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Time-varying predictability of the long horizon equity premium based on semiparametric regressions

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  • Yu, Deshui
  • Chen, Li
  • Li, Luyang

Abstract

This paper proposes a novel semiparametric model for long-horizon predictive regressions, in which the coefficients are allowed to be unknown functions of time. We pursue an indirect approach to estimate the long-horizon coefficients through the implication of the short-horizon coefficients. Empirically, the dividend-price ratio predicts either stock returns or dividend growth, or both in any local period. In comparison, dividend growth is less predictable than stock returns.

Suggested Citation

  • Yu, Deshui & Chen, Li & Li, Luyang, 2023. "Time-varying predictability of the long horizon equity premium based on semiparametric regressions," Economics Letters, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:ecolet:v:224:y:2023:i:c:s0165176523000587
    DOI: 10.1016/j.econlet.2023.111033
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    References listed on IDEAS

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    Cited by:

    1. Deshui Yu & Yayi Yan, 2023. "Joint dynamics of stock returns and cash flows: A time‐varying present‐value framework," Financial Management, Financial Management Association International, vol. 52(3), pages 513-541, September.
    2. Yu, Deshui & Huang, Difang, 2023. "Cross-sectional uncertainty and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 321-340.

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    More about this item

    Keywords

    Long-horizon stock return; Time-varying coefficient; Profile estimation; Present-value model;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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