Alternative Thinking
2020 Capital Market Assumptions for Major Asset Classes
January 29, 2020
Topics - Asset Allocation Portfolio Construction Strategic Asset Allocation
This article updates our estimates of medium-term (5- to 10-year) expected returns for major asset classes. It also introduces a section on estimating expected returns for cash. Selected estimates are summarized below. The year 2019 saw a reverse of 2018’s cheapening, with expected returns falling for both equities and (especially) bonds. The expected real return of the traditional U.S. 60/40 portfolio is just 2.4%, around half its long-term average of nearly 5% (since 1900 1 1 Close Based on historical real yields for U.S. large-cap equities and 10-year Treasuries, using a simplified methodology that allows long-term historical comparisons; methodology and sources described in Appendix. ).
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We thank Nick McQuinn, Ashwin Thapar and Dan Villalon for their work on this paper. We also thank Gregor Andrade, Matt Chilewich, Jeff Dunn, Jeremy Getson, Antti Ilmanen, Pete Hecht, Kelvin Lee, Thom Maloney, Toby Moskowitz, and Harsha Tummala for their helpful comments, and Rachel Lee, Sarah Schroeder, Nitin Krishna, and Derek Jansma for their excellent research assistance.
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Broad-based securities indices are unmanaged and are not subject to fees and expenses typically associated with managed accounts or investment funds. Investments cannot be made directly in an index.
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Hypothetical performance results (e.g., quantitative backtests) have many inherent limitations, some of which, but not all, are described herein. No representation is being made that any fund or account will or is likely to achieve profits or losses similar to those shown herein. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently realized by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points that can adversely affect actual trading results. The hypothetical performance results contained herein represent the application of the quantitative models as currently in effect on the date first written above and there can be no assurance that the models will remain the same in the future or that an application of the current models in the future will produce similar results because the relevant market and economic conditions that prevailed during the hypothetical performance period will not necessarily recur. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results, all of which can adversely affect actual trading results. Discounting factors may be applied to reduce suspected anomalies. This backtest’s return, for this period, may vary depending on the date it is run. Hypothetical performance results are presented for illustrative purposes only. In addition, our transaction cost assumptions utilized in backtests, where noted, are based on AQR Capital Management, LLC’s, (“AQR”)’s historical realized transaction costs and market data. Certain of the assumptions have been made for modeling purposes and are unlikely to be realized. No representation or warranty is made as to the reasonableness of the assumptions made or that all assumptions used in achieving the returns have been stated or fully considered. Changes in the assumptions may have a material impact on the hypothetical returns presented. Actual advisory fees for products offering this strategy may vary.
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