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Stock return predictability and cyclical movements in valuation ratios

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  • Yu, Deshui
  • Huang, Difang
  • Chen, Li

Abstract

According to present-value models, financial valuation ratios should predict future stock returns or cash flows; however, when tested empirically, these ratios show little power. This paper develops insights into stock return predictability and reconciles the contradictory findings about the information provided by financial ratios. We decompose a financial ratio into a slow-moving component that reflects the time-varying local mean, and a cyclical component that reflects the transitory deviations of the ratio from its local mean. The cyclical components deliver substantially improved in- and out-of-sample forecast gains of stock returns and cash flows relative to the original financial ratios and the historical average benchmark. Conversely, the slow-moving components fail to predict returns, and therefore they are found to disguise the predictive information contained in the financial ratios for stock returns and cash flows.

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  • Yu, Deshui & Huang, Difang & Chen, Li, 2023. "Stock return predictability and cyclical movements in valuation ratios," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 36-53.
  • Handle: RePEc:eee:empfin:v:72:y:2023:i:c:p:36-53
    DOI: 10.1016/j.jempfin.2023.02.004
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    Cited by:

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    3. Boyao Wu & Difang Huang & Muzi Chen, 2023. "Estimating contagion mechanism in global equity market with time‐zone effect," Financial Management, Financial Management Association International, vol. 52(3), pages 543-572, September.

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    More about this item

    Keywords

    Stock return predictability; Slow-moving and cyclical movements; Present-value models; Nonparametric decomposition;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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