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Published online by Cambridge University Press: 11 April 2023
We introduce a new approach to estimating long-term aggregate discount rates using the cross section of earnings and book values to explain current stock prices and extract expected market returns. The proposed discount rate measure is countercyclical. Shocks to it account for nearly half of historical market return variation; in contrast, shocks to other discount rate measures account for no more than 2%. It dominates other measures in explaining time-series variation in returns on duration-sorted portfolios and delivers out-of-sample predictability that exceeds that afforded by other expected return measures and predictive variables. It also performs well in international equity markets.
We are grateful to an anonymous referee and Thierry Foucault (the editor) for constructive and insightful comments that greatly improved the article. We also thank Geert Bekaert, Michael Brandt, Hui Guo, Michael Halling, Volkan Muslu (CFMA discussant), Jim Ohlson, Sergei Sarkissian, Ivo Welch, Robert Whitelaw, Jeff Wurgler, Nir Yehuda, Tim Zhang (AAA discussant), and conference participants at the 2017 American Accounting Association meeting and the 2019 Conference on the Convergence of Financial and Managerial Accounting Research for helpful comments and suggestions, and Yan Li and David Ng for sharing their aggregate implied cost of capital data. David Weinbaum gratefully acknowledges research support from the Harris Fellowship in Finance. All errors remain our responsibility.