investing life. When asked how many funds you need, he said: "Two is fine. Three is plenty. More than that is usually more trouble than it's worth."
⭐ The One-Fund Solution
Vanguard Target-Date Funds
The entire glide path, packaged into a single ticker. ~$1.5 trillion under management.
Don't want to manage the glide path yourself? Buy one fund and forget it. A Vanguard target-date fund executes the entire glide path on this page automatically — gradually shifting from stocks to bonds as you approach your target year, holding US + international + TIPS in the right proportions throughout. ER ~0.08%. Pick the fund whose year is closest to when you'll need the money. The fund manager handles every de-risking step. This is genuinely set and forget.
VFIFX
Target Retirement 2050 · For ~age 30 today · ER 0.08%
~90% stocks today
VFFVX
Target Retirement 2055 · For ~age 25 today · ER 0.08%
~90% stocks today
VFORX
Target Retirement 2040 · For ~age 40 today · ER 0.08%
~80% stocks today
VTHRX
Target Retirement 2030 · For ~age 55 today · ER 0.08%
~63% stocks today
VTINX
Target Retirement Income · Already retired · ER 0.08%
~30% stocks · final allocation
Why these are the most-evidence-backed allocation strategy in existence: Vanguard manages roughly $1.5 trillion in target-date funds. The glide path is updated based on decades of academic research. The funds rebalance automatically. They hold the right blend of US, international, and TIPS at every stage. They handle the entire de-risking schedule below — without you having to lift a finger.
The Glide Path Itself — Translated to Years Until You Need the Money
Source: Vanguard Target Retirement Funds
The glide path runs from 90% equity early career down to 30% equity in late retirement. Each row is a milestone — the target-date funds above move through them automatically.
Below is Vanguard's published glide path, framed by years until you need to start drawing the money rather than calendar age. The logic is the same — when you have a long horizon, you can absorb volatility for higher growth; as the horizon shortens, you trade growth for stability. If you buy a Vanguard target-date fund (above), this entire schedule runs automatically in the background. If you'd rather build it yourself with VTI/VXUS/BND, the table below shows what to hold at each stage.
VTI 60% + VXUS 30% + BND 10% or just VT 90% + BND 10%
Vanguard's starting point. Long horizon absorbs every historical bear market with room to spare. Bonds temper volatility without sacrificing meaningful growth.
25 Years
Mid-career · still aggressive
85%
15%
VTI 55% + VXUS 30% + BND 15%
Vanguard begins gradually de-risking. Two full market cycles still likely before drawdown. Growth remains priority.
15 Years
Transition · slowing down
70%
30%
VTI 45% + VXUS 25% + BND 25% + Short-term TIPS 5%
De-risking accelerates. Vanguard begins introducing short-term TIPS for inflation protection. One bear market still recoverable.
5 Years
Pre-need · sequence risk dominates
55%
45%
VTI 35% + VXUS 20% + BND 35% + TIPS 10%
Sequence-of-returns risk is highest in the 5 years before drawdown. A bad market here without recovery time can permanently impair the goal. Bonds become the floor.
At Need / Year 0
Drawing down · needs > growth
50%
50%
VTI 30% + VXUS 20% + BND 40% + TIPS 10%
Vanguard's "at retirement" allocation. Balanced — still 50% in stocks because money may need to last 30+ years.
7+ Years Into Need
Late retirement · final allocation
30%
70%
VTI 20% + VXUS 10% + BND 55% + TIPS 15%
Vanguard's terminal allocation (typically reached at age ~72). The stock sleeve is for inflation protection over a long retirement, not growth.
The Bottom Line on Glide Paths
Buying a Vanguard target-date fund is the simplest, most-evidence-backed way to invest. Replicating it with VTI/VXUS/BND is fine if you want more control or lower fees.
If you'd rather not think about asset allocation ever again, pick a target-date fund whose year matches when you'll need the money. If you want to handle rebalancing yourself, use the table above and adjust once a year. Either way, the underlying glide path is the same — and decades of academic research support it.
The June 2026 Rule Change — What It Means for Index Investors
Bogle's S&P 500 index fund was designed to own proven, profitable businesses. That assumption changed. Two alternatives worth understanding.
As of June 2026, the S&P 500 waived its four-quarter profitability requirement for mega-cap companies. Because the index is cap-weighted and the top 10 holdings represent ~35% of the index, a single unprofitable mega-cap IPO (SpaceX, OpenAI, Anthropic) could immediately become one of your largest holdings through any S&P 500 ETF. This tab compares two alternatives investors are evaluating in response: VTI (Vanguard Total Stock Market) and RSP (Invesco S&P 500 Equal Weight). Neither is a clear upgrade — each involves real tradeoffs.
VTI — Vanguard Total Stock Market ETF
VTI
Vanguard Total Stock Market ETF · ~3,700 stocks · ER 0.03%
Cap-weighted Includes all sizes
Where VTI meets Bogle's standards
✓Own everything. VTI holds ~3,700 US companies across every size — large, mid, small, and micro cap. It is the closest living expression of Bogle's "own the entire market" principle.
✓Pay almost nothing. At 0.03% expense ratio, VTI is among the cheapest funds ever created — exactly what Bogle intended.
✓Hold forever. Passive, low-turnover, tax-efficient. Bogle himself used Vanguard funds. VTI is the ETF version of what he built.
✓Unaffected by the June 2026 S&P rule change. VTI tracks the CRSP US Total Market Index, not the S&P 500. The new mega-cap profitability waiver does not apply to VTI's index methodology.
Where VTI departs from a strict Bogle reading
—Has always included unprofitable companies. VTI holds every publicly traded US company regardless of profitability. Small-cap and micro-cap companies losing money have always been part of VTI. This is not new — but it means VTI never had the quality filter the S&P 500 previously provided.
—Still cap-weighted. The top 10 holdings represent ~28–30% of VTI — slightly less concentrated than the S&P 500, but mega-caps still dominate. A massive unprofitable IPO would still become a significant VTI holding by market cap.
✓Passive and low-cost. RSP is a rules-based index fund at 0.20% — higher than VTI but still far cheaper than active management. Bogle's cost principle is largely met.
✓Neutralizes the mega-cap concentration problem. Equal weighting means every S&P 500 company gets ~0.2% regardless of market cap. An unprofitable SpaceX at $2T would have the same weight as a profitable mid-size company at $20B. The June 2026 rule change has far less impact in RSP than in cap-weighted S&P 500 ETFs.
✓Still uses the S&P 500's profitability screen — for everyone except mega-caps. The 490 non-mega-cap companies must still demonstrate four quarters of profitability to enter the index.
Where RSP departs from Bogle
—Not "own everything." RSP holds only 500 large-cap US stocks. No mid-cap, no small-cap, no international. Bogle's broadest index funds were total-market, not large-cap only.
—Higher turnover and tax drag. Equal-weighting requires quarterly rebalancing to reset every stock back to 0.2%. This creates more taxable events than a cap-weighted fund. Bogle explicitly warned against unnecessary turnover.
—Higher cost. 0.20% vs VTI's 0.03%. Over 30 years the gap compounds meaningfully. Bogle's principle was costs matter more than almost anything.
—Implicit small/mid tilt. Equal-weighting overweights smaller S&P 500 companies relative to their economic size. This is a form of active tilt that Bogle would not have endorsed — it's a bet that smaller companies outperform, not pure market-cap neutrality.
Side-by-Side Comparison
Factor
VTI
RSP
Bogle's "own everything"
✓ ~3,700 stocks all sizes
✗ 500 large-caps only
Expense ratio
✓ 0.03%
~ 0.20%
Turnover / tax drag
✓ Very low
✗ Quarterly rebalancing
Mega-cap concentration
~ Top 10 ≈ 29%
✓ Top 10 ≈ 2%
Affected by June 2026 rule change
✓ Not affected (CRSP index)
✓ Minimal impact (equal weight)
Profitability screen
✗ Never had one
~ Partial (non-mega-caps only)
Historical outperformance vs S&P 500
~ Slight edge (small-cap exposure)
~ Cyclical (value cycles)
Bogle would have endorsed
✓ Yes — closest to his vision
~ Partially
The Honest Bottom Line
No fund perfectly preserves Bogle's original intent in a post-June-2026 world. VTI is the closest. RSP solves one problem but creates others.
VTI was always Bogle's broader vision — own the whole market, pay nothing, hold forever. It was never tied to the S&P 500's profitability screen, so the June 2026 rule change doesn't touch it. The tradeoff: VTI is still cap-weighted, so mega-caps still dominate. RSP genuinely neutralizes the concentration problem, but at the cost of higher fees, higher turnover, and a large-cap-only universe Bogle would have found too narrow. Neither is objectively better — the right choice depends on whether you're more concerned about concentration risk or cost efficiency. Both are reasonable. Both are far better than active management.
Greenblatt Simple — Fundamental-Weighted ETFs
Own great businesses at fair prices. No stock picking required. Greenblatt's quality+value philosophy, packaged into one or two ETFs that re-weight by fundamentals — not by market cap.
Greenblatt has written that most investors are better off in factor ETFs than picking individual stocks. FNDB (Schwab Fundamental US Broad Market) is the cleanest single-fund expression of this philosophy: it owns ~1,650 US companies but weights them by their economic footprint — adjusted sales, retained operating cash flow, and dividends + buybacks — instead of by share price. Companies that have grown their fundamentals get bigger weights; companies whose prices have run up faster than their underlying business get trimmed. That's the Greenblatt thesis, automated. Greenblatt does not advocate for or against holding cash; the cash reserve discussion lives on the dedicated Cash & Deployment tab.
The One-Ticker Portfolio
100% FNDB
Schwab Fundamental US Broad Market ETF · ~1,650 stocks
FNDB
ER 0.25% · ~$1.16B AUM · Tracks RAFI Fundamental High Liquidity US All Index
100%
One fund. One decision. ~1,650 US companies covering the entire size spectrum, weighted by fundamentals rather than market cap — so you systematically own more of the companies whose underlying business is growing and less of the ones whose prices have outrun their fundamentals.
What FNDB Owns — And Why the Weights Matter
Fundamental Weighting — The Greenblatt Idea, Mechanized
FNDB ranks ~1,650 US companies by sales, retained cash flow, and dividends plus buybacks. Not by stock price. Not by market cap.
FNDB tracks the RAFI Fundamental High Liquidity US All Index, which selects and weights companies using three measures of real economic size: adjusted sales, retained operating cash flow, and total cash distributed to shareholders (dividends plus buybacks). Stock price plays no role in the weighting decision. The result is a portfolio where a company that has grown its sales and cash flow steadily for 5 years gets a larger weight than a company whose stock has tripled but whose underlying business hasn't kept up. This is exactly the Greenblatt principle — own great businesses at fair prices — translated into a passive index rule that runs automatically.
FNDB by Size — A Genuine All-Cap Fund
Size Bucket (Schwab data)
% of Portfolio
What It Means
Giant cap
~22.6%
The largest US companies (Apple, Microsoft, Exxon). Note this is much smaller than the S&P 500's giant-cap concentration of ~50%+.
Large cap
~35.1%
Established large-cap companies. Combined with giant, this is ~58% of the fund — versus ~85%+ in cap-weighted S&P 500 funds.
Mid cap
~28.1%
A genuinely substantial mid-cap allocation. The S&P 500 has none of these. VTI has ~20%.
Small cap
~10.1%
Smaller companies absent from the S&P 500 entirely. Captures part of the small-cap premium without a separate fund.
Micro cap
~4.2%
The smallest end of the investable universe — typically excluded from broad market funds. Adds tail diversification.
Source: Schwab Asset Management portfolio composition data (latest available). Mid + small + micro combined = ~42% of the fund — meaningful all-cap exposure baked into a single ticker. Top 10 holdings concentration is ~18–19%, vs. ~33% for cap-weighted S&P 500 funds.
How FNDB's Weights Actually Change
Mechanism
What Happens
Annual reconstitution
Once per year (around March), the index is fully rebuilt from scratch using the most recent fundamental data — sales, retained operating cash flow, and dividends plus buybacks.
Quarterly partial rebalance
The index is split into four equal segments. One segment rebalances each quarter on a rolling basis. This smooths out the impact of any single date's prices and keeps the fund consistently re-weighting toward fundamentals throughout the year.
Stocks whose business grew → larger weight
At each rebalance, companies whose fundamentals have grown relative to the rest of the market get higher weights — regardless of what their share price did.
Stocks that ran up without growing → smaller weight
Because prices move much faster than fundamentals, stocks that have rallied without proportional business growth get systematically trimmed at the next rebalance. This is what gives FNDB its built-in value/quality tilt.
Day-to-day drift between rebalances
Between scheduled rebalances, weights drift with daily prices the same as any other ETF. The contrarian re-weighting only happens at the scheduled rebalance dates — not in response to daily price noise.
Why This Works as a Whole Portfolio
Reason
What It Means
Maximum simplicity
One ticker, one decision, one quarterly statement to look at. The biggest enemy of investor returns is behavioral mistakes; a one-fund portfolio gives you the fewest opportunities to make them.
Systematic Greenblatt-style discipline
The fundamental re-weighting forces you to trim stocks that have run up without underlying growth and add to stocks that have lagged despite solid fundamentals. That contrarian discipline is exactly what most investors fail at when picking stocks themselves.
Built-in all-cap exposure
~58% large/giant + ~28% mid + ~14% small/micro is a more even size distribution than almost any single-ticker US fund. You don't need a separate small-cap fund to get small-cap exposure.
Reasonable cost
0.25% ER is roughly 8× a pure index fund (VTI at 0.03%) but a fraction of typical actively managed funds. Over decades, the cost has historically been earned back through the value/quality tilt — though there is no guarantee of that going forward.
Tradeoffs to Know
0.25% ER · Periods of underperformance vs. S&P 500 · Tracking error from broad market
FNDB costs ~8× more than VTI (0.03%). Over 30 years, that fee differential compounds to a meaningful drag — it has to be earned back through the fundamental re-weighting. The fund will also underperform the S&P 500 during periods when "expensive" stocks (large-cap growth) lead the market — sometimes for 3–5 years at a stretch. If you cannot stomach multi-year stretches of underperformance vs. a cap-weighted index, this is not the right fund for you. Cheaper alternative: VTI or VOO (cap-weighted, no value/quality tilt, but ~0.03% ER).
US Anchor + Optional Small-Cap Tilt
FNDB · plus optional AVUV
FNDB already gives meaningful small-cap exposure — AVUV is for those who want more
FNDB
All-cap, fundamentally weighted · ~14% small/micro built in · ER 0.25%
Anchor
AVUV
Avantis US Small Cap Value · ~750 stocks · ER 0.25% · only if you want extra tilt
Optional
FNDB already contains ~10% small-cap and ~4% micro-cap built into a single ticker. For most investors, that is sufficient small-cap exposure. AVUV is offered as an optional add-on for investors who specifically want a heavier tilt toward small-cap value — for example, long-horizon investors with high conviction in the size + value premium.
Why Small-Cap Exposure Matters (Already Built Into FNDB)
Reason
The Evidence
1. The size premium is one of the most-documented factors in finance
Eugene Fama and Kenneth French (Nobel-winning economists) documented the small-cap premium in their 1992 paper "The Cross-Section of Expected Stock Returns." Their data shows small-cap stocks have historically outperformed large-cap by ~1–3% annually over multi-decade periods. Fama-French research is the foundation of academic asset pricing today. (Source: Fama-French Data Library, Tuck School of Business at Dartmouth.)
2. The value premium compounds on top of the size premium
Fama and French also documented that within any size category, cheap stocks (low price-to-book) outperform expensive stocks. Combining the two — small AND cheap — has historically produced the largest premium of any factor combination. FNDB's fundamental weighting captures part of this naturally; AVUV captures it more directly within the small-cap segment.
3. Greenblatt himself recommends factor-tilted ETFs for retail investors
In The Big Secret for the Small Investor (2011), Greenblatt explicitly endorses fundamental-weighted and factor-weighted ETFs as the appropriate way for retail investors to capture his methodology without picking individual stocks. FNDB is one of the most direct passive expressions of his philosophy across the entire size spectrum.
4. Diversification — small-caps capture different economic exposure
Small-caps tend to be more domestically focused, more sensitive to interest rates, and more cyclical than large-caps. Owning them reduces concentration risk — the S&P 500 alone is currently ~30% concentrated in the top 10 companies, while FNDB's top 10 is ~19%. The fundamental weighting naturally pushes the portfolio away from that concentration.
If You Want Extra Small-Cap Tilt
FNDB anchor with a 10–25% AVUV sleeve is a reasonable extension. For most investors, FNDB alone is sufficient.
Common ranges if you choose to add AVUV: 85–90% FNDB / 10–15% AVUV for a modest extra tilt; 75–80% FNDB / 20–25% AVUV for a meaningful tilt commonly cited in factor-investing literature. Beyond ~25% AVUV, you're departing from a "Greenblatt simple" framework and moving into more aggressive small-cap value territory. A note on patience: small-cap value can underperform the broad market for 3–5 years at a stretch. From 2017–2021 it lagged large-cap growth significantly. The premium is real but requires multi-decade holding to collect.
Global Fundamental-Weighted
FNDB + FNDF · plus optional AVUV
Same fundamental methodology applied to US and developed international markets
FNDB
Schwab Fundamental US Broad Market · ~1,650 stocks · ER 0.25%
US Anchor
FNDF
Schwab Fundamental International Large · 25+ countries · ER 0.25%
Intl Anchor
AVUV
Avantis US Small Cap Value · only if you want extra small-cap tilt · ER 0.25%
Optional
FNDF applies the same fundamental weighting methodology as FNDB — adjusted sales, retained operating cash flow, and dividends plus buybacks — but to large-cap developed-market companies outside the US. Both funds are managed by Schwab Asset Management and track Russell RAFI indices using the same partial quarterly reconstitution mechanism. Common allocations: 60–75% FNDB / 25–40% FNDF. AVUV remains optional for those who want extra small-cap tilt on top.
FNDF — The International Twin of FNDB
Same Methodology · Different Universe
FNDF holds large developed ex-US companies — Europe, Japan, UK, Canada, Australia, etc. Weighted by the same three fundamental measures as FNDB.
FNDF tracks the Russell RAFI Developed ex-US Large Company Index. The index measures performance of large non-US developed market companies based on adjusted sales, retained operating cash flow, and dividends plus buybacks — identical methodology to FNDB. Companies that have grown their underlying business get larger weights; companies whose stock prices have outrun their fundamentals get trimmed at the next rebalance. ER 0.25%, AUM ~$21B (substantial — well-established fund). This is the closest international analog to FNDB's approach in the broad ETF universe.
Four Reasons to Include International Exposure
Reason
The Evidence
1. The leading region rotates by decade
In the 2000s, international stocks outperformed US stocks substantially — the MSCI EAFE index returned ~1.6% annually while the S&P 500 returned ~−0.9% (Morningstar data, 2000–2009). In the 2010s the relationship reversed: US crushed international. Going back further, Japan dominated the 1980s; Europe led portions of the 1970s. Nobody knows which decade you're in until it's over. Owning both means you participate in whichever region wins.
2. US valuations are currently in the top decile of history; international valuations are not
The Shiller CAPE ratio for the US has been above 30 (currently above 40) for most of the past several years — historically expensive. International developed markets (MSCI EAFE) typically trade at CAPE ratios in the 15–20 range — historically average. From the Cash & Deployment tab: starting valuations are the strongest predictor of 10-year forward returns. International's lower starting valuations imply higher expected returns even if business performance is similar. (Source: Robert Shiller's CAPE data, multpl.com.)
3. Fundamental weighting works internationally too
The same Research Affiliates / Russell RAFI methodology that powers FNDB has been applied to developed international markets in FNDF since 2013. The contrarian re-weighting mechanism — trimming stocks that have run up without proportional fundamental growth, adding to stocks that have lagged despite solid fundamentals — has historically captured a value premium internationally that has often been larger than the US value premium (Fama-French International Data, Tuck/Dartmouth).
A 100% US portfolio is also a 100% USD portfolio. FNDF holds companies that earn revenue in euros, yen, pounds, and other currencies. When the dollar weakens (which it has in long cycles historically), international holdings appreciate in dollar terms even if the underlying businesses don't change. This currency exposure acts as a hedge against US-specific risks — fiscal, political, regulatory — that could weigh on US assets but not international ones.
A Note on the Last 15 Years
US has won handily since 2010. Many investors now consider international "broken." That argument has been made — and reversed — many times in financial history.
Periods of US dominance create overconfidence in US-only portfolios. The 2000s should be the cautionary tale: an investor who held 100% US through that decade earned roughly nothing while an internationally-diversified investor earned meaningful returns. The case for international is not that it will outperform — it's that you can't predict when leadership rotates, and owning both ensures you don't miss the rotation. The cost of this insurance is some opportunity cost when US dominates; the benefit is participation when it doesn't.
Greenblatt Options — Three Optional Tilts to Layer Onto FNDB
Start with FNDB. Then choose how much to tilt — or how much not to. Cash reserve · Extra small-cap value · Additional international exposure.
The Greenblatt Simple tab covers the FNDB-anchored portfolio (US-only or global with FNDF). The Greenblatt Inspired (Advanced) tab is the full 8-ETF + 10-stock active portfolio. This page is the middle ground. If you want to keep things mostly simple but layer on one or two specific tilts, the three sections below give the ranges and the cited rationale for each option. Pick what makes sense for your situation. Mix and match. Or use none — FNDB alone is a complete portfolio.
Option 1 — Cash Reserve
Tilt 1 — Hold Cash Alongside FNDB
SGOV / BIL / Money Market
Dry powder for deployment when valuations come down
Greenblatt himself does not advocate holding cash — his framework is about stock selection. But other major investors (Buffett, Grantham, Marks, Hussman, Dalio) hold meaningful cash reserves, especially when valuations are elevated. The Cash & Deployment tab covers the full evidence base. Below are common ranges if you want to layer a cash sleeve onto an FNDB anchor.
Approach
FNDB
Cash
Who It Fits
Minimal reserve
95–100%
0–5%
Long-horizon investors (20+ years), reasonable valuation environment, or someone who does not want to make timing decisions. Matches Vanguard / BlackRock baseline.
Moderate reserve
85–95%
5–15%
Investors comfortable with some opportunistic deployment. Aligns with Dalio's All-Weather range and the "elevated valuation" row of the Cash tab table.
Defensive reserve
75–85%
15–25%
Today's environment (CAPE 40+, Buffett Indicator 220%+) sits in this row. Closer to Grantham / Hussman range. Significant opportunity cost in a continuing bull market — significant insulation in a drawdown.
Four Reasons to Hold Cash
The Evidence
1. Buffett's record speaks for itself
Berkshire Hathaway has held $100B+ in cash and short-term Treasuries throughout most of the 2020s, with the explicit stated purpose of deploying it when valuations come down. Buffett wrote in his 2024 letter that cash gives Berkshire "extraordinary optionality." Whatever the criticism of cash drag, the most successful investor of the modern era has voted with his balance sheet for decades. (Source: Berkshire Hathaway annual letters.)
2. Starting valuations predict 10-year returns
Robert Shiller's CAPE research (Yale, 2014) shows that when CAPE exceeds 25, average annualized returns over the following 10 years drop to roughly 0–4%. When CAPE is below 15, average 10-year forward returns have historically been ~12%+. Starting valuations are the single strongest predictor of long-term forward returns ever found in equity research. With CAPE currently above 40, the historical math is unfavorable. (Source: shillerdata.com, multpl.com.)
3. Cash earns ~4–5% currently — no longer free
For most of the 2010s, the opportunity cost of holding cash was extreme — short-term Treasuries paid <1%. Today, SGOV (iShares 0–3 Month Treasury) and BIL pay roughly 4–5% with effectively zero duration risk. The "cash drag" argument is much weaker when cash itself yields meaningfully positive real returns. The classic critique of cash assumes near-zero yields; that's not the current regime.
4. Behavioral protection — you stay invested through crashes
Studies of investor behavior (DALBAR's Quantitative Analysis of Investor Behavior) consistently show that the average equity investor underperforms the market by 3–4% annually because of panic selling at bottoms. Holding a cash reserve gives you something to deploy during a crash — which psychologically anchors you against panic-selling your equity holdings. The reserve is partly a market-timing tool and partly a behavioral insurance policy. The Cash & Deployment tab covers the full mechanics.
Option 2 — Extra Small-Cap Value (AVUV)
Tilt 2 — Add Small-Cap Value Beyond What FNDB Already Holds
AVUV — Avantis US Small Cap Value
~750 stocks · ER 0.25% · screens for size + value + profitability
FNDB already holds ~10% small-cap and ~4% micro-cap, so a moderate small-cap presence is built in. AVUV is the lever for investors who want significantly more small-cap value tilt than FNDB provides naturally. AVUV is actively managed by Avantis using factor screens (size, value via low price-to-book, profitability), which is the closest non-Greenblatt analog to his quality+value framework applied at the small-cap end of the market.
Approach
FNDB
AVUV
Who It Fits
Modest tilt
85–95%
5–15%
Investors who want a small extra small-cap-value tilt without a major commitment. Tracking error to broad market stays modest.
Balanced tilt
75–85%
15–25%
Commonly cited in factor-investing literature as a meaningful tilt without going extreme. Reasonable starting point for someone with high conviction.
Aggressive tilt
65–75%
25–35%
Long-horizon investors with high conviction in the small-cap value premium and tolerance for multi-year underperformance vs. the broad market.
Four Reasons to Add AVUV
The Evidence
1. The size premium is one of the most-documented factors in finance
Eugene Fama and Kenneth French (Nobel Prize winners) documented the small-cap premium in their 1992 paper "The Cross-Section of Expected Stock Returns." Their data shows small-cap stocks have historically outperformed large-cap by ~1–3% annually over multi-decade periods. This is the foundation of the modern Fama-French three-factor model used across academic finance. (Source: Fama-French Data Library, Tuck School of Business at Dartmouth.)
2. The value premium compounds on top of the size premium
Fama-French's research also documented the value premium — cheap stocks (low price-to-book) outperforming expensive ones within any size category. Combining size AND value has historically produced the largest premium of any factor combination, with small-cap value outperforming the broad market by ~3–4% annually over multi-decade periods. AVUV is built around this exact factor stacking.
3. Profitability screening protects against the "small-cap junk" problem
Robert Novy-Marx's 2013 paper "The Other Side of Value" showed that adding a profitability screen to small-cap value substantially improves the factor's risk-adjusted returns by filtering out structurally unprofitable companies that drag the cohort down. AVUV explicitly includes a profitability screen alongside size and value — which is one reason it has outperformed many traditional small-cap-value index funds since its 2019 launch. (Source: Novy-Marx 2013, Journal of Financial Economics.)
4. Greenblatt himself recommends factor-tilted ETFs
In The Big Secret for the Small Investor (2011), Greenblatt explicitly endorses fundamental and factor-weighted ETFs as the appropriate way for retail investors to capture his methodology without picking individual stocks. AVUV's combination of size, value, and profitability screens is a direct factor-based expression of his quality-plus-value framework — applied at the small-cap end where FNDB's coverage is thinnest.
Option 3 — Additional International Exposure (FNDF)
Tilt 3 — Add Developed International to FNDB
FNDF — Schwab Fundamental International Large
~$21B AUM · ER 0.25% · same fundamental methodology as FNDB
FNDB is 99% US. FNDF applies the same fundamental weighting methodology — adjusted sales, retained operating cash flow, dividends + buybacks — to large developed-market companies outside the US (Europe, Japan, UK, Canada, Australia). Both funds use identical RAFI indices and the same partial quarterly reconstitution mechanism. Adding FNDF gives you international exposure without abandoning the fundamental-weighted philosophy.
Approach
FNDB
FNDF
Who It Fits
US-leaning
75–85%
15–25%
Investors who want some international exposure but believe US continues to lead. Modest hedge against US-specific risks.
Market-cap balanced
60–70%
30–40%
Approximates global market-cap weights (~60% US, ~40% developed international). Diversification-first approach. Closest to what a target-date fund would build.
Valuation-tilted
45–55%
45–55%
For investors who weight current valuations heavily — international developed markets currently trade at substantially lower CAPE ratios than US. Maximum international exposure within a "Greenblatt simple" framework.
Four Reasons to Add FNDF
The Evidence
1. The leading region rotates by decade
In the 2000s, international stocks outperformed US stocks substantially — the MSCI EAFE index returned ~1.6% annually while the S&P 500 returned ~−0.9% (Morningstar data, 2000–2009). In the 2010s the relationship reversed: US crushed international. Going back further, Japan dominated the 1980s; Europe led portions of the 1970s. Nobody knows which decade you're in until it's over. Owning both means you participate in whichever region wins.
2. US valuations are currently in the top decile of history; international's are not
The Shiller CAPE ratio for the US has been above 30 for most of the past several years and is currently above 40 — historically expensive. International developed markets (MSCI EAFE) typically trade at CAPE ratios in the 15–20 range — historically average. Starting valuations are the strongest predictor of 10-year forward returns. International's lower starting valuations imply higher expected returns even if business performance is similar. (Source: Robert Shiller's CAPE data, multpl.com.)
3. The international value premium has historically been larger than US
Fama-French International data has shown the value premium in developed international markets has often been larger than the US value premium over multi-decade periods. FNDF captures part of this naturally through its fundamental weighting — trimming stocks that have run up without proportional fundamental growth, adding to those that have lagged despite solid fundamentals. Same mechanism as FNDB, applied to a different universe. (Source: Fama-French International Data, Tuck/Dartmouth.)
A 100% US portfolio is also a 100% USD portfolio. FNDF holds companies that earn revenue in euros, yen, pounds, and other currencies. When the dollar weakens (which it has in long cycles historically), international holdings appreciate in dollar terms even if the underlying businesses don't change. This currency exposure acts as a hedge against US-specific risks — fiscal, political, regulatory — that could weigh on US assets but not international ones. The 2025 USD weakening illustrated this dynamic in real time.
Combining the Three Options — A Worked Example
Each option is independent. You can pick one, two, or all three. The percentages just have to add to 100%.
Example A — Cash only: 90% FNDB + 10% SGOV. Same as the Greenblatt Simple US tab, but with a moderate cash reserve. Example B — Cash + small-cap tilt: 70% FNDB + 20% AVUV + 10% SGOV. Example C — Global with cash: 55% FNDB + 30% FNDF + 15% SGOV. Example D — All three options: 50% FNDB + 20% FNDF + 15% AVUV + 15% SGOV. The Greenblatt Inspired (Advanced) tab is essentially a more elaborate version of Example D with additional sleeves; the simpler combinations on this page capture most of the benefit at a fraction of the complexity.
⚠️ Greenblatt Inspired · Active · Advanced — This Portfolio
This is not a passive set-and-forget portfolio. It requires annual stock thesis reviews, deployment discipline during bear markets, and comfort with factor underperformance.
The 8-ETF + 10-stock structure below is the full recommended portfolio developed across this playbook. It applies Greenblatt's quality+value philosophy at scale using factor ETFs, supplemented by 10 individual high-ROIC, durable-moat stocks. The 20% cash reserve replaces bonds and deploys systematically across 5 bear market trigger levels. If you want something simpler, use the Bogle or Greenblatt Simple tabs above. This version is for investors who want to go deeper.
Architecture
Three sleeves, one philosophy: quality + value + geographic diversity with 20% deployable reserve as active defense.
US Equity (50%): FNDB as the broad fundamental-weighted core (~1,700 stocks, value tilt), AVUV for small-cap quality+value (the Greenblatt engine, ~750 stocks), DGRW as a quality-growth dividend anchor (~1.8% yield · quality-growth tilt), QUAL as a quality tilt (high ROE, low leverage), and a 10-stock individual sleeve for highest-conviction Greenblatt picks. International (30%): FNDF for developed markets, AVDV for international small-cap value (~1,100 stocks, 20+ countries), AVES for emerging markets — all three use quality+value screens that avoid cap-weight momentum traps. Reserve (20%): SGOV or VUSXX earning the Fed rate with zero duration risk, deployed systematically across 5 bear market trigger levels. Tech at ~20% is a deliberate overweight through the individual stock sleeve (ASML, MSFT, ADBE) — considered conviction, not cap-weight accident.
Complete Allocation
FNDB20%
AVUV13%
DGRW5%
QUAL5%
Stock Sleeve7%
FNDF13%
AVDV10%
AVES7%
SGOV/VUSXX20%
US Equity — 50%
FNDB
Schwab Fundamental US Broad · ~1,700 stocks · value tilt
20%
16% — 24%
AVUV
Avantis US Small Cap Value · quality+value · ~750 stocks
Schwab Fundamental Intl Large · developed markets · fundamental-weighted
13%
10% — 16%
AVDV
Avantis Intl Small Cap Value · ~1,100 stocks · 20+ countries
10%
7% — 13%
AVES
Avantis Emerging Markets Value · quality+value screen
7%
5% — 9%
Cash Reserve — 20%
SGOV
iShares 0-3 Mo T-Bill · or VUSXX · earns Fed rate · zero duration risk
20%
3% min — 20% max
Tech (Deliberate)
~20%
Vs 38% accidental in current portfolio
Intentional overweight
Unique Companies
~3,600
Vs ~1,400 in current portfolio
+157%
Fossil Fuel
~7%
Vs ~9% in current portfolio
−2pp
Dry Powder
20%
$100k on $500k — 32% more vs 15%
+$25k firepower
Weighted ER
0.21%
Vs ~0.27% current portfolio
−22%
Defense Philosophy
No bonds. Active defense through a 20% cash reserve deployed systematically when markets fall hardest.
This structure will fall harder than low-volatility portfolios in the first weeks of a bear market — and then outperform significantly through the deployment and recovery cycle. The 20% reserve is not idle drag; it is the active defense mechanism. Over a 10-year horizon, deploying at −25% to −40% lows historically generates far more wealth than passive defensive dampening. The playbook exists precisely so you execute without hesitation when everything feels worst.
📅
Stock picks as of March 10, 2026 — not financial advice.
Individual stock selections reflect research and analysis conducted on this date. Business conditions, ROIC, competitive moats, and valuations change continuously. Every position should be re-evaluated annually each September against the 4-question thesis checklist (see Rebalance Rules tab). This is not a recommendation to buy or sell any security. The author is not a licensed financial advisor. Do your own research before acting on anything here.
Stock Sleeve Philosophy
10 stocks · ~0.7% each · Greenblatt quality+value framework. VEEV replaces DXCM. SDSTY and EADSY dropped entirely.
Each stock selected for: (1) ROIC above 15% — the business earns exceptional returns on invested capital, (2) Durable moat — structural competitive advantage that protects those returns, (3) Not already dominated by the ETF sleeve — adds exposure unavailable or underweighted in FNDB/AVUV/AVDV. Annual thesis review replaces mechanical rebalancing — exit if ROIC declines below 12% for 2+ consecutive years or the competitive moat is broken.
10-Stock Sleeve — Full Evaluation
ASML
ASML Holding · Semiconductor Lithography
★ Highest Conviction
ROIC
67.8%
P/E
~37×
Rev Growth
+31%
The strongest Greenblatt score on the list. ROIC of 67.8% — every dollar invested returns 68 cents annually. Only company on earth that makes EUV lithography machines. Every advanced semiconductor — Apple chips, Nvidia GPUs, AMD processors — requires ASML's machines. 10-year technological lead with High-NA EUV next generation. Revenue grew 31% in 2025. Adds European tech anchor with zero correlation to US momentum stocks.
Allocation: 0.9% · Greenblatt: Quality 10/10 · Value 7/10
IDEXX
IDEXX Laboratories · Veterinary Diagnostics
★ Strong Keep
ROIC
45%+
P/E
~51×
Gross Margin
61.8%
Second-highest ROIC on the list. Dominant veterinary diagnostics platform — proprietary analyzers create consumable lock-in. Pet humanization trend is a structural secular growth driver. EPS grew 21% Q3 2025, revenue grew 14% Q4 2025. Recurring reference lab and consumable revenue makes earnings highly predictable. Quality compounder that will never be in AVUV (too large, wrong sector).
Allocation: 0.8% · Greenblatt: Quality 10/10 · Value 4/10
ISRG
Intuitive Surgical · Robotic Surgery
★ Strong Keep
ROIC
~20%
P/E
~70×
Market Share
~80%
80% global robotic surgery market share. 9,500+ installed da Vinci systems generating recurring blade and instrument revenue. 10+ year surgeon training curves create near-impenetrable switching costs. Revenue grew 20%, EPS grew 23% in 2025. Expensive at 70× but the moat is one of the strongest in all of medical devices — no credible competitor has closed the gap in 20 years of trying.
Allocation: 0.8% · Greenblatt: Quality 8/10 · Value 3/10
SBGSY
Schneider Electric · Energy Management & AI Infrastructure
★ Strong Keep
ROIC
~15%
Tailwind
AI + Grid
Geography
Europe
Best international pick on the list. Dominant data center power management platform (EcoStruxure) — every AI data center needs Schneider's power distribution and cooling systems. This is the picks-and-shovels of AI infrastructure without paying AI multiples. ROIC ~15%, improving margins, building automation + grid infrastructure structural tailwinds. European industrial anchor unavailable at this quality in AVDV.
Allocation: 0.8% · Greenblatt: Quality 7/10 · Value 6/10
ADBE
Adobe · Creative Cloud Platform
★ Best Value on List
ROIC
~29%
P/E
~27×
EPS
$20+
Most Greenblatt-complete pick on the list at current prices. ROIC 29%, P/E ~27× — cheapest it has been in years. 30M+ Creative Cloud subscribers with massive switching costs. AI risk (Figma, Canva, generative tools) is real but Adobe is integrating Firefly aggressively. The selloff from AI fear has created genuine value — a $20+ EPS business at 27× is a reasonable valuation for this quality level. Deliberate tech weight addition.
Allocation: 0.8% · Greenblatt: Quality 8/10 · Value 7/10
V
Visa · Global Payment Network
★ Greenblatt Core
ROIC
~40%
Net Margin
53%
P/E
~32×
Among the top 5 highest-ROIC large caps on earth. The payment network is a genuine toll road — Visa processes every swipe with zero credit risk and 53% net margins. Network effects are the strongest financial moat in existence: 4.3 billion cards, 130 million merchant locations, acceptance in 200+ countries. Added as a new position replacing EADSY — fills a financials quality gap that AVUV covers systematically but not with this moat quality.
Allocation: 0.8% · Greenblatt: Quality 9/10 · Value 6/10
MSFT
Microsoft · Cloud + AI Platform
★ Tech Anchor
ROIC
~30%
P/E
~33×
Azure Growth
+30%
Deliberate tech weight addition — the most defensible large-cap tech pick. ROIC ~30%, Azure cloud growing 30%+, Office 365 and Teams with near-100% enterprise lock-in. 77,000+ GitHub Copilot paying organizations and OpenAI exclusive partnership make MSFT the clearest AI infrastructure bet. Already in FNDB and QUAL at small weights — explicit holding reinforces conviction. Adds meaningful tech sector weight cleanly.
Allocation: 0.8% · Greenblatt: Quality 8/10 · Value 6/10
ABB
ABB Ltd · Electrification & Robotics
★ Keep
ROIC
~22%
P/E
~25×
Dividend
~2%
Most reasonably valued of the international names. ROIC ~22%, P/E ~25×, 2% dividend. World-leading robotics and electrification — industrial automation, EV charging, grid systems, factory robotics. Manufacturing reshoring + electrification of industry + AI-driven automation are structural tailwinds. Greenblatt fit: Quality 7/10, Value 7/10 — the most balanced quality/value score on the list after ADBE.
Allocation: 0.7% · Greenblatt: Quality 7/10 · Value 7/10
LIN
Linde · Industrial Gases
★ Compounder
ROIC
~9.5%
Free Cash Flow
$5B+
Op Margin
28%
Lowest ROIC on the list but justified by permanent contract structure. Long-term take-or-pay agreements with pricing indexed to inflation create near-permanent revenue streams. AI data center cooling and semiconductor manufacturing require massive industrial gas supply — Linde is a direct AI infrastructure beneficiary without AI multiples. $5B+ free cash flow, consistent buybacks. Hydrogen energy transition is a decade-long additional tailwind.
Allocation: 0.6% · Greenblatt: Quality 5/10 · Value 5/10
VEEV
Veeva Systems · Life Sciences Cloud — replaces DXCM
★ New Addition
ROIC
31.4%
P/E
~24×
Op Income Gr.
+61%
Replaces DXCM which carried unquantifiable GLP-1 structural risk. ROIC 31.4% vs. WACC 10.87% — significant economic value creation. Dominant cloud platform for pharmaceutical and biotech companies — CRM, clinical trials, regulatory submissions, drug safety. Down 37% from 52-week high on Vault CRM migration risk from Salesforce — a near-term risk that is also the long-term moat strengthener. Operating income grew 61% FY2025, EPS grew 38%, Q4 revenue grew 16%.
Allocation: 0.7% · Greenblatt: Quality 8/10 · Value 7/10
Stock Sleeve Summary — Ranked by ROIC
7% of total portfolio · ~0.7% avg per stockData as of Mar 10, 2026 · re-evaluate each September
Ticker
Company
Sector
ROIC
P/E
Greenblatt
Alloc
ASML
ASML Holding
Tech · Europe
67.8%
37×
★★★★★
0.9%
IDEXX
IDEXX Laboratories
Healthcare
45%+
51×
★★★★★
0.8%
V
Visa
Financials
~40%
32×
★★★★½
0.8%
MSFT
Microsoft
Tech · US
~30%
33×
★★★★☆
0.8%
VEEV
Veeva Systems
Healthcare SaaS
31.4%
24×
★★★★☆
0.7%
ADBE
Adobe
Tech · US
~29%
27×
★★★★☆
0.8%
ISRG
Intuitive Surgical
Healthcare
~20%
70×
★★★★☆
0.8%
ABB
ABB Ltd
Industrials · CH
~22%
25×
★★★★☆
0.7%
SBGSY
Schneider Electric
Industrials · FR
~15%
28×
★★★★☆
0.8%
LIN
Linde plc
Materials
~9.5%
30×
★★★☆☆
0.6%
Total Sleeve
7.5%
🔍 Greenblatt Magic Formula Screener — Powered by Claude AI
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Magic Formula Picks
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Sector Allocation
How to Use These Picks
Starting points — not buy orders. Run the 4-question thesis check before acting.
For each stock: (1) Confirm ROIC and earnings yield still hold with latest earnings, (2) Check for major news since August 2025, (3) Verify the moat is intact, (4) Confirm sector weights stay within target ranges. Run the screener each September — Claude's knowledge through August captures the latest full-year financials, making September the ideal annual review window. See the Rebalance Rules tab for the full checklist.
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Sector Breakdown — Three-Way Comparison
Total US Stock Market
VTI benchmark
Technology
~30%
Healthcare
~13%
Financials
~13%
Consumer Cyc.
~11%
Industrials
~9%
Comm. Services
~8%
Consumer Def.
~7%
Energy
~5%
Real Estate
~3%
Utilities
~2%
This Proposed Portfolio
Quality-tilted
Technology
~20%
Financials
~17%
Industrials
~15%
Healthcare
~13%
Consumer Cyc.
~11%
Basic Materials
~9%
Energy (Fossil)
~7%
Consumer Def.
~6%
Comm. Services
~2%
Your Portfolio
Not entered yet
Enter your holdings in the My Portfolio tab to see your sector breakdown here.
Sector Profitability — 20-Year Historical Context
Average Annual Return by Sector · 2004–2024
S&P 500 sectors · approximate
Sector
~20yr Ann. Return
vs. S&P 500 (~10%)
Key Driver
Technology
~15–18%
+5–8pp
Platform monopolies, high ROIC, recurring revenue compounding
Financials
~10–12%
+0–2pp
Exchanges and networks outperformed; banks dragged by 2008
Healthcare
~11–13%
+1–3pp
Aging demographics, pricing power, patent moats
Comm. Services
~10–12%
+0–2pp
Google and Meta dominated post-2010; legacy telecom dragged 2004–2010
Industrials
~9–11%
±1pp
Cyclical but durable; best performers were monopoly industrials
Consumer Cyclical
~10–13%
+0–3pp
Amazon dominated; auto and retail were poor
#06b6d4; Consumer Defensive
~8–10%
±0pp
Steady, low-volatility; underperformed in bull markets
Basic Materials
~7–9%
−1–3pp
Commodity cycles; poor capital allocators as a group
Real Estate
~7–9%
−1–3pp
Income reliable; capital appreciation lagged equities
Utilities
~6–8%
−2–4pp
Regulated monopoly pricing; inflation erodes real returns
Energy (Fossil)
~5–7%
−3–5pp
Volatile commodity cycles; capital destruction in downturns; long-term headwind from energy transition
What the 20-Year Data Shows
The sectors that compounded best were not the most popular — they were the most defensible.
Technology outperformed because it produced genuine monopolies (Google, Microsoft, Apple) not just growth stories. Healthcare was steady because aging demographics and pricing power are structural, not cyclical. Energy underperformed despite oil price spikes because commodity businesses destroy capital in downturns faster than they create it in booms. The proposed portfolio deliberately overweights the top three sectors (Tech, Financials, Healthcare, Industrials) and underweights or eliminates the bottom four (Energy, Utilities, Real Estate, Basic Materials as a primary sector bet). This is not a market call — it's an alignment with where durable business models concentrate.
Your Portfolio vs. Recommended — Sector Gap Analysis
Two-Trigger System
Annual review every January + immediate action if any position breaches its band. Contributions first — sell only if the gap can't close within 3 months of new money.
Never rebalance during a falling market — if AVUV drifts from 13% to 9% because markets are down, that is the deployment system's job, not a rebalance event. Only rebalance when a position breaches its ceiling due to outperformance, or when it is the annual September review. Tax rule: In tax-advantaged accounts (IRA/401k) rebalance freely. In taxable accounts, weigh the capital gains cost — a 1–2pp drift may not be worth the tax drag; a 4–5pp breach almost always is.
ETF Positions — Targets, Bands & Rebalance Rules
Annual Jan + immediate on breach
Position
Target %
Floor
Ceiling
When to Rebalance
How to Rebalance
US Equity — 50% of total portfolio
FNDB
Schwab Fundamental US Broad · Core position
20%
16%
24%
September annual review always. Immediate if <16% or >24%. Widest band of any position — small drifts are noise at this size.
Direct new contributions here first if below 20%. Only sell FNDB to rebalance if it is above 24% and contributions alone can't close within 3 months.
AVUV
Avantis US Small Cap Value · Greenblatt engine
13%
10%
16%
September + quarterly check — small-cap is volatile and most likely to breach. Trim immediately if above 16%; buy immediately if below 10%.
Buy AVUV via contributions if below 13%. Trim excess into FNDB or FNDF if above 16%. Do not trim during a market decline — that is the deployment system's domain.
DGRW
WisdomTree US Quality Dividend Growth · Defensive anchor
5%
3%
7%
September annual review. Dividends (~1.8% yield · quality-growth tilt) are paid quarterly — redirect them to the most underweight position rather than reinvesting in DGRW automatically.
Small position; contributions are the easiest rebalance lever. Trim above 7% only if September annual review confirms persistent overweight.
QUAL
iShares MSCI USA Quality · Quality tilt
5%
3%
7%
September annual review only. QUAL is a steady position — breaches are rare given its large-cap composition. No need for quarterly monitoring.
Hold within band via contributions. Do not actively add above target; do not reduce below 3%.
Individual Stock Sleeve — 7% of total portfolio · see per-stock table below
International Equity — 30% of total portfolio
FNDF
Schwab Fundamental Intl Large · Core intl
13%
10%
16%
January + mid-year check. USD/foreign currency swings can push this 2–3pp in either direction in a single quarter. Don't react to currency moves alone.
Buy via contributions when below 13%. Trim into AVUV or FNDB if above 16% at September annual review.
AVDV
Avantis Intl Small Cap Value · Most volatile
10%
7%
13%
September + quarterly check. Most likely position to breach a band. Monitor quarterly. Breach below 7% in falling markets = deployment system territory, not rebalance.
Trim above 13% into FNDF. Buy below 10% via contributions. Do not sell AVDV during a general market decline — the whole point is to hold it through volatility.
AVES
Avantis Emerging Markets Value · EM sleeve
7%
5%
9%
January + mid-year check. Tight ±2pp band because EM volatility is outsized at 7% weight. A 2pp drift represents 29% relative movement — act promptly on breach.
Buy via contributions below 7%. Trim excess into AVDV or FNDF above 9%. Don't rebalance based on geopolitical headlines alone.
Cash Reserve — 20% baseline · dynamic range 3%–20%
SGOV / VUSXX
T-Bill ETF or Treasury Money Market · Dry powder
20%
3% min
20% max
Governed by deployment system, not calendar rebalance. The reserve falls as triggers fire and is rebuilt via the refill protocol. September annual review confirms refill progress only.
Never "rebalance" out of reserve into equities except via the 5-trigger system. Rebuild to 20% via 30% of new contributions once S&P returns to within 10% of prior ATH.
Total Portfolio
100%
Wtd ER ~0.21%
Annual September full portfolio review — Claude's August knowledge cutoff makes September ideal · Immediate action on any band breach · Never rebalance into a falling market
September annually. Highest conviction — let it run. Only trim if above 1.3% and another position is below floor.
IDEXX
IDEXX Laboratories · Vet Diagnostics
0.8%
0.4%
1.2%
ROIC <25% sustained · or recurring revenue model disrupted
September annually. Sticky compounder — expect slow drift, not sudden moves. Standard annual check sufficient.
ISRG
Intuitive Surgical · Robotic Surgery
0.8%
0.4%
1.2%
ROIC <12% · or credible competitor closes <5yr gap
September annually. High P/E (~70×) makes it prone to sharp drawdowns on miss — do not panic-sell below floor; review thesis, not price.
SBGSY
Schneider Electric · Energy Mgmt
0.8%
0.4%
1.2%
ROIC <12% · or data center power management moat lost
September annually. ADR — check for liquidity before trading. EUR/USD moves will cause apparent drift; only rebalance on real thesis changes.
ADBE
Adobe · Creative Cloud
0.8%
0.4%
1.2%
ROIC <15% · or subscriber base structurally declines 2+ years
September annually. Currently cheapest on the list (~27× P/E) — lean into it if it falls further below 0.4%. AI integration thesis check every January.
V
Visa · Payment Network
0.8%
0.4%
1.2%
ROIC <20% · or network effect moat structurally eroded
September annually. Visa is stable and boring — exactly right. Annual check on regulatory risk (interchange fee legislation) is the primary thesis monitor.
MSFT
Microsoft · Cloud + AI
0.8%
0.4%
1.2%
ROIC <20% · or Azure loses cloud leadership to AWS/GCP decisively
September annually. Also held in FNDB and QUAL at small weights — monitor total effective exposure stays <3% including ETF overlap.
ABB
ABB Ltd · Robotics + Electrification
0.7%
0.3%
1.1%
ROIC <12% · or industrial automation growth stalls 2+ years
September annually. Swiss-listed ADR — check liquidity. Most balanced quality/value score on the list; don't trim unless ceiling is breached.
LIN
Linde plc · Industrial Gases
0.6%
0.3%
1.0%
Free cash flow <$3B sustained · or take-or-pay contract model breaks
September annually. Smallest ETF-sleeve allocation. ROIC is lower (~9.5%) but justified by permanent contract structure — use FCF as the primary health metric, not ROIC alone.
September annually. Down 37% from high — currently below target weight. Buy via contributions until at 0.7%. Primary watch: Vault CRM migration completion rate every quarter.
Sleeve Total
7.5%
5% min
10% max
Replace exited stock with next-best Greenblatt candidate
Rebalance entire sleeve to equal weight once annually in January. Thesis check on every holding every January — not just price check.
01
Order of Operations
Step 1 — Contributions first. Direct new money to the most underweight position. No tax event, no friction, no selling required.
Step 2 — Wait 3 months. If contributions close the gap within 3 months, done. If not, proceed to Step 3.
Step 3 — Sell to rebalance. Only in tax-advantaged accounts unless the breach is extreme (>5pp). In taxable accounts, weigh gains cost first.
02
The One Rule That Overrides All Others
Never rebalance into a falling market.
If AVUV falls from 13% to 8%, that is not a rebalance event — it is a deployment trigger event. The 5-trigger system handles falling markets. The rebalance system handles normal drift from growth differences.
Rebalance = trim winners / grow laggards during normal markets. Deploy = buy aggressively during crashes. These are separate systems.
03
Stock Sleeve Annual Checklist
Every January, for each of the 10 stocks ask:
① ROIC still above threshold? (see per-stock table)
② Moat intact? New competitors? Pricing power lost?
③ Capital allocation changed? Buybacks → acquisitions?
④ Position at target weight? Below floor → add. Above ceiling → trim.
If ① and ② are both failing: exit. Don't wait for price recovery.
Cash Reserve — The Evidence Base
Greenblatt does not advocate for or against cash reserves. Other investors do — and the historical data is worth knowing on its own terms.
This page is intentionally separated from the Greenblatt Investing pages. Greenblatt's published method is about what to buy — quality businesses at fair prices — not about how much cash to hold. The cash-reserve concept comes from a different group of investors and from valuation research. This page summarizes what they say, what the historical data shows, and how it informs the deployment system in the next tab. You can apply Greenblatt's stock selection with zero cash reserve, with a 5% reserve, or with a 30% reserve. The data informs the choice — it does not dictate it.
Investors Who Recommend a Cash Reserve (and Those Who Don't)
Investor
Position on Cash
Suggested Range
Joel Greenblatt
Does not publicly advocate for or against a cash reserve. His framework focuses on stock selection (quality + value), not asset allocation. Neither The Little Book That Beats the Market nor The Big Secret prescribes a cash percentage.
Not specified
Warren Buffett
Holds large cash reserves at Berkshire (often $100B+) for opportunistic deployment. No fixed percentage rule. Says cash is "a tool to deploy when others are fearful." Has stated Berkshire keeps a $20B+ floor.
Variable — principle-based
Jeremy Grantham (GMO)
Recommends raising cash when valuations are extreme. When Shiller CAPE is in the top decile (>30), suggests holding 10–20% cash as a buffer.
10–20% when CAPE >30
Howard Marks (Oaktree)
"Move forward but with caution" when risk/reward is unfavorable. No fixed percentage — adjusts dynamically based on the credit cycle and market valuations.
Variable — cycle-based
John Hussman
Aggressively raises cash at high valuations. When CAPE exceeds 25–30, has recommended 20–30% cash. Most defensive of the major commentators.
20–30% at high CAPE
Ray Dalio (Bridgewater)
"All Weather" portfolio includes a small cash-like sleeve as part of risk parity. Roughly 5–10% in cash equivalents.
5–10% baseline
Mark Cuban
Holds significant cash for protection and opportunity. No specified percentage. "Cash is king when others are forced to sell."
Significant — unspecified
Vanguard / BlackRock research
Institutional research suggests 5–10% cash can reduce portfolio volatility, especially when valuations are stretched.
5–10% baseline
John Bogle
Did not advocate market timing or strategic cash. Preferred bonds for ballast, not cash. "Stay the course" — fully invested across stocks and bonds.
Bonds, not cash
Historical Crashes — Drop Size and Recovery Time
Crash Event
Drop from Peak
Time to Recover
+1yr Return
+3yr Return
1929 — Great Depression
−89%
~25 years
N/A
N/A
1973–74 — Oil Crisis
−48%
~2.5 years
+15%
+40%
2000 — Dot-Com
−49%
~5 years
+5%
+30%
2008 — Financial Crisis
−57%
~5 years
+26%
+80%
2020 — COVID-19
−34%
~6 months
+18%
+50%
What the Drop-Size Data Says
≥30% drops have historically been more reliable reinvestment signals than ≥20% drops. But percentage drops alone are weaker predictors than valuation metrics.
A ≥20% drop is a meaningful correction (~60% historical success rate for deployment). A ≥30% drop coincides more often with extreme undervaluation (~75% success rate). But the same percentage drop can mean very different things: 2020's −34% drop bottomed at a CAPE of ~25 (still expensive), while 2009's −57% drop bottomed at a CAPE of ~13 (historically cheap). The 3-year forward returns reflected this — 2009 deployment compounded much faster than 2020 deployment.
Valuation Metrics — Stronger Predictors Than Drop Size
CAPE peaked at ~32 in 1929, ~44 in 2000, dropped to ~13 in 2009. Above 30 historically signals expensive; below 15 signals cheap. Current value typically runs around 40+ as of 2026.
multpl.com shows the current CAPE at the top of the page — no clicking through. Updates daily.
Metric 2
Buffett Indicator
Total US market cap ÷ US GDP
Mkt Cap / GDP
Avg 10yr Return
<50%
~12–15%
50–75%
~8–10%
75–100%
~6–8%
100–120%
~2–4%
>120%
~0–2%
Peaked at ~137% in 2000, ~190% in 2021. Dropped to ~55% in 2009. Buffett called >100% "playing with fire." As of 2026, has hit record territory above 220%.
GuruFocus updates daily and shows the current value prominently. buffettindicator.net updates every 30 seconds during market hours.
Suggested Cash Allocation — Combining Drop Size and Valuation
Summarized Guidance — 5% to 30% Cash Reserve
No formula is universal, but the historical data converges on a 5–30% range. The right number depends on your time horizon, risk tolerance, and current valuations.
When valuations are extreme (CAPE >30 or Buffett Indicator >120%), the case for a larger reserve is strongest. When valuations are reasonable (CAPE <20, Buffett Indicator <100%), most research supports a smaller reserve or full investment. The table below summarizes what the major investors and historical data converge on.
Market Condition
Signal
Suggested Cash
Source / Logic
Cheap
CAPE <15 · Buffett Ind <75%
0–5%
Deploy aggressively. Historical 10yr returns ~12–15%. Holding cash here costs decades of compounding.
Fair
CAPE 15–20 · Buffett Ind 75–100%
5–10%
Vanguard/BlackRock baseline. Dalio All Weather range. Modest reserve for opportunistic buying.
Elevated
CAPE 20–25 · Buffett Ind 100–120%
10–15%
Doug Short / Michael Kitces range. Margin of safety begins to compress.
Hussman's most defensive setting. 1929 / 2000 / 2021 territory. Top decile of historical valuation.
Practical Decision Rule (Distilled)
Check both metrics. Pick the more cautious of the two if they disagree. Reassess annually — not monthly.
Step 1: Look up current CAPE (multpl.com) and Buffett Indicator (gurufocus.com or buffettindicator.net). Step 2: Find the row that matches in the table above. Step 3: If the two metrics give different rows, pick the more cautious one. Step 4: Adjust for personal factors — younger investors with long horizons should sit at the low end of the suggested range; investors near retirement at the high end. Step 5: Don't trade in and out monthly. The historical edge comes from being positioned right when a crash arrives — not from precision tuning.
From Theory to Execution — The Deployment System
Pre-Committed Rules · Executed Under Stress
A reserve only earns its keep if it gets deployed at the right moment. The system below pre-commits the deployment schedule now — in calm — so you don't have to decide in panic.
The valuation guidance above answers how much cash to hold. This deployment system answers when and how to deploy it when a drawdown arrives. Triggers are measured from the S&P 500's most recent all-time high (52-week high is a workable proxy). Deployment percentages refer to remaining reserve at that moment — not the original reserve. The system deploys more as the drop deepens, because that is what the historical data demands. Every −40%+ bear market since 1950 has recovered to new highs. The example below uses a 20% reserve on a $500k portfolio — $100k of dry powder. Scale the dollar amounts to your own reserve.
Level 1
−10%
from all-time high
Dip Buy — Trickle In
Happens ~every 16 months historically. Very common — most don't become bear markets. Small starter position. Don't waste big ammunition here.
Deploy
15%
of reserve · ~$15k
AVUV40%
AVDV30%
FNDB20%
AVES10%
Level 2
−15%
from all-time high
Meaningful Correction — Buy More
~40% of these continue to -20%+. Step up. This is where Greenblatt instinct kicks in — good businesses getting genuinely cheaper.
Deploy
20%
of reserve · ~$17k
AVUV35%
FNDF25%
FNDB25%
AVDV15%
Level 3
−25%
from all-time high
Bear Market — Significant Deployment
Official bear territory. Terrible headlines. Earnings yields spike as prices fall — the Magic Formula at work. Deploy anyway. Every -25% drop historically has been a good 3-year entry.
Deploy
30%
of reserve · ~$20k
AVUV30%
FNDB25%
AVDV20%
AVES15%
DGRW10%
Level 4
−35%
from all-time high
Severe Bear — Major Deployment
Occurred 8 times since 1950. Every single one recovered to new highs. News will feel existential. That is the signal — not the reason to pause.
Deploy
50%
of reserve · ~$24k
AVUV28%
FNDB22%
AVDV20%
FNDF15%
AVES15%
Level 5
−40%+
from all-time high
Capitulation — Deploy Everything Remaining
2009. 2020. The world feels broken. This is when Buffett said "be greedy when others are fearful." Zero hesitation. Every dollar here is doing the most work of your investing life.
Deploy
100%
all remaining reserve
AVUV28%
FNDB20%
AVDV20%
FNDF15%
AVES12%
DGRW5%
The Three Rules That Override Everything
Never skip a level. Never deploy more than scheduled. Never sell existing holdings to fund deployment.
Rule 1 — Never skip: If it hits −25%, you deploy at −10%, −15%, and −25% in sequence. No waiting to "see where the bottom is." Rule 2 — Never over-deploy: Saving ammunition for deeper drops is the entire point of the tiered system. Rule 3 — Additive only: The reserve is separately funded. Deployment buys are on top of your existing portfolio — you are never selling FNDB to buy AVUV.
Tying It Together — From Valuation to Action
The valuation table sets your reserve size. The trigger ladder spends it. Together, they're a single end-to-end system.
The Bogle portfolios use bonds for ballast — they do not use a separate cash reserve at all. The Greenblatt Simple portfolios are pure stock allocations — also no fixed cash reserve, since Greenblatt himself does not advocate one. The Greenblatt Inspired (Advanced) portfolio uses a 20% reserve as its baseline — chosen because today's valuation environment (CAPE above 30, Buffett Indicator above 200%) sits in the "expensive to extreme" rows of the valuation table above. When CAPE drops back below 20, the reserve target shrinks; when it climbs above 30, it grows. The trigger ladder is what gets that reserve invested when the drawdown finally comes.
The Equally Important Second Half
Deploying the reserve is only half the system. Rebuilding it ensures you enter the next bear market fully loaded.
Bear markets occur every 5–7 years on average. Over your 10-year horizon you will likely face 2. If you deploy fully in Year 2 and never rebuild, you have nothing for Year 7. The refill protocol is as non-negotiable as the deployment triggers.
R1
Don't Refill During Recovery
Do NOT redirect contributions to SGOV while the market is recovering. The best returns are in months 1–18 post-bottom. Let deployed positions compound. Continue regular contributions into FNDB, AVUV, AVDV. Refill begins only when S&P is within 10% of previous ATH.
R2
30% Rule — Skim on the Way Up
Once S&P is near old ATH: direct 30% of all new contributions to SGOV until reserve is rebuilt to 20% of total portfolio. This is "skimming the cream" — converting new equity gains to reserve without selling existing positions.
R3
Partial Deploy = Partial Refill
Only reached Level 2 before recovery? Only refill the 35% you deployed. Match the refill to the deployment. Same 30% of contributions rule. Don't over-save after a shallow correction — let equity work for you.
R4
Where to Hold Reserve
SGOV (preferred): 0-3 mo T-Bill, state-tax-exempt, earns Fed rate, zero duration risk. VUSXX (acceptable): If you're already there, the friction of switching exceeds the yield difference. Never: BND, VGSH, or anything with credit risk for the reserve.
The Insurance Premium Math
20% in SGOV at 4.5% vs. fully invested at 7% costs ~0.5%/year. That's ~$2,500/year on a $500k portfolio. Deployed once per decade, it pays for itself many times over.
The drag: 20% × (7% − 4.5%) = 0.5% annualized. The payoff: historically deploying $100k at a -40% bear market bottom generates approximately $40,000–$80,000 in additional returns over 3–5 years versus holding that same $100k in equities from peak. You pay $2,500/year for the option to capture $60,000. That is a favorable trade — but only if you execute.
Important Disclosure
This dashboard is for educational and informational purposes only and does not constitute personalized investment advice. Individual stock evaluations are based on publicly available data and represent one analytical framework — they are not buy recommendations. ROIC, P/E, and sector weight figures are approximate and may change. Historical drawdown and recovery data is based on S&P 500 index performance and does not guarantee future results. All investing involves risk including possible loss of principal. Consult a licensed financial advisor before implementing any investment strategy.
Portfolio Size Calculator
Enter your total portfolio value to see exact dollar amounts for every position and every deployment trigger level.
All amounts update instantly. Deployment dollar figures assume the reserve is at its full 20% starting amount. Partial-deploy scenarios (reserve already partially used) are shown below the main tables.
Total Portfolio Value
$
Reserve (20%)
$100,000
Target Position Sizes
Position
Role
Target %
Target $
Floor $
Ceiling $
Deployment Trigger Dollar Amounts — from full $100k reserve
Level
Drop
Deploy % of Reserve
Deploy $
AVUV $
FNDB $
AVDV $
FNDF $
AVES $
DGRW $
Stock Sleeve Dollar Allocations
Stock
Company
Target %
Target $
Add Below $
Trim Above $
Partial Reserve Scenario
If reserve has already been partially deployed, the remaining dollar amounts scale proportionally.
Example on a $500k portfolio: After Level 1 fires (−10%), you've deployed 15% of reserve = $15,000. Remaining reserve = $85,000. Next trigger (Level 2) deploys 20% of remaining$85,000 = $17,000. The trigger percentages are always of the reserve at that moment, not the original $100k.
Transition Plan — Your Portfolio → Proposed Structure
Personalized advice based on what you hold and where you hold it.
Enter your holdings in the My Portfolio tab to get specific transition steps for each position, split by taxable and non-taxable accounts. The guidance below applies generally — your specific plan will appear once holdings are entered.
Core Tax Principles — Applies to Any Transition
Tax-Free / Tax-Deferred Accounts
Roth IRA · Traditional IRA · 401k
✦ Sell anything freely — no capital gains tax
✦ Do all rebalancing here first
✦ Hold highest-growth assets in Roth (never taxed)
✦ Hold income-producing assets in Traditional IRA
✦ Build stock sleeve here preferentially
✦ No wash-sale rule applies across account types — but do not repurchase substantially identical securities within 30 days in a taxable account after harvesting a loss
Taxable Brokerage Account
After-Tax Dollars
✦ Sell with gains only if structural improvement clearly justifies tax drag
✦ Always harvest losses — pair against gains in same tax year
✦ Hold for 12+ months to qualify for long-term capital gains rates (0/15/20%)
✦ Use new contributions to rebalance rather than selling
✦ Highly appreciated positions — consider holding unless thesis broken
✦ Consider gifting highly appreciated shares to charity (avoid gains entirely)
Sell vs. Hold Decision Framework
When to Sell in a Taxable Account
Tax-aware order
Situation
Taxable Action
Non-Taxable Action
Position at a loss
Sell immediately — harvest loss to offset gains. Replace with similar but not identical ETF for 30 days.
Sell freely, no tax consideration needed.
Small gain (<15% unrealized)
Sell if holding >12 months (long-term rate). Pair with any harvested losses to neutralize tax.
Sell freely.
Large gain (>50% unrealized)
Pause. Only sell if thesis is broken or position is significantly over-weight. Consider holding and rebalancing via contributions.
Sell freely — this is the most valuable use of a tax-advantaged account.
Redundant ETF (overlaps new holdings)
Sell if at a loss or small gain. If large gain, let it run and use contributions to build the replacement.
Sell and replace immediately.
Highly appreciated single stock
Hold unless moat broken or concentration above 10% of portfolio. Consider tax-loss pair or donor-advised fund for charity.
Sell and diversify if over 5% of total portfolio.
Position in wrong account type
Gradually migrate: hold in taxable until a natural sell point, rebuild in IRA/Roth.
Sell and move to optimal account immediately.
Optimal Asset Location — What Goes Where
Asset Location by Account Type
Hold each asset in its optimal account
Asset
Best Account
Reason
Individual Stocks (ASML, V, MCO…)
Roth IRA
Highest expected growth + never taxed on exit. If no Roth, use Traditional IRA over taxable.
AVUV — US Small Cap Value
Roth IRA
Small-cap value has highest expected return premium — maximize in tax-free account.
AVDV — Intl Small Cap Value
Taxable
Foreign tax credit (FTC) only claimable in taxable accounts — you lose the FTC in an IRA.
FNDF / AVES — Intl ETFs
Taxable
Same FTC reason — international ETFs pay foreign taxes, reclaim in taxable only.
FNDB — US Core
Either
Tax-efficient ETF, low turnover. Fine in taxable; better alternatives for IRA slots.
DGRW — Dividend Growth
IRA/401k
Dividends are taxed annually in taxable — shelter the income in a tax-deferred account.
QUAL — Quality ETF
Either
Low turnover, qualified dividends — manageable in taxable but slightly better in IRA.
SGOV / VUSXX — Reserve
Taxable
SGOV is state-tax-exempt — that exemption only applies in a taxable account. In an IRA it provides no tax advantage over other bonds.
General Transition Sequence — Any Portfolio
Phase 1
Non-Taxable First
Day 1 – Week 1
Start in your IRA/401k/Roth where there are no tax consequences. Sell all positions that don't belong in the final portfolio. Buy replacements immediately to stay invested. This should take one day per account — do it completely before touching any taxable account.
Ideal sequence: Roth IRA first (highest-growth assets), then Traditional IRA or 401k (income assets), then taxable last.
Phase 2
Loss Harvest in Taxable
Week 1 – Week 2
In your taxable account, identify every position with an unrealized loss. Sell those first — the tax losses offset gains you'll realize when selling appreciated positions. Replace immediately with a similar-but-not-identical substitute to stay invested (e.g. sell VIOV, buy AVUV same day — different fund, same small-cap value exposure, no wash-sale issue).
Track carefully: Note the total losses harvested. These offset gains dollar-for-dollar.
Phase 3
Gain Positions in Taxable
Week 2 – Month 2
Use harvested losses to offset gains when selling appreciated positions. Prioritize selling positions held >12 months (long-term rate 0–20% vs. short-term rate up to 37%). For positions with large gains and no thesis issue — hold and redirect new contributions toward the target allocation instead of selling.
Rule of thumb: If the structural improvement is worth more than 1.5× the tax drag over 5 years, sell. If it's a minor optimization, let contributions do the rebalancing.
Phase 4
Stock Sleeve + Reserve
Month 1 – Month 6
Build the 10-stock sleeve gradually — never all at once. Spread over 4–6 months to average entry prices. Build reserve (SGOV) to 20% in parallel via contributions. Do not sell equity ETFs to fund the reserve — let cash flow build it.
Stock sleeve priority order: Start with the highest conviction names first (ASML, V, IDEXX), then fill the rest at equal pace over subsequent months.
Your Personalized Transition Plan
Non-Taxable Accounts
Roth · IRA · 401k
Taxable Brokerage
After-Tax Account
Important
This is a framework, not financial advice. Tax situations vary significantly.
Consult a CPA or tax advisor before executing significant taxable transactions. The guidance above reflects general principles — your marginal tax rate, state taxes, existing loss carryforwards, and account mix all affect the optimal sequence. The most important rule: never let tax-aversion permanently prevent a structurally better portfolio.
Time Horizons — A Vanguard Glide Path, Portfolio-Agnostic
When you'll need the money is the single biggest input to how you should be allocated. This page is independent of which portfolio framework you've chosen — it works for Bogle, Greenblatt Simple, Options, or Advanced.
The framework below uses Vanguard's published target-date glide path — the de-risking schedule embedded in roughly $1.5 trillion of target-date fund assets and the most-tested asset allocation curve in the world. Vanguard moves participants from 90% equity at age 25 down to 30% equity by age 72, then holds steady. This page translates that schedule into broad asset categories rather than specific tickers — so you can implement it using whichever fund family you prefer (Vanguard, Schwab, Avantis, iShares, or any combination thereof). Each category below lists every fund and ETF mentioned elsewhere in this app that fits that category — pick the ones that match your existing portfolio.
Source: Vanguard Target Retirement Funds Research
Vanguard's glide path — 90% equity → 30% equity by age 72 — is the underlying framework. Decades of academic research and ~$1.5 trillion in target-date fund assets back it.
Vanguard's "Vanguard's Approach to Target-Date Funds" (2022 research paper) and ongoing publications from their Strategic Asset Allocation Committee describe the methodology. Vanguard uses a straight-line de-risking approach — gradual annual reduction in equity allocation — based on the Vanguard Life-Cycle Investing Model (VLCM). They begin reducing stock exposure ~25 years before target retirement, introduce short-term TIPS for inflation protection in the final 5–7 years, and reach a terminal 30% equity allocation at age 72 (the most common withdrawal age per Vanguard's research). If you don't want to manage any of this yourself, just buy the appropriate Vanguard target-date fund — VFIFX (2050), VTHRX (2030), VTINX (Income), and so on. The fund executes the entire schedule below automatically.
The Three Asset Categories — Funds Mentioned Across This App
Category 1
US EQUITY
The growth engine
Examples used in this app:
FNDB — Schwab Fundamental US Broad (~1,650 stocks · ER 0.25%)
VTI — Vanguard Total Stock Market (~3,600 stocks · ER 0.03%)
VOO / SPY — S&P 500 index (500 stocks · ER 0.03–0.09%)
AVUV — Avantis US Small Cap Value (~750 stocks · ER 0.25%)
QUAL — iShares MSCI USA Quality Factor (~125 stocks · ER 0.15%)
DGRW — WisdomTree US Quality Dividend Growth (~300 stocks · ER 0.28%)
BIL — SPDR 1–3 Month T-Bill (cash equivalent · ER 0.13%)
VGSH — Vanguard Short-Term Treasury (1–3 yr · ER 0.04%)
VTIP — Vanguard Short-Term TIPS (inflation protection · ER 0.04%)
Vanguard introduces short-term TIPS ~5–7 years before target date for inflation protection.
The Vanguard Glide Path — Translated to Years Until You Need the Money
How to Read This Table
Each row is a stage in your investing life. Each column is a category percentage. Pick the funds from the category boxes above that match your portfolio philosophy.
Bogle investor? Use VTI for US Equity, VXUS for International Equity, BND for Stability — that's the literal Vanguard target-date fund construction. Greenblatt Simple investor? Use FNDB for US, FNDF for International, SGOV for Stability. Greenblatt Inspired (Advanced) investor? The Advanced portfolio holds a flat 20% reserve regardless of horizon — use this glide path to adjust it up or down based on your actual horizon. The percentages below are independent of which specific funds you use; they describe the category-level allocation that Vanguard's research supports.
Vanguard Glide Path · Category-Level Allocation
Equity ↓ Stability ↑ as horizon shortens
Years Until Need Money
Phase
US Equity
Intl Equity
Stability
What Vanguard Says
40+ Years ~age 25 to 35
Early career · maximum growth
54%
36%
10%
Vanguard's starting point: 90% equity / 10% bonds. Equity split 60% US / 40% intl. Long horizon absorbs every historical bear market with room to spare.
25 Years ~age 40
Mid-career · still aggressive
51%
34%
15%
Vanguard begins gradual de-risking — straight-line annual reduction. Two full market cycles still likely before drawdown. Growth remains priority.
15 Years ~age 50
Transition · slowing down
42%
28%
30%
De-risking accelerates. One bear market still recoverable. Equity at 70% total.
5 Years ~age 60
Pre-need · sequence risk dominates
33%
22%
45%
Sequence-of-returns risk is highest in the 5 years before drawdown. Vanguard introduces short-term TIPS here for inflation protection. Stability sleeve becomes the floor.
At Need / Year 0 ~age 65
Drawing down · needs > growth
30%
20%
50%
Vanguard's "at retirement" allocation: 50% equity / 50% bonds + TIPS. Still 50% in stocks because money may need to last 30+ years.
7+ Years Into Need ~age 72+
Late retirement · final allocation
18%
12%
70%
Vanguard's terminal allocation. Reached at age 72 — Vanguard's research says this is the most common withdrawal age. The 30% equity sleeve is for inflation protection over a long retirement, not growth. Holds constant from here.
The One-Fund Shortcut — Vanguard Target-Date Funds
⭐ Don't Want to Manage This Yourself?
Buy One Fund and Forget It
Vanguard target-date funds execute the entire glide path above automatically · ER ~0.08%
Pick the fund whose year matches when you'll need the money. The fund manager handles every de-risking step in the table above. One ticker, automatic rebalancing, ~0.08% expense ratio, the holdings update on the schedule Vanguard's research supports. This is genuinely set-and-forget — the most-evidence-backed allocation strategy in existence, packaged as a single fund.
VFFVX · Target Retirement 2055 · for ~age 25 today
~90% equity
VFIFX · Target Retirement 2050 · for ~age 30 today
~90% equity
VFORX · Target Retirement 2040 · for ~age 40 today
~80% equity
VTHRX · Target Retirement 2030 · for ~age 55 today
~63% equity
VTINX · Target Retirement Income · already retired
~30% equity (terminal)
How to Apply This to Each Portfolio Style
Portfolio Style
How to Implement This Glide Path
Bogle
Use the literal Vanguard target-date construction: VTI for US Equity, VXUS for International Equity, BND for Stability. Or simply buy the appropriate target-date fund (VFIFX/VTHRX/VTINX) and you're done. This is the most direct expression of the glide path.
Greenblatt Simple
Substitute fundamentally-weighted ETFs: FNDB for US Equity, FNDF for International Equity, SGOV/BIL or BND for Stability. The category percentages from the glide path table stay the same; only the tickers change.
Greenblatt Options
Layer the optional tilts (extra AVUV, extra FNDF, larger cash sleeve) onto whatever glide-path stage matches your horizon. The Cash Reserve option is essentially a horizon-independent override of the Stability sleeve — it sits on top of the glide path rather than replacing it.
Greenblatt Inspired (Advanced)
The Advanced portfolio uses a flat 20% reserve regardless of horizon. If your horizon is shorter than ~10 years, use the glide path to increase your stability sleeve above 20%. If your horizon is longer, consider reducing it. A 30-year-old running the full Advanced portfolio probably wants less than 20% in cash; a 65-year-old probably wants more. The glide path is what tells you how much.
The Bottom Line
The glide path is portfolio-agnostic. Pick your category percentages from the table. Then pick your favorite tickers from the category boxes above.
Vanguard's research is the gold standard for time-horizon-based allocation. Whether you implement it with VTI/VXUS/BND, FNDB/FNDF/SGOV, or any combination, the underlying logic is the same: long horizons can absorb volatility; short horizons cannot. If you take nothing else from this page: years until you need the money is the single most important input to your asset allocation — more important than your specific fund picks, more important than your view on the market, and more important than which philosophy (Bogle / Greenblatt) you favor.
Living Off Your Portfolio
The transition from accumulation to distribution is the most dangerous phase of investing. Getting this wrong can mean running out of money.
The core tension: withdraw too much and you deplete your principal. Withdraw too little and you lived unnecessarily lean. The research is surprisingly clear on what works — and it runs counter to what feels intuitive. This tab covers the four methods of generating income, what the historical data says about safe withdrawal rates, and how to structure a portfolio that pays you without eating itself.
The Withdrawal Rate Question — What Does History Say?
Annual Withdrawal Rate vs. Portfolio Survival
30-year horizon · historical data 1926–2024
Withdrawal Rate
Historical Success
Real Purchasing Power
Verdict
6%+
~50–60%
Deteriorates rapidly
Depletes most portfolios within 20–25 years. Only safe in very short retirements or with guaranteed income supplements (pension, SS).
5%
~75–80%
Declines in bad decades
Risky over 30 years. Works in favorable markets (high returns, low inflation). Fails in scenarios like 1966–1982 (high inflation + stagnant markets).
4% (The Rule)
~95%
Roughly maintained
The Bengen "4% Rule" (1994) — studied every 30-year rolling period since 1926. A 60/40 portfolio survived 95% of periods at 4%. Most ended with more than the starting balance. The canonical baseline.
3.5%
~98%
Maintained + growing
Survives virtually all historical periods. Portfolio typically grows in real terms. The recommended floor for a 30–40 year retirement at current valuations.
3%
>99%
Grows in real terms
Near-certain survival over 40+ years. Portfolio compounds even while distributing. The target for early retirees (FIRE) and 40+ year horizons. Portfolio often doubles in real terms.
2% or less
100%
Grows substantially
Perpetual portfolio — principal grows faster than withdrawals in nearly every scenario. Appropriate for generational wealth transfer or extreme longevity planning.
The 4% Rule Caveat — Current Valuations Matter
The 4% rule was calibrated on historical average valuations. Starting a retirement at peak valuations reduces safe rates to ~3–3.5%.
The Shiller CAPE (cyclically adjusted P/E) is a strong predictor of forward 10-year returns. When the CAPE is above 30 (as it has been since ~2018), expected 10-year real returns drop to ~4–6% vs. the historical ~7%. This compresses your margin of safety. Starting a 30-year retirement today with a 4% withdrawal when CAPE is 35 is riskier than it was in 1994. The practical answer: use 3.5% as your baseline planning rate, keep the first 2–3 years of spending in cash (SGOV/VUSXX), and use the dynamic guardrails approach described below.
Inflation — The Silent Killer of Fixed Withdrawals
The Inflation Problem
Historic US inflation averages ~3% per year. At 3% inflation, purchasing power halves in 24 years. A $5,000/mo withdrawal in 2025 needs to become $9,040/mo by 2049 to buy the same goods. If your portfolio doesn't grow with inflation, you silently get poorer every year.
Key periods:
1966–1982: Inflation averaged 6.5%. Most portfolios failed.
2021–2023: 6–9% spike. Bonds cratered simultaneously.
2024–present: ~3.5% returning to norm.
Inflation-Adjusted Withdrawal Math
The 4% rule assumes you increase withdrawals by inflation each year. Start at $40k/yr on a $1M portfolio, add 3% each year: year 10 you withdraw $52k, year 20 you withdraw $70k, year 30 you withdraw $94k.
To keep pace with inflation, your portfolio must:
✦ Earn ≥ (withdrawal rate + inflation rate) in nominal terms
✦ On a 3.5% withdrawal + 3% inflation = portfolio needs ~6.5% nominal return
✦ Historical equity returns: ~10% nominal · ~7% real
✦ At 80% equity, expected nominal: ~8–9% → comfortable margin
Withdrawal Rate Calculator
Portfolio Value ($)
Annual Withdrawal Rate: 3.5%
1%4% rule8%
Annual Withdrawal
$35,000
Monthly Withdrawal
$2,917
In 20yrs (3% inflation)
$63,214
needed annually to keep pace
Sustainability Rating
✓ Sustainable
~98% historical success
To generate this income at 3.5% (recommended safe rate): need
Four Ways to Generate Income — Ranked by Portfolio Impact
What it is: The interest your 20% cash reserve (SGOV or VUSXX) earns at the current Fed rate. At 5%, a $200k reserve earns $10,000/yr without touching principal. Best for: Covering 1–2 months of living expenses passively. Automatic income with zero portfolio disruption. The problem: Rate follows the Fed. When rates drop to 2%, your $200k reserve earns only $4,000/yr — not enough to live on. Never plan your retirement around cash interest alone. In the context of this portfolio: At 20% reserve and current rates, cash interest covers roughly 0.8–1.1% of portfolio value per year. Use it as your first income layer — spend it before selling equity.
②
Dividends
Dividend Income — DGRW, FNDB, Individual Stocks
~1.5–2.5% blended yieldQualified tax rateGrows with earnings
What it is: Cash distributions paid by companies in your ETFs and individual stocks. DGRW yields ~1.8–2.1%, FNDB ~2%, individual sleeve ~1–1.5% blended. The key feature: dividend growth. DGRW's underlying companies grow dividends ~8–12%/yr — meaning your income grows faster than inflation without selling a share. Best for: The core steady income layer of a retirement portfolio. Qualified dividends are taxed at 0/15/20% — far lower than ordinary income rates. The problem: Pure dividend investing requires a very large portfolio or accepting a low withdrawal rate. At 2% blended yield, a $1M portfolio generates $20k/yr — only works with other income sources. High-yield trap: Do NOT chase yield. A 5% yielding ETF often has anemic growth, a shrinking business, or will cut its dividend. DGRW at 2% with 10% annual dividend growth beats a 5% fixed-yield fund within 8 years and you haven't sacrificed portfolio growth.
③
Selling
Targeted Selling — The Most Efficient Method
Tax-controlledFlexible amountServes as rebalancing
What it is: Selling a small percentage of your portfolio each year to generate income. At 3.5%, you sell 3.5% of the portfolio's current value — this automatically adjusts to portfolio performance (sell less in down years, more in up years). Why it's most efficient: You only pay capital gains on the gain portion, not the entire proceeds. If you paid $50k for shares now worth $100k, you only owe tax on $50k. Dividends force tax on the full distribution amount. What to sell first (the pecking order):
① Sell overweight positions first — this is free rebalancing
② Sell positions with losses first (harvest tax losses)
③ Sell in tax-deferred accounts when possible (no current tax)
④ In taxable accounts, always sell positions held 12+ months (long-term rate)
⑤ Never sell AVUV or growth assets in a downturn — they recover fastest Systematic selling rule: Once a year, sell the amount needed for next 12 months, park in SGOV/VUSXX, draw down monthly. Never sell during panic.
④
Buckets
The Bucket Strategy — Combining All Three
3-layer systemBehavioral anchorBear market proof
The bucket approach resolves the emotional problem of watching your portfolio fall while you're forced to sell. Three buckets:
Bucket 1 — Cash (1–2 years of expenses): SGOV/VUSXX. Never touch the equity portfolio until this is replenished. Earn interest, use it as monthly income. When markets fall, you live from this bucket — you never have to sell at the bottom.
Bucket 2 — Near-term growth (3–7 years of expenses): DGRW + QUAL + bond ladders if desired. Dividends and modest growth. Replenishes Bucket 1 annually in good years.
Bucket 3 — Long-term growth (everything else): AVUV, FNDB, AVDV, AVES, individual stocks. This is your compounding engine. It grows while Buckets 1 and 2 fund your life. You only touch this every 5–7 years, ideally during strong market periods.
Recommended Income Portfolio Structure
The Income-Optimized Version of This Portfolio
Same core holdings — different emphasis. Boost income layer without sacrificing compounding.
You do not need a completely different portfolio to live off your investments. The existing structure handles it well with two modifications: increase DGRW from 5% to 10–12% (larger dividend income layer), and keep Bucket 1 (2 years expenses) in SGOV/VUSXX regardless of the reserve deployment rules. The equity compounding engine (AVUV, FNDB, AVDV) stays unchanged. The stock sleeve continues to generate modest dividends. You live off: cash interest + dividends + annual targeted selling of ~1–1.5%. Total withdrawal covered without touching growth assets in most years.
Income Layer — What Each Holding Generates
On a $1M portfolio · approximate 2024 yields
Holding
Weight
~Yield
Annual Income
Notes
SGOV / VUSXX
Cash Reserve
20%
4.5–5.3%
$9,000–$10,600
State-tax-exempt. Use as first income layer. Rate follows Fed funds rate.
DGRW
Quality Dividend Growth
5%
~1.9%
~$950
Grows 8–12%/yr. In 10 years this same 5% generates nearly $2,000/yr at current growth rates.
FNDB
US Fundamental Core
20%
~2.0%
~$4,000
Fundamental weighting skews toward dividend payers. Steady yield.
FNDF / AVDV
International ETFs
23%
~2.5–3.5%
~$6,325
International value ETFs typically yield more than US. Foreign tax withheld — reclaim via FTC in taxable.
AVUV
US Small Cap Value
13%
~1.2%
~$1,560
Low yield — this is your compounding engine. Do not optimize for yield here.
QUAL + AVES
Quality + EM Value
12%
~1.5–2.0%
~$2,025
Modest income. AVES typically yields more than QUAL.
Stock Sleeve (10)
Individual positions
7%
~0.8–1.2%
~$700
V and MSFT are strongest dividend contributors in sleeve. ADBE and VEEV pay nothing.
Total Passive Income (cash + dividends)
~$24,560
~2.5% of $1M portfolio from cash + dividends alone. Add ~1% targeted selling = 3.5% total withdrawal.
Dynamic Guardrails — Adjusting in Bad Years
Green Zone
Portfolio Up
+10% or more
Take the full planned withdrawal and consider a one-time "splurge" up to 10% above baseline. Replenish Bucket 1 to full 2-year level. This is the time to sell for income — the portfolio can absorb it easily. Also consider Roth conversions while staying under the next tax bracket.
Yellow Zone
Portfolio Flat
±10%
Take the inflation-adjusted baseline withdrawal. No extras. Live on cash interest + dividends. Delay any targeted selling unless Bucket 1 drops below 1 year of expenses. No portfolio changes needed — this is the normal operating range.
Red Zone
Bear Market
−15% or worse
Cut discretionary spending 10–20%. Live on Bucket 1 cash only — do not sell equity. This is exactly what the reserve was built for. A bear market that lasts 18 months is survivable with 2 years of cash. When the market recovers, replenish Bucket 1 from equity sales before resuming full withdrawals. Never sell AVUV or growth ETFs during a bear — they recover fastest and the capital gains from recovery are your inflation protection.
Sequence of Returns Risk — The Most Dangerous Thing Nobody Talks About
Two identical 30-year average returns can produce completely opposite outcomes depending on when the bad years happen.
If your portfolio earns −30%, −15%, +12%/yr in years 1–3 while you're withdrawing, you may never recover — even if the average return over 30 years is 8%. Compare: a retiree who starts in 1999 (dot-com bust immediately) vs. 2009 (bull market immediately) — same 30-year average, completely different outcomes. The solution is the bucket strategy + the guardrails: never sell equity in a down year. The 20% cash reserve in this portfolio is your sequence-of-returns shield. It gives you 4–5 years of buffer before you ever need to touch growth assets during a crash.
Income Decision Hierarchy — What to Spend First
Every month, spend in this order:
1
Cash interest (SGOV/VUSXX) — spend this first. It's income that appears automatically without selling anything. At current rates, covers ~1% of portfolio per year.
2
Dividends — collect quarterly dividends from DGRW, FNDB, FNDF, individual stocks. Redirect to your checking account rather than reinvesting once you're in distribution mode. Covers ~1.5% of portfolio per year.
3
Annual targeted sale — once per year (not monthly), sell overweight positions to top up Bucket 1. Do this in January after reviewing the prior year. Sell in tax-deferred accounts first, then taxable. Never sell in Q4 unless absolutely necessary (wait for next year's tax bracket).
4
RMDs from tax-deferred accounts — once you hit age 73 (current law), Required Minimum Distributions force withdrawals from Traditional IRA/401k. Coordinate with #3 to avoid pushing yourself into a higher bracket. Consider Roth conversions in low-income years before 73 to reduce future RMDs.
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