Short-Duration Equity Return Puzzle

40 Pages Posted: 11 Oct 2023 Last revised: 2 Jan 2025

See all articles by Wentao Li

Wentao Li

School of Management, Xiamen University

Date Written: January 02, 2025

Abstract

Short-duration dividend strips have high conditional Sharpe ratios during crises, far beyond the theoretical upper bound. The finding is called the short-duration equity return puzzle. Using dividend prices and analyst dividend forecasts, this paper constructs the forward-looking required rate of return and the conditional Sharpe ratio for S&P 500 dividend strips over the period between 2002 and 2021. This paper also verifies that analyst dividend forecasts are reasonably accurate. During the COVID-19 pandemic crisis, the required rate of return of the 1-year dividend peaked at 55%, and its conditional Sharpe ratio rose to 14. This paper simulates the Hansen-Jagannathan theoretical upper bounds of the conditional Sharpe ratio for four mainstream macro-finance models—the preferred habit model (Campbell & Cochrane 1999), the long-run risk model (Bansal & Yaron 2004), the rare disaster model (Gabaix 2012), and the term structure model (Lettau & Wachter 2011). These predicted upper bounds are 2 to 17 times lower than the observed maximum. The finding is robust to construction methods of dividend prices, measurement errors, and transaction costs.

Keywords: Dividend Strip; Conditional Sharpe Ratio; Stochastic Discount Factor

undefined

JEL Classification: G12, G17, G01

Suggested Citation

Li, Wentao, Short-Duration Equity Return Puzzle (January 02, 2025). Available at SSRN: https://ssrn.com/abstract=4595925 or http://dx.doi.org/10.2139/ssrn.4595925

Wentao Li (Contact Author)

School of Management, Xiamen University ( email )

Xiamen, Fujian
China

0 References

    0 Citations

      Do you have a job opening that you would like to promote on SSRN?

      Paper statistics

      Downloads
      217
      Abstract Views
      833
      Rank
      298,008
      PlumX Metrics
      Plum Print visual indicator of research metrics
      • Usage
        • Abstract Views: 821
        • Downloads: 216
      • Captures
        • Readers: 4
      see details