Time-Varying Risk Premia and Profits from Portfolio Trading Strategies in the U.S. Stock Markets

Abstract

This paper re-examines the profitability of two portfolio trading strategies that are currently the most controversial in financial research: the relative-strength strategy based on medium-term return continuation (3 to 12 months) and the contrarian strategy based on long-term return reversals (2 to 5 years). Using a sample of 1,500 stocks listed on the NYSE and AMEX from 1963 to 1989, the bootstrap test result shows that large parts of the profits to the relative-strength strategy can be explained by time-varying expected returns estimated from a bivariate GARCH model for the conditional CAPM. This result generally holds, even within subsamples classified by other measurees of risk such as firm sizes and market model betas, except for the medium- and large-size groups. However, profits to the contrarian strategy are shown to be the most difficult to reconcile with existing asset pricing models. The bootstrap distributions for the contrarian profits under any null models average significantly lower profits than the actual distributions at the 10% significance level. This indicates that the asset pricing models are incapable of explaining long-term mean reverting behavior of stock returns

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