Journal of Financial and Quantitative Analysis · 2015 · 89 citations · 43 references
BusinessEconomicsFinanceEconometricsFinancial EconometricsFinancial EconomicsAsset Return ModelingFinancial RiskMarket RiskPortfolio TheoryRisk-return AnalysisVolatility ModelingCross-section Of Asset ReturnsCross-sectional Return PredictionEquity Return PredictabilityLong-horizon Prediction ModelsVariance DecompositionVector AutoregressionVector Autoregression ForecastingYield Variance Decomposition
Abstract There is a generalized conviction that variation in dividend yields is exclusively related to expected returns and not to expected dividend growth, for example, Cochrane’s (2011) presidential address. We show that this pattern, although valid for the aggregate stock market, is not true for portfolios of small and value stocks, where dividend yields are related mainly to future dividend changes. Thus, the variance decomposition associated with the aggregate dividend yield has important heterogeneity in the cross section of equities. Our results are robust to different forecasting horizons, econometric methodology (long-horizon regressions or first-order vector autoregression), and alternative decomposition based on excess returns.
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Dividend yields and expected stock returns
Eugene F. Fama, Kenneth R. French · Journal of Financial Economics · 1988 · 3.7K citations