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Coward's Portfolio

Coward's Portfolio

William J. Bernstein · 1996

Live account on this site. This portfolio is also tracked here with a virtual $100,000 since 21.10.2026. Live account on this site →

Where it stands today

Data through 2026-09. Updated every month.

Since January+9.1 %
Last 12 months+12.2 %
Last 5 years, per year+7.7 %
Now below the peak−2.2 %
Place by 12 months21 / 60

Our calculation, 1926-07 – 2026-09

Per year9.1 %
Real (after inflation)5.9 %
Volatility12.7 %
Worst drop−64.3 %
Worst year−28.7 % (1931)
Best year54.6 %
Worst 12 months−45.3 %
Positive years75 %

25 % of this history is calculated with stand-ins for asset classes that did not exist yet (see “How we model it” and the page about data). Without stand-ins the history starts in 1990.

Growth of $10,000

$4,147$35,740$308,016$2,654,584$22,878,060$197,170,5081930194019501960197019801990200020102020
Coward's Portfolio: $59,626,150S&P 500: $196,488,890

Where it came from

William J. Bernstein (born 1948) is an American neurologist with a PhD in chemistry who became a widely read author on asset allocation: The Intelligent Asset Allocator (2000), The Four Pillars of Investing (2002) and later books. He ran the Efficient Frontier website and newsletter. The Coward's Portfolio comes from his 1996 article 'The Coward's Portfolio - A Modest Proposal' in Efficient Frontier (efficientfrontier.com/ef/996/cowards.htm).

The article proposes a fixed, diversified equity index, the Coward's Equity Index (CEI), as a benchmark for active global managers. Bernstein's reasoning was that optimisation on past returns cannot reliably tell you the best future mix, so a rational but unsure investor should spread across US, foreign and small-cap segments, which hedges against any one of them lagging. He also argued that foreign stocks can reduce risk and, through rebalancing, add return, and that simple index mixes would beat most active global managers. The 'coward' is not a reference to low risk tolerance but to hedging one's bets.

In the 1996 article the CEI is 20% S&P 500, 20% US small stocks, 15% EAFE Europe, 5% EAFE Pacific ex-Japan, 5% MSCI Japan, 10% Continental European small, 5% UK small, 5% Japan small, 5% Pacific ex-Japan small and 10% Latin America. A 'small investor' version with Vanguard and other funds is also given. Either equity index could be blended with a short-term corporate bond fund. The article reports, for periods ending June 1996, annualised CEI returns of 16.54% (3 years), 16.07% (5 years) and 14.18% (8 years), versus 17.63%, 15.89% and 15.31% for the S&P 500, with lower standard deviations.

A second use of the name comes from Scott Burns's article of 3 December 2000, which reports Bernstein's finding that an equal mix of six asset classes returned 15.79% a year from 1975, against 8.4% for the mix chosen by a mean-variance optimiser; the six classes are not named in the text I could read. The widely circulated 'lazy portfolio' form came later and is the version on the Bogleheads wiki: 15% total stock market, 10% large value, 5% small blend, 10% small value, 5% each Europe, Pacific and emerging markets, 5% REIT and 40% short-term bonds. It was also summarised as 'similar to the Coffeehouse portfolio, but with short-term bonds and the international slice split into Europe, Pacific and emerging markets'.

The nearby four-equal-parts model is Bernstein's 'No-Brainer' (US large, US small, foreign, short-term bonds, 25% each), which is a separate portfolio on this site. Portfolio Charts introduced the Coward's portfolio as the step up in complexity from the No-Brainer in June 2016.

What is in it

Total Stock Market (large blend)15%VV in the ETF rendition
Large Value10%
Small Blend5%
Small Value10%
Europe5%VGK
Pacific5%VPL
Emerging Markets5%EEM
REIT5%VNQ
Short-term bonds40%1-3 year Treasuries (SHY) in the ETF rendition

Source of the shares: Bogleheads wiki, Lazy portfolios (Bernstein's Coward's portfolio) — www.bogleheads.org. The table gives these nine slices summing to 100%. LazyPortfolioETF shows the same weights with ETFs (VV 15, IJS 10, VTV 10, EEM 5, IJR 5, VGK 5, VPL 5, VNQ 5, SHY 40). The Bogleheads page was read from an Internet Archive copy. Bernstein's own 1996 article gives the equity-only index, not this 60/40 table.

How we model it

Short-term government bonds40%
US large companies (S&P 500)15%
US large value stocks10%
US small value stocks10%
Developed markets outside the US10%
US small companies5%
Emerging markets5%
Real estate (REITs)5%

Europe + Pacific = intl_dev (0.10). Short-term bond = bond_short. 'Total Stock Market' mapped to us_large (S&P 500).

For a euro investor

The same portfolio bought with euros, without currency hedging: monthly returns converted at the end-of-month rate (German mark before 1999), inflation of the euro area. History in euros from 1953-10 to 2026-09.

Per year in euros8.6 %
After euro inflation5.7 %
Worst drop in euros−42.9 %
Worst year in euros−23.4 % (1973)
Safe withdrawal, 30 years, dollars4.52 % (1929-09)
Safe withdrawal, 30 years, euros3.32 % (1968-12)

The largest first-year withdrawal, then growing with inflation, that lasted 30 years from every monthly start. Test withdrawals for this portfolio →

How to build it with European funds

Examples of UCITS funds sold in the EU for each part of the portfolio. They track similar markets, not exactly the indices of our calculation.

PartShareExample funds (ISIN)
Short-term government bonds40%iShares USD Treasury Bond 1-3yr UCITS ETF (Dist) IE00B14X4S71
iShares Euro Government Bond 1-3yr UCITS ETF (Dist) IE00B14X4Q57
US large companies (S&P 500)15%iShares Core S&P 500 UCITS ETF USD (Acc) IE00B5BMR087
Vanguard S&P 500 UCITS ETF (USD) Distributing IE00B3XXRP09
US large value stocks10%iShares Edge MSCI USA Value Factor UCITS ETF IE00BD1F4M44
US small value stocks10%SPDR MSCI USA Small Cap Value Weighted UCITS ETF IE00BSPLC413
Developed markets outside the US (closest match)10%iShares Core MSCI Europe UCITS ETF EUR (Acc) IE00B4K48X80
iShares Core MSCI Japan IMI UCITS ETF IE00B4L5YX21
US small companies5%SPDR Russell 2000 U.S. Small Cap UCITS ETF IE00BJ38QD84
iShares MSCI USA Small Cap ESG Enhanced CTB UCITS ETF USD (Acc) IE00B3VWM098
Emerging markets5%iShares Core MSCI Emerging Markets IMI UCITS ETF (Acc) IE00BKM4GZ66
Real estate (REITs)5%iShares US Property Yield UCITS ETF IE00B1FZSF77
iShares Developed Markets Property Yield UCITS ETF IE00B1FZS350

These are examples, not recommendations. Check the fund's key information document, costs and taxes with your broker before buying. Names and ISINs checked on justETF on 4 November 2026; Udak receives nothing from these funds.

The idea

Admit that nobody knows which market segment will lead; own many slices of the equity market (large, small, value, foreign, emerging, REIT) in fixed proportions and pair them with short-term high-quality bonds for stability.

How people buy it

ETF rendition: VV, VTV, IJR, IJS, VGK, VPL, EEM, VNQ and SHY. Mutual-fund renditions exist at Vanguard and DFA.

Rebalancing as published

Not stated in the sources read for the lazy form; Bernstein's article credits rebalancing among less-than-perfectly correlated markets with extra return.

Variants

Criticism

Through the eras

EraDatesTotalPer yearWorst dropS&P 500
Roaring Twenties boom1926-07 – 1929-08+77.9 %+19.9 %−4.4 %+153.7 %
Wall Street crash and Great Contraction1929-09 – 1932-07−55.5 %−24.3 %−64.3 %−78.2 %
New Deal recovery1932-08 – 1937-02+176.6 %+24.9 %−28.9 %+268.7 %
Recession within the Depression1937-03 – 1938-03−37.6 %−35.3 %−38.4 %−49.5 %
Rearmament and World War II1938-04 – 1945-09+152.5 %+13.1 %−18.2 %+205.8 %
Postwar expansion1945-10 – 1965-12+614.3 %+10.2 %−17.4 %+1212.9 %
Golden age of the 1950s1950-01 – 1959-12+244.5 %+13.2 %−10.8 %+438.8 %
Go-go years and nifty-fifty1966-01 – 1968-12+41.8 %+12.4 %−9.8 %+34.0 %
The Great Inflation (stagflation)1969-01 – 1982-07+181.9 %+7.9 %−22.5 %+84.6 %
1973-74 oil shock and bear market1973-01 – 1974-12−20.1 %−10.6 %−22.5 %−41.7 %
Second oil shock and the Volcker disinflation1979-01 – 1982-08+67.5 %+15.1 %−9.7 %+59.2 %
Great bull market in stocks and bonds1982-08 – 1999-12+890.0 %+14.1 %−18.1 %+2060.4 %
Black Monday1987-08 – 1987-12−13.3 %—−18.1 %−21.8 %
Savings-and-loan crisis and 1990 recession1990-07 – 1991-03+5.5 %—−10.1 %+7.4 %
1994 bond market massacre1994-02 – 1994-12−3.0 %—−4.0 %−3.2 %
Asian and Russian financial crises1997-07 – 1998-10+8.4 %+6.2 %−11.3 %+22.4 %
Dot-com bubble and crash2000-03 – 2002-10−1.9 %−0.7 %−12.4 %−37.2 %
Recovery and housing boom2002-11 – 2007-09+89.9 %+13.9 %−4.5 %+97.0 %
Global financial crisis2007-10 – 2009-03−29.1 %−20.5 %−33.9 %−44.7 %
The decade after the crisis2009-04 – 2019-12+161.2 %+9.3 %−13.4 %+411.2 %
Fourth-quarter 2018 sell-off2018-09 – 2018-12−9.1 %—−9.1 %−14.4 %
Covid crash and stimulus boom2020-02 – 2021-12+26.8 %+13.2 %−14.7 %+53.6 %
Inflation shock and rate hikes2022-01 – 2022-12−9.3 %−9.3 %−14.5 %−19.9 %

Calendar years

-29%55%1927: +21.1%1928: +24.3%1929: -8.7%1930: -20.6%19301931: -28.7%1932: -2.0%1933: +54.6%1934: +0.5%1935: +29.4%1936: +27.7%1937: -24.0%1938: +17.1%1939: -1.5%1940: -4.4%19401941: -4.6%1942: +15.2%1943: +28.1%1944: +19.6%1945: +29.5%1946: -4.2%1947: +3.0%1948: +1.0%1949: +12.5%1950: +25.1%19501951: +10.8%1952: +8.9%1953: -0.8%1954: +36.3%1955: +16.1%1956: +5.0%1957: -7.5%1958: +35.6%1959: +10.6%1960: -0.6%19601961: +18.0%1962: -3.7%1963: +15.8%1964: +12.3%1965: +14.6%1966: -3.2%1967: +25.6%1968: +16.8%1969: -8.2%1970: +7.0%19701971: +12.2%1972: +9.5%1973: -9.3%1974: -11.9%1975: +30.2%1976: +27.1%1977: +4.9%1978: +7.9%1979: +20.4%1980: +20.5%19801981: +8.0%1982: +24.6%1983: +21.0%1984: +9.9%1985: +24.2%1986: +14.1%1987: +1.1%1988: +15.2%1989: +20.2%1990: -4.1%19901991: +23.6%1992: +10.1%1993: +17.5%1994: -0.4%1995: +20.8%1996: +13.6%1997: +16.5%1998: +7.7%1999: +14.2%2000: +5.5%20002001: +3.0%2002: -7.0%2003: +26.2%2004: +11.9%2005: +8.2%2006: +15.2%2007: +4.9%2008: -20.5%2009: +19.8%2010: +11.8%20102011: -3.4%2012: +12.1%2013: +18.2%2014: +4.3%2015: -2.5%2016: +10.9%2017: +11.8%2018: -5.7%2019: +16.0%2020: +7.8%20202021: +15.7%2022: -9.3%2023: +12.3%2024: +10.0%2025: +14.5%

Any N-year period

Any N-year periodWorst10 % worse thanMedian10 % better thanBest
1 y (1192)−45.3 %−5.5 %+10.7 %+25.2 %+122.2 %
3 y (1168)−27.2 %+0.5 %+9.7 %+17.0 %+33.9 %
5 y (1144)−11.5 %+3.0 %+9.2 %+15.3 %+26.5 %
10 y (1084)−0.8 %+5.6 %+9.4 %+13.9 %+17.1 %
15 y (1024)+2.2 %+6.2 %+9.6 %+13.5 %+16.5 %
20 y (964)+4.0 %+6.7 %+9.9 %+12.8 %+14.7 %
30 y (844)+7.0 %+7.8 %+10.3 %+11.7 %+13.2 %

How it behaved in history

Published results (by others)

What we could not verify

Sources

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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.