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Global market portfolio

Global Multi-Asset Market Portfolio (Doeswijk, Lam, Swinkels)

Ronald Q. Doeswijk, Trevin Lam and Laurens Swinkels (Robeco / Erasmus University Rotterdam); later monthly version by Ronald Doeswijk and Laurens Swinkels. Note: the first name is Ronald, not Benjamin. · 2013 (SSRN working paper) and 2014 (Financial Analysts Journal 70(2), pp. 26-41); data update to end-2023 released 2025; monthly 1970-2022 version 2024

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+5.0 %
Last 12 months+7.1 %
Last 5 years, per year+4.8 %
Now below the peak−2.7 %
Place by 12 months46 / 60

Our calculation, 1926-07 – 2026-09

Per year8.5 %
Real (after inflation)5.3 %
Volatility11.0 %
Worst drop−58.3 %
Worst year−24.4 % (1931)
Best year41.7 %
Worst 12 months−39.7 %
Positive years77 %

27 % 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 2000.

Growth of $10,000

$4,147$35,740$308,016$2,654,584$22,878,060$197,170,5081930194019501960197019801990200020102020
Global market portfolio: $35,004,707S&P 500: $196,488,890

Where it came from

The idea of a 'market portfolio' is the theoretical benchmark of modern finance: if everyone holds the same risky portfolio, it must be all risky assets in proportion to their market value. In practice most studies use a stock index such as the S&P 500 as a stand-in, which Doeswijk and Swinkels point out is a markedly smaller object (32 trillion dollars) than the 150 trillion dollars of assets held by financial investors worldwide. The most cited earlier attempt to measure the entire world portfolio of investable assets is the 'world wealth portfolio' of Ibbotson and Siegel (1983, updated 1985), which covered 1960-1980 (as recounted in the 2024 Doeswijk-Swinkels paper).

In 2013-2014 Ronald Doeswijk, Trevin Lam and Laurens Swinkels (the Robeco data page lists Swinkels as Head of Solutions Research at Robeco, the Rotterdam asset manager, and he is also at Erasmus School of Economics; the employers of the other two in 2014 were not checked) published 'The Global Multi-Asset Market Portfolio 1959-2012'. It first appeared on SSRN in 2013 and was published in the Financial Analysts Journal in 2014 (volume 70, issue 2); a 2014 Graham and Dodd Readers' Choice Award is mentioned by Robeco. They estimated the market capitalisation of eight asset classes held by financial investors: equities, private equity, real estate, high-yield bonds, emerging-market debt, investment-grade credit, government bonds and inflation-linked bonds. The full eight classes are available from 1990 to 2012, and four main categories (equities, real estate, non-government bonds, government bonds) from 1959. Their headline result: the global invested portfolio was worth about 90.6 trillion dollars at end-2012; equities' share fell from about 52 percent in 1990 to about 36 percent in 2012, while government bonds were about 30 percent, investment-grade credit rose from about 11 to 18 percent, and the five smallest classes together rose from about 6 to 16 percent.

The authors argue that the market portfolio is a 'natural benchmark' for strategic asset allocation and a sensible starting point for approaches like Black-Litterman or adaptive allocation, because an investor's own deviations from it become explicit active bets. A letter to the editor by Westerling (2014) on central bank asset holdings and the authors' reply were also published in the Financial Analysts Journal.

In 2019-2020 Doeswijk, Lam and Swinkels extended the data to 1960-2017 and studied the returns in 'Historical Returns of the Market Portfolio' (Review of Asset Pricing Studies 10(3), 2020, pp. 521-567). They found a compounded real US-dollar return of 4.45 percent a year with a standard deviation of 11.2 percent over 1960-2017 (Robeco data page, January 2020). The dataset 'Data update: The Global Multi-Asset Market Portfolio, 1959-2012' is refreshed on a data repository of Erasmus University Rotterdam and, in its latest version (posted on DataverseNL in August 2025), contains annual data until 31 December 2023.

In 2024 Doeswijk (now independent) and Swinkels published 'The Risk and Reward of Investing', a version at monthly frequency from 1970 to 2022 and worth 150 trillion dollars, with five asset categories (equities broad incl. private equity; real estate; non-government bonds; government bonds broad incl. emerging-market and inflation-linked bonds; commodities broad, mostly gold and also cryptocurrencies). The authors found that over 1970-2022 the global market portfolio had a geometric average excess return of 0.30 percent a month and monthly volatility of 2.90 percent, a Sharpe ratio not much higher than that of equities (0.408 against 0.394), but much more stable over rolling ten-year windows and with shallower and shorter drawdowns. Robeco is also cited as the source of a free spreadsheet of annual weights and returns.

What is in it

Equities (listed, excluding listed REITs)43%End-2023, computed from the published USD amounts in Table A1 of the dataset (74.07 of 172.4 trillion dollars). End-2012: 36.3 percent.
Private equity7.8%End-2023 (13.42 trillion dollars; Preqin 'private capital'). End-2012: 3.6 percent.
Real estate4%End-2023 (6.98 trillion dollars). End-2012: 5.1 percent. Includes listed and an estimated part of unlisted investable real estate; directly held property is excluded.
High-yield bonds1.1%End-2023 (1.85 trillion dollars). End-2012: 1.7 percent.
Emerging-market debt3.9%End-2023 (6.68 trillion dollars). End-2012: 3.0 percent.
Investment-grade credit14.7%End-2023 (25.43 trillion dollars; derived as Multiverse index minus government and high yield). End-2012: 18.5 percent.
Government bonds23.9%End-2023 (41.15 trillion dollars). End-2012: 29.5 percent.
Inflation-linked bonds1.6%End-2023 (2.82 trillion dollars). End-2012: 2.3 percent.

Source of the shares: Doeswijk, Lam, Swinkels: Data update: The Global Multi-Asset Market Portfolio, 1959-2012 (Table A1, update until end of 2023), Erasmus University Rotterdam / DataverseNL — dataverse.nl. The spreadsheet gives market values in billions of US dollars for 2012-2023 by asset class and the total (172.4 trillion dollars at end-2023). The percentages above are our division of these published amounts by the published total; the table itself lists dollar amounts, not percentages. Original paper: Financial Analysts Journal 70(2), 2014, https://doi.org/10.2469/faj.v70.n2.1

How we model it

US large companies (S&P 500)26%
Intermediate government bonds (10 y)23.9%
Corporate bonds15.8%
Developed markets outside the US12%
US small companies7.8%
Emerging markets5%
Real estate (REITs)4%
US bond market (aggregate)3.9%
Inflation-protected bonds (TIPS)1.6%

APPROXIMATION of the end-2023 table. Listed equities (43.0 percent) are split roughly 60/28/12 into us_large / intl_dev / em as a proxy for a global cap-weighted index (our assumption, not a published split; the data uses MSCI ACWI IMI). Private equity (7.8 percent) is replaced by us_small, an imperfect public proxy. Real estate (4.0) by reit. High yield (1.1) and investment-grade credit (14.7) both go to bond_corp (15.8). Government bonds (23.9) go to bond_mid; emerging-market debt (3.9) to bond_agg; inflation-linked bonds (1.6) to tips. The 2014-2023 data set has NO gold, commodities or cash; the 2024 monthly version adds a 'commodities broad' category (mostly gold) with an average weight of 2.4 percent over 1970-2022, but no end-2022 or end-2023 weight for it was extracted, so gold and commodities are left at zero here. The index mixes global, multi-currency assets; our US-dollar classes cannot reproduce non-US government and credit markets. The weights are time-varying: using the end-2012 shares instead would give about 36 percent listed equities and 30 percent government bonds.

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 euros7.9 %
After euro inflation5.0 %
Worst drop in euros−44.2 %
Worst year in euros−24.1 % (1973)
Safe withdrawal, 30 years, dollars3.92 % (1968-12)
Safe withdrawal, 30 years, euros2.88 % (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)26%iShares Core S&P 500 UCITS ETF USD (Acc) IE00B5BMR087
Vanguard S&P 500 UCITS ETF (USD) Distributing IE00B3XXRP09
Intermediate government bonds (10 y)23.9%iShares USD Treasury Bond 7-10yr UCITS ETF (Dist) IE00B1FZS798
Corporate bonds15.8%iShares USD Corporate Bond UCITS ETF (Dist) IE0032895942
Developed markets outside the US (closest match)12%iShares Core MSCI Europe UCITS ETF EUR (Acc) IE00B4K48X80
iShares Core MSCI Japan IMI UCITS ETF IE00B4L5YX21
US small companies7.8%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)4%iShares US Property Yield UCITS ETF IE00B1FZSF77
iShares Developed Markets Property Yield UCITS ETF IE00B1FZS350
US bond market (aggregate) (closest match)3.9%iShares Core Global Aggregate Bond UCITS ETF EUR Hedged (Acc) IE00BDBRDM35
iShares Core Global Aggregate Bond UCITS ETF USD (Dist) IE00B3F81409
Inflation-protected bonds (TIPS)1.6%iShares USD TIPS UCITS ETF USD (Acc) IE00B1FZSC47

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

If markets are in equilibrium, the market portfolio is the one that all investors in aggregate must hold; its weights are set by the sum of all investors' decisions rather than by any manager's forecasts. It therefore needs no return forecasts, has low turnover (weights move with prices) and shows what an investor with no special view would own. The authors present it as a natural benchmark for strategic asset allocation against which every deviation is an explicit bet, and as an anchor for approaches that adjust it with a view.

How people buy it

There is no single fund. A practical replica combines a global all-cap equity index fund, a global government and credit bond index fund (possibly currency hedged), inflation-linked bonds, global REITs, and optionally private-equity exposure through listed vehicles; weights should follow the latest published market value shares (updated about once a year in the authors' dataset). Exact replication is not possible: directly held property, human capital and family businesses are excluded from the invested market portfolio, and private equity is hard to hold.

Rebalancing as published

The authors do not give a rebalancing rule: the portfolio is defined by market capitalisation, so weights drift with prices without trading (a buy-and-hold property). The dataset is updated once a year using end-of-year market values; the 2024 version is monthly.

Variants

Criticism

Through the eras

EraDatesTotalPer yearWorst dropS&P 500
Roaring Twenties boom1926-07 – 1929-08+75.1 %+19.4 %−3.5 %+153.7 %
Wall Street crash and Great Contraction1929-09 – 1932-07−51.4 %−21.9 %−58.3 %−78.2 %
New Deal recovery1932-08 – 1937-02+154.1 %+22.6 %−18.8 %+268.7 %
Recession within the Depression1937-03 – 1938-03−29.9 %−28.0 %−30.1 %−49.5 %
Rearmament and World War II1938-04 – 1945-09+123.8 %+11.3 %−14.2 %+205.8 %
Postwar expansion1945-10 – 1965-12+474.1 %+9.0 %−14.8 %+1212.9 %
Golden age of the 1950s1950-01 – 1959-12+188.9 %+11.2 %−8.6 %+438.8 %
Go-go years and nifty-fifty1966-01 – 1968-12+28.3 %+8.7 %−9.7 %+34.0 %
The Great Inflation (stagflation)1969-01 – 1982-07+114.1 %+5.8 %−26.2 %+84.6 %
1973-74 oil shock and bear market1973-01 – 1974-12−21.9 %−11.6 %−26.2 %−41.7 %
Second oil shock and the Volcker disinflation1979-01 – 1982-08+48.5 %+11.4 %−10.2 %+59.2 %
Great bull market in stocks and bonds1982-08 – 1999-12+970.3 %+14.6 %−17.7 %+2060.4 %
Black Monday1987-08 – 1987-12−12.6 %—−17.7 %−21.8 %
Savings-and-loan crisis and 1990 recession1990-07 – 1991-03+6.2 %—−10.5 %+7.4 %
1994 bond market massacre1994-02 – 1994-12−5.0 %—−6.4 %−3.2 %
Asian and Russian financial crises1997-07 – 1998-10+11.6 %+8.6 %−8.7 %+22.4 %
Dot-com bubble and crash2000-03 – 2002-10−5.1 %−1.9 %−9.7 %−37.2 %
Recovery and housing boom2002-11 – 2007-09+85.5 %+13.4 %−4.1 %+97.0 %
Global financial crisis2007-10 – 2009-03−23.0 %−16.0 %−28.7 %−44.7 %
The decade after the crisis2009-04 – 2019-12+189.3 %+10.4 %−7.7 %+411.2 %
Fourth-quarter 2018 sell-off2018-09 – 2018-12−7.7 %—−7.7 %−14.4 %
Covid crash and stimulus boom2020-02 – 2021-12+25.4 %+12.5 %−10.7 %+53.6 %
Inflation shock and rate hikes2022-01 – 2022-12−17.6 %−17.6 %−21.9 %−19.9 %

Calendar years

-24%42%1927: +19.4%1928: +21.9%1929: -6.9%1930: -15.7%19301931: -24.4%1932: -1.3%1933: +41.7%1934: +5.0%1935: +27.7%1936: +21.0%1937: -18.8%1938: +18.0%1939: +2.5%1940: -1.8%19401941: -6.4%1942: +11.4%1943: +19.9%1944: +15.8%1945: +25.6%1946: -3.0%1947: +2.0%1948: +2.0%1949: +12.2%1950: +18.3%19501951: +11.3%1952: +7.9%1953: +2.1%1954: +30.5%1955: +13.1%1956: +3.3%1957: -3.3%1958: +26.6%1959: +6.7%1960: +5.1%19601961: +15.9%1962: -2.9%1963: +12.4%1964: +10.6%1965: +10.3%1966: -2.4%1967: +18.2%1968: +11.2%1969: -9.7%1970: +8.1%19701971: +14.1%1972: +9.0%1973: -10.2%1974: -13.0%1975: +24.4%1976: +24.2%1977: +1.4%1978: +5.2%1979: +15.6%1980: +17.4%19801981: +1.7%1982: +30.3%1983: +14.8%1984: +9.1%1985: +30.8%1986: +18.1%1987: -1.1%1988: +13.3%1989: +23.1%1990: -2.0%19901991: +25.5%1992: +6.3%1993: +19.3%1994: -2.1%1995: +24.3%1996: +10.0%1997: +15.3%1998: +11.8%1999: +13.4%2000: +1.3%20002001: -0.8%2002: -2.1%2003: +23.9%2004: +12.2%2005: +7.4%2006: +12.8%2007: +7.7%2008: -16.0%2009: +18.5%2010: +14.1%20102011: +3.5%2012: +12.0%2013: +12.8%2014: +8.1%2015: -0.8%2016: +7.7%2017: +14.4%2018: -5.2%2019: +19.8%2020: +14.7%20202021: +10.0%2022: -17.6%2023: +14.0%2024: +8.2%2025: +14.3%

Any N-year period

Any N-year periodWorst10 % worse thanMedian10 % better thanBest
1 y (1192)−39.7 %−5.6 %+9.9 %+23.1 %+88.0 %
3 y (1168)−23.4 %+0.7 %+8.9 %+15.9 %+29.8 %
5 y (1144)−8.6 %+3.6 %+8.4 %+13.7 %+23.6 %
10 y (1084)+0.7 %+5.4 %+8.5 %+13.3 %+16.0 %
15 y (1024)+3.0 %+6.1 %+8.6 %+13.0 %+15.2 %
20 y (964)+4.0 %+6.8 %+8.9 %+12.6 %+14.3 %
30 y (844)+6.6 %+7.7 %+9.1 %+11.0 %+12.4 %

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.