Bernstein No-Brainer
Bernstein 'No-Brainer' portfolio
Where it stands today
Our calculation, 1926-07 – 2026-09
Growth of $10,000
Where it came from
William Bernstein, born 1948, is a neurologist (MD) with a PhD in chemistry who turned to portfolio theory and became an author of investment books. He ran the Efficient Frontier website (efficientfrontier.com) in the 1990s, and wrote 'The Intelligent Asset Allocator' (2000) and 'The Four Pillars of Investing' (2002; second edition 2023). Wikipedia notes that he introduced a lazy 'Coward's Portfolio' in 1996.
The 'No-Brainer' portfolio (also called the Simpleton's portfolio) appears in 'The Intelligent Asset Allocator' as an introductory example of the book's argument. It has four equal parts: a US large-cap blend (S&P 500) fund, a US small-cap fund, an international (ex-US) stock fund, and a short-term bond fund. According to Portfolio Charts it diversifies across asset class, region and size factor using only four holdings. Bernstein's wider message is that asset allocation matters more than security selection and market timing, and that small-cap and value stocks have historically earned premiums over the market.
The version in popular lazy-portfolio write-ups differs in two details. Portfolio Charts lists the bond sleeve as short-term US Treasuries and the international sleeve as developed ex-US stocks (one line even says small-cap). Lazy-portfolio sites (MyPlanIQ, Wealth Management) use a US total bond fund and a total international fund. The book's exact fund wording was not checked.
The No-Brainer later became the base for Bernstein's more elaborate suggestions, including 'Four Pillars Medium' (adds value tilts and real estate) as represented by Portfolio Charts. Bernstein himself stressed that the four-fund version is a starting point: it contains no emerging markets and no REITs. He argued that foreign developed stocks already capture most of the diversification benefit (as quoted on a Mutual Fund Observer thread).
Reception has been mixed. Portfolio Charts shows solid long-run real returns but a deep drawdown for the all-stock-heavy mix (75% stocks), and a 2018 Wealth Management comparison concluded that the No-Brainer underperformed on a risk-adjusted basis compared with other lazy portfolios.
What is in it
| US large-cap stocks (S&P 500) | 25% | |
| US small-cap stocks | 25% | |
| International (ex-US developed) stocks | 25% | Portfolio Charts says small-cap developed ex-US in its model; other sources say broad international |
| Short-term bonds | 25% | Portfolio Charts: short-term Treasuries; other sources: US total bond market |
How we model it
| US large companies (S&P 500) | 25% |
| US small companies | 25% |
| Developed markets outside the US | 25% |
| Short-term government bonds | 25% |
For a euro investor
How to build it with European funds
| Part | Share | Example funds (ISIN) |
|---|---|---|
| US large companies (S&P 500) | 25% | iShares Core S&P 500 UCITS ETF USD (Acc) IE00B5BMR087Vanguard S&P 500 UCITS ETF (USD) Distributing IE00B3XXRP09 |
| US small companies | 25% | SPDR Russell 2000 U.S. Small Cap UCITS ETF IE00BJ38QD84iShares MSCI USA Small Cap ESG Enhanced CTB UCITS ETF USD (Acc) IE00B3VWM098 |
| Developed markets outside the US (closest match) | 25% | iShares Core MSCI Europe UCITS ETF EUR (Acc) IE00B4K48X80iShares Core MSCI Japan IMI UCITS ETF IE00B4L5YX21 |
| Short-term government bonds | 25% | iShares USD Treasury Bond 1-3yr UCITS ETF (Dist) IE00B14X4S71iShares Euro Government Bond 1-3yr UCITS ETF (Dist) IE00B14X4Q57 |
The idea
Equal parts of four distinct sources of risk and return: large US stocks, small US stocks (a size premium), non-US stocks (country diversification) and short-term bonds (stability). Bernstein's reasoning is that a few uncorrelated building blocks are enough, and that 75% equities with 25% short bonds gives a high-equity portfolio with some buffer.
How people buy it
Examples from third-party sites: Vanguard 500 Index (VFINX) or VOO for large cap, Vanguard Small-Cap (NAESX) or VB for small cap, Vanguard Total International (VGTSX) or VEU/VEA for international, and a Vanguard bond fund (VBMFX/BND or short-term VBISX) for bonds.
Rebalancing as published
Annual rebalancing is used in the Wealth Management simulation; Bernstein's own rebalancing guidance for this exact portfolio was not retrieved.
Variants
- Four Pillars Medium (Portfolio Charts): expands the No-Brainer with value tilts and real estate.
- Coward's Portfolio (Bernstein, 1996): a naive allocation with more short-term bonds and a smaller international share.
- Version with total bond market instead of short Treasuries (MyPlanIQ, Wealth Management).
- Benzinga / ITA Wealth proposal to improve the No-Brainer by adding more asset classes (REITs, emerging markets, value).
Criticism
- Wealth Management (2018 simulation, September 2005 - July 2018): deepest and longest maximum drawdown among compared portfolios and significant underperformance on a risk-adjusted basis versus a 60/40 benchmark.
- No emerging markets, REITs, TIPS or commodities, so inflation protection is limited.
- Short-term bonds as the only defensive asset make it a high-equity portfolio (75%) with limited deflation protection beyond cash-like bonds.
- Bond details differ between sources, so the model is not uniquely defined.
Through the eras
| Era | Dates | Total | Per year | Worst drop | S&P 500 |
|---|---|---|---|---|---|
| Roaring Twenties boom | 1926-07 – 1929-08 | +94.2 % | +23.3 % | −5.6 % | +153.7 % |
| Wall Street crash and Great Contraction | 1929-09 – 1932-07 | −66.1 % | −31.0 % | −72.8 % | −78.2 % |
| New Deal recovery | 1932-08 – 1937-02 | +245.8 % | +31.1 % | −28.1 % | +268.7 % |
| Recession within the Depression | 1937-03 – 1938-03 | −43.2 % | −40.7 % | −43.2 % | −49.5 % |
| Rearmament and World War II | 1938-04 – 1945-09 | +187.7 % | +15.1 % | −20.5 % | +205.8 % |
| Postwar expansion | 1945-10 – 1965-12 | +733.5 % | +11.0 % | −22.0 % | +1212.9 % |
| Golden age of the 1950s | 1950-01 – 1959-12 | +293.0 % | +14.7 % | −12.1 % | +438.8 % |
| Go-go years and nifty-fifty | 1966-01 – 1968-12 | +51.2 % | +14.8 % | −12.9 % | +34.0 % |
| The Great Inflation (stagflation) | 1969-01 – 1982-07 | +140.6 % | +6.7 % | −35.3 % | +84.6 % |
| 1973-74 oil shock and bear market | 1973-01 – 1974-12 | −32.4 % | −17.8 % | −35.3 % | −41.7 % |
| Second oil shock and the Volcker disinflation | 1979-01 – 1982-08 | +68.7 % | +15.3 % | −11.7 % | +59.2 % |
| Great bull market in stocks and bonds | 1982-08 – 1999-12 | +977.6 % | +14.6 % | −24.3 % | +2060.4 % |
| Black Monday | 1987-08 – 1987-12 | −18.0 % | — | −24.3 % | −21.8 % |
| Savings-and-loan crisis and 1990 recession | 1990-07 – 1991-03 | +3.3 % | — | −14.4 % | +7.4 % |
| 1994 bond market massacre | 1994-02 – 1994-12 | −2.3 % | — | −4.1 % | −3.2 % |
| Asian and Russian financial crises | 1997-07 – 1998-10 | +7.9 % | +5.9 % | −14.2 % | +22.4 % |
| Dot-com bubble and crash | 2000-03 – 2002-10 | −21.6 % | −8.7 % | −24.6 % | −37.2 % |
| Recovery and housing boom | 2002-11 – 2007-09 | +105.1 % | +15.7 % | −6.1 % | +97.0 % |
| Global financial crisis | 2007-10 – 2009-03 | −35.0 % | −24.9 % | −40.1 % | −44.7 % |
| The decade after the crisis | 2009-04 – 2019-12 | +207.6 % | +11.0 % | −16.6 % | +411.2 % |
| Fourth-quarter 2018 sell-off | 2018-09 – 2018-12 | −12.6 % | — | −12.6 % | −14.4 % |
| Covid crash and stimulus boom | 2020-02 – 2021-12 | +34.0 % | +16.5 % | −16.9 % | +53.6 % |
| Inflation shock and rate hikes | 2022-01 – 2022-12 | −14.0 % | −14.0 % | −19.5 % | −19.9 % |
Calendar years
Any N-year period
| Any N-year period | Worst | 10 % worse than | Median | 10 % better than | Best |
|---|---|---|---|---|---|
| 1 y (1192) | −52.8 % | −9.0 % | +11.5 % | +29.6 % | +141.8 % |
| 3 y (1168) | −33.5 % | −1.4 % | +10.5 % | +18.5 % | +42.7 % |
| 5 y (1144) | −14.6 % | +1.8 % | +9.8 % | +16.6 % | +31.8 % |
| 10 y (1084) | −1.5 % | +5.4 % | +9.6 % | +14.4 % | +18.3 % |
| 15 y (1024) | +2.1 % | +6.3 % | +9.6 % | +13.5 % | +17.4 % |
| 20 y (964) | +3.8 % | +7.1 % | +10.2 % | +13.1 % | +15.0 % |
| 30 y (844) | +7.4 % | +8.1 % | +10.5 % | +11.9 % | +13.2 % |
How it behaved in history
- 1970-2025 (US investor). Deepest real drawdown 41% and longest underwater period 10 years in Portfolio Charts' data; the worst periods for the mix generally coincide with equity bear markets (stocks are 75%). portfoliocharts.com
- 2005-2018 incl. 2008. Deepest and longest drawdown among the portfolios compared by Wealth Management. www.wealthmanagement.com
- Other countries (1970-2025). For home investors in Switzerland the deepest real drawdown was 58% and in Japan the longest underwater period was 23 years (Portfolio Charts country table). portfoliocharts.com
Published results (by others)
- Portfolio Charts historical statistics for a US investor (1970-2025): average real return 6.9%, deepest real drawdown 41%, longest drawdown 10 years, volatility 13.3%, 30-year safe withdrawal rate 5.1% portfoliocharts.com
- In a simulation with annual rebalancing, nominal growth was close to a 60/40 benchmark but drawdown was the deepest and longest of the compared lazy portfolios (Sept 2005 - July 2018): numbers only in charts; text states benchmark-like growth and deepest drawdown www.wealthmanagement.com
What we could not verify
- Original fund definitions (bond maturity, whether international includes small caps) were not verified from the book.
- Bernstein's rebalancing advice for this portfolio was not found.
- Exact publication year of the first appearance (the 2000 book is assumed); 'Four Pillars' (2002) also discusses it per secondary sources.
- Bogleheads wiki returned 403; Portfolio Charts and MyPlanIQ pages were used instead (MyPlanIQ fetch also returned 403 for the main page).
Sources
- portfoliocharts.com
https://portfoliocharts.com/portfolios/no-brainer-portfolio/ - www.wealthmanagement.com
https://www.wealthmanagement.com/equities/bernstein-swensen-browne-or-swedroe - en.wikipedia.org
https://en.wikipedia.org/wiki/William_J._Bernstein - mutualfundobserver.com
https://mutualfundobserver.com/discuss/showthread.php?tid=7377 - benzinga.com
https://benzinga.com/node/1027195 - www.myplaniq.com
https://www.myplaniq.com/invest/?p=648762
Calculated on historical data. Past results do not predict the future. Models before the 1990s use stand-ins for classes that had no index yet; fees, taxes and fund costs are not included. This is mathematics, not an investment recommendation.