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Siegel: all US stocks

Stocks for the Long Run: 100 percent US stocks (Jeremy Siegel)

Jeremy J. Siegel (Wharton School, University of Pennsylvania) · 1994 (book); earlier research article 1992

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+12.4 %
Last 12 months+15.1 %
Last 5 years, per year+12.7 %
Now below the peak−0.3 %
Place by 12 months5 / 60

Our calculation, 1926-07 – 2026-09

Per year10.4 %
Real (after inflation)7.2 %
Volatility18.3 %
Worst drop−83.7 %
Worst year−43.8 % (1931)
Best year56.8 %
Worst 12 months−65.7 %
Positive years76 %

Growth of $10,000

$4,147$35,740$308,016$2,654,584$22,878,060$197,170,5081930194019501960197019801990200020102020
Siegel: all US stocks: $196,488,890S&P 500: $196,488,890

Where it came from

Jeremy Siegel, a finance professor at the Wharton School, set out to answer a simple question with the longest data he could find: what have US stocks, bonds, bills and gold really returned after inflation since the founding of the modern financial system? His research article 'The Equity Premium: Stock and Bond Returns since 1802' appeared in the Financial Analysts Journal (the year is not verified here; I believe 1992). He pushed US stock and bond data back to 1802 by combining older sources, and found that, measured in real terms, stock returns had been surprisingly stable at about 6.5 to 7 percent a year across very different eras.

The book 'Stocks for the Long Run' came out on 15 January 1994 (first edition, Irwin Professional Publishing), at the start of the 1990s bull market. Further editions: 2nd on 1 March 1998 (McGraw-Hill), 3rd on 21 June 2002, 4th on 27 November 2007, 5th on 7 January 2014 and 6th in autumn 2022 (the Wikipedia page gives September 27 and October 4, 2022). The 6th edition grew from 19 to 28 chapters and about 424 pages and added material on monetary history, global investing, factor investing, ESG and behavioural finance (Prudent Management summary).

Core thesis. Over holding periods of about 20 years or more, US stocks had higher after-inflation returns than bonds, bills, gold or the dollar, and the volatility of the average annual return falls faster with the length of the holding period for stocks than for bonds, so that in Siegel's measure stocks were less risky than bonds over long horizons. The data cited in the 2002 edition (Wikipedia summary): worst one-year real return 1802-2001 was -38.6 percent for stocks and -21.9 percent for bonds, but the worst ten-year result was -4.1 percent for stocks against -5.4 percent for bonds, and stocks did not lose money over any twenty-year period. Siegel recommended a very high stock share for long-term investors and was sceptical of long-term bonds.

Real returns by period. In the sixth-edition data, 1802-2021: stocks about 6.9 percent a year, long-term government bonds 3.6, Treasury bills 2.5, gold 0.6 and the US dollar -1.4 percent; one dollar in stocks would have become about 2.3 million dollars after inflation and in long bonds about 2,000 dollars. Stocks by sub-period: 6.7 percent for 1802-1870, 6.6 percent for 1871-1925 and 7.1 percent for 1926-2021 (about 6.76 percent including the first half of 2022). The 5th edition data, 1802-2012: stocks 6.6, long bonds 3.6, bills 2.7 and gold 0.7 percent. Earlier editions used slightly different sub-period figures (for example 7.0 percent for 1802-1870 and 6.6 percent for 1871-1925 in the 2005 article; 6.8 percent for 1871-2001 in the 2002 edition).

Shifts in the periods, with real returns from the 2002 edition (Wikipedia): 1946-1965 stocks +10.0 percent, bonds -1.2; 1966-1981 stocks -0.4, bonds -4.2, gold +8.8; 1982-2001 stocks +10.5, bonds +8.5, gold -4.8 percent. In 2001 Siegel's own forward estimate was 4.5 to 5.5 percent real return for stocks, an equity risk premium of about 2 percent and a justified P/E of 20-25, i.e. lower than the historical average.

Later extensions. In 'The Future for Investors' (2005) he argued that dividend-paying and value stocks had beaten the market and that investors fall into a 'growth trap'; he suggested putting up to 40 percent of the stock portfolio abroad, weighted by market size (55 percent US/Canada, 28 Europe, 9 Japan, 3 other developed Asia, 5 emerging, Wharton, 23 Mar 2005) and about half of a portfolio into return-enhancing high-dividend groups and REITs. In 2022 he reported that the long-run real return was still 6.7 percent after updating the data to June 2022, and that the equity premium was 'remarkably durable' while real TIPS yields had fallen (Knowledge at Wharton, 2022).

What is in it

US stocks (broad market)100%The book's core recommendation is a stock-heavy portfolio for long horizons; Siegel does not publish one fixed allocation in the sources read

Source of the shares: Stocks for the Long Run (Siegel), summarised in Wikipedia and Prudent Management; the 100 percent stock case is our reading of the central thesis — en.wikipedia.org. Siegel's central claim is that long-run holders should favour stocks over bonds; the all-stock portfolio is the benchmark behind the data (US total return since 1802). No exact sentence with a fixed percentage was verified. The 2005 follow-up book allows up to 40 percent foreign stocks (Knowledge at Wharton).

How we model it

US large companies (S&P 500)100%

All in the S&P 500 total return series (us_large), as agreed. Siegel's own data before 1926 use a broad US stock index, not the S&P 500, and the book's later recommendations add dividend tilts and up to 40 percent foreign stocks; these are not in the mapping.

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 euros10.2 %
After euro inflation7.3 %
Worst drop in euros−58.8 %
Worst year in euros−35.6 % (1974)
Safe withdrawal, 30 years, dollars2.89 % (1929-09)
Safe withdrawal, 30 years, euros2.62 % (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)
US large companies (S&P 500)100%iShares Core S&P 500 UCITS ETF USD (Acc) IE00B5BMR087
Vanguard S&P 500 UCITS ETF (USD) Distributing IE00B3XXRP09

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

The long-term expected real return of stocks is high and rather stable, the return is only weakly affected by inflation in the long run and the risk of losing money falls quickly with the holding period, while bonds lose purchasing power; therefore someone who can hold for decades should hold stocks.

How people buy it

A low-cost broad US stock index fund (S&P 500 or total market, for example VOO, VTI, VFIAX). Siegel's later books and WisdomTree work also use dividend-weighted index funds (he was named senior investment strategy advisor of WisdomTree, as stated by ETF.com in 2015; status in 2026 not checked) and global index funds for the foreign part.

Rebalancing as published

Not applicable for a single-asset portfolio; Siegel's message is to hold stocks through crashes (a general reading, not a verified quotation). In the 2005 book he advises a global weighting by market value for the foreign sleeve.

Variants

Criticism

Through the eras

EraDatesTotalPer yearWorst dropS&P 500
Roaring Twenties boom1926-07 – 1929-08+153.7 %+34.2 %−5.9 %+153.7 %
Wall Street crash and Great Contraction1929-09 – 1932-07−78.2 %−40.6 %−83.7 %−78.2 %
New Deal recovery1932-08 – 1937-02+268.7 %+32.9 %−28.9 %+268.7 %
Recession within the Depression1937-03 – 1938-03−49.5 %−46.7 %−49.5 %−49.5 %
Rearmament and World War II1938-04 – 1945-09+205.8 %+16.1 %−28.1 %+205.8 %
Postwar expansion1945-10 – 1965-12+1212.9 %+13.6 %−24.3 %+1212.9 %
Golden age of the 1950s1950-01 – 1959-12+438.8 %+18.3 %−14.9 %+438.8 %
Go-go years and nifty-fifty1966-01 – 1968-12+34.0 %+10.2 %−15.5 %+34.0 %
The Great Inflation (stagflation)1969-01 – 1982-07+84.6 %+4.6 %−46.5 %+84.6 %
1973-74 oil shock and bear market1973-01 – 1974-12−41.7 %−23.7 %−46.5 %−41.7 %
Second oil shock and the Volcker disinflation1979-01 – 1982-08+59.2 %+13.5 %−16.3 %+59.2 %
Great bull market in stocks and bonds1982-08 – 1999-12+2060.4 %+19.3 %−29.9 %+2060.4 %
Black Monday1987-08 – 1987-12−21.8 %—−29.9 %−21.8 %
Savings-and-loan crisis and 1990 recession1990-07 – 1991-03+7.4 %—−16.5 %+7.4 %
1994 bond market massacre1994-02 – 1994-12−3.2 %—−7.6 %−3.2 %
Asian and Russian financial crises1997-07 – 1998-10+22.4 %+16.4 %−17.3 %+22.4 %
Dot-com bubble and crash2000-03 – 2002-10−37.2 %−16.0 %−45.0 %−37.2 %
Recovery and housing boom2002-11 – 2007-09+97.0 %+14.8 %−9.6 %+97.0 %
Global financial crisis2007-10 – 2009-03−44.7 %−32.6 %−50.3 %−44.7 %
The decade after the crisis2009-04 – 2019-12+411.2 %+16.4 %−17.7 %+411.2 %
Fourth-quarter 2018 sell-off2018-09 – 2018-12−14.4 %—−14.5 %−14.4 %
Covid crash and stimulus boom2020-02 – 2021-12+53.6 %+25.1 %−20.2 %+53.6 %
Inflation shock and rate hikes2022-01 – 2022-12−19.9 %−19.9 %−24.8 %−19.9 %

Calendar years

-44%57%1927: +32.6%1928: +39.1%1929: -14.8%1930: -28.7%19301931: -43.8%1932: -8.7%1933: +56.8%1934: +3.3%1935: +45.0%1936: +32.1%1937: -34.7%1938: +28.2%1939: +2.5%1940: -7.2%19401941: -10.5%1942: +16.5%1943: +28.3%1944: +21.3%1945: +38.7%1946: -6.4%1947: +3.4%1948: +1.9%1949: +20.2%1950: +30.1%19501951: +20.7%1952: +13.5%1953: +0.7%1954: +50.3%1955: +25.4%1956: +8.3%1957: -10.0%1958: +45.0%1959: +12.8%1960: +1.2%19601961: +26.9%1962: -10.2%1963: +21.0%1964: +16.1%1965: +14.4%1966: -8.8%1967: +28.7%1968: +14.1%1969: -10.9%1970: +0.1%19701971: +16.2%1972: +16.9%1973: -19.3%1974: -27.8%1975: +38.3%1976: +27.0%1977: -3.1%1978: +8.2%1979: +23.5%1980: +33.2%19801981: -3.3%1982: +21.5%1983: +22.6%1984: +3.9%1985: +32.6%1986: +16.4%1987: +1.6%1988: +18.0%1989: +28.9%1990: -6.0%19901991: +34.8%1992: +9.8%1993: +11.2%1994: -0.1%1995: +36.9%1996: +21.2%1997: +31.2%1998: +24.3%1999: +25.2%2000: -11.6%20002001: -11.2%2002: -21.1%2003: +31.7%2004: +11.9%2005: +6.1%2006: +15.4%2007: +5.7%2008: -36.7%2009: +28.6%2010: +17.4%20102011: +0.5%2012: +16.4%2013: +35.1%2014: +11.7%2015: +0.2%2016: +13.6%2017: +22.3%2018: -5.0%2019: +30.6%2020: +24.1%20202021: +23.9%2022: -19.9%2023: +26.7%2024: +25.0%2025: +17.5%

Any N-year period

Any N-year periodWorst10 % worse thanMedian10 % better thanBest
1 y (1192)−65.7 %−12.9 %+13.9 %+35.4 %+156.4 %
3 y (1168)−42.9 %−4.5 %+11.8 %+23.1 %+44.2 %
5 y (1144)−19.4 %−0.5 %+11.6 %+19.3 %+35.0 %
10 y (1084)−5.4 %+3.5 %+11.2 %+16.6 %+20.5 %
15 y (1024)−0.4 %+5.6 %+10.8 %+15.9 %+18.9 %
20 y (964)+1.8 %+7.0 %+10.8 %+14.7 %+18.1 %
30 y (844)+7.5 %+9.7 %+10.8 %+12.9 %+14.5 %

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.