Price- Related Anomalies and Predictability of Stock Returns
Beta s Win Again, Prediction with Anomalies
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Huge empirical evidence suggests that a number of fundamentals help to explain the cross-sectional pattern of asset returns. In this dissertation we expand that evidence by investigating the cross-sectional pattern of stock returns for eight emerging markets, using two methodologies. Vector Auto regressive Approach (VAR) in conducting the inference about the ability of dividend yields to predict stock returns, and between estimator panel data regression in conducting the inference about the ability of price-earning ratio, book-to-market ratio, market capitalization, and beta to predict stock r...
Huge empirical evidence suggests that a number of fundamentals help to explain the cross-sectional pattern of asset returns. In this dissertation we expand that evidence by investigating the cross-sectional pattern of stock returns for eight emerging markets, using two methodologies. Vector Auto regressive Approach (VAR) in conducting the inference about the ability of dividend yields to predict stock returns, and between estimator panel data regression in conducting the inference about the ability of price-earning ratio, book-to-market ratio, market capitalization, and beta to predict stock returns. Our results confirm some of the existing evidence for developed markets. Firstly, we report that dividend yield shocks play an important role in driving fluctuation in stock returns and this relation is positive. Secondly, we report that betas have a significant explanatory power in four markets and the sign is positive, which means that our result goes with same line of CAPM, but inthe other hand, P/E, B/M, and MCAP all failed to capture any power to predict stock returns.
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