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Tug-of-War: Time-Varying Predictability of Stock Returns and Dividend Growth

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  • Xiaoneng Zhu

Abstract

We propose a regime-switching present-value model with latent variables to jointly investigate the predictability of stock returns and dividend growth. We find that both return predictability and dividend growth predictability are time-varying. Interestingly, the predictability of stock returns and dividend growth is a tug-of-war contest: when dividend growth is highly predictable in the high-volatility regime, stock returns are largely unpredictable; in contrast, when dividend growth is less predictable in the low-volatility regime, stock returns are significantly predictable. We also investigate macroeconomic determinants of regime switches and find that two regimes are intimately related to macroeconomic risk and economic activity.

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  • Xiaoneng Zhu, 2015. "Tug-of-War: Time-Varying Predictability of Stock Returns and Dividend Growth," Review of Finance, European Finance Association, vol. 19(6), pages 2317-2358.
    • Handle: RePEc:oup:revfin:v:19:y:2015:i:6:p:2317-2358.
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    File URL: http://hdl.handle.net/10.1093/rof/rfu047
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    References listed on IDEAS

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    1. Bakshi, Gurdip & Chen, Zhiwu, 2005. "Stock valuation in dynamic economies," Journal of Financial Markets, Elsevier, vol. 8(2), pages 111-151, May.
    2. Goetzmann, William N & Jorion, Philippe, 1995. "A Longer Look at Dividend Yields," The Journal of Business, University of Chicago Press, vol. 68(4), pages 483-508, October.
    3. Leitch, Gordon & Tanner, J Ernest, 1991. "Economic Forecast Evaluation: Profits versus the Conventional Error Measures," American Economic Review, American Economic Association, vol. 81(3), pages 580-590, June.
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    Cited by:

    1. Kim, Jan R. & Chung, Keunsuk, 2020. "Regime switching in the present value models: A backward-solving method," Finance Research Letters, Elsevier, vol. 32(C).
    2. Zhu, Xiaoneng & Rahman, Shahidur, 2015. "A regime-switching Nelson–Siegel term structure model of the macroeconomy," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 1-17.
    3. Lawrenz, Jochen & Zorn, Josef, 2018. "Decomposing the predictive power of local and global financial valuation ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 137-149.
    4. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Dynamic factors and asset pricing: International and further U.S. evidence," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 21-39.
    5. Cenesizoglu, Tolga, 2022. "Return decomposition over the business cycle," Journal of Banking & Finance, Elsevier, vol. 143(C).
    6. Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017. "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, vol. 64(C), pages 128-140.
    7. Hammami, Yacine & Zhu, Jie, 2020. "Understanding time-varying short-horizon predictability✰," Finance Research Letters, Elsevier, vol. 32(C).

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