For almost a century, we document a significant January effect on the French equity market. We find strong evidences in favor of the tax-loss selling explanation for this phenomenon. Indeed, the January effect was insignificant before the introduction of a “confiscatory tax” on capital gains...

This study investigated the linkage between the effects of yield slope and the performance of stocks for the period, 2006-2012. The paper found a significant link between the two variables. The sharp increase of yield slope positively affected stock market performance of small, mid and big cap...

This paper presents evidence suggestive of a conditional violation of weak-form market efficiency. Evidence suggests that the AR coefficient monotonically decreases along the return distribution, for each value and equal weighted market indices. These results suggest that the AR coefficient is...

This paper provides a comprehensive analysis on stock return predictability in Santiago Stock Exchange from January 2007 to January 2016 by employing portfolio method. In the risk-related predictors, we found no statistically significant predictive power of beta, total volatility, and...

This paper introduces a novel consumption-based variable, cyclical consumption, and examines its predictive properties for stock returns. Future expected stock returns are high (low) when aggregate consumption falls (rises) relative to its trend and marginal utility from current consumption is...

This paper documents a new high risk-low return puzzle. Specfically, we find that a forward-looking risk measure extracted from credit line undrawn spreads negatively predicts borrowers' future stock returns. This negative risk-return relation is separate from previously documented asset pricing...

This study aims to explore the performance persistence of frontier market equity anomalies. To this end, I replicate 140 anomalies in the cross-section of returns in a sample of 23 frontier markets. I demonstrate a robust and strong performance persistence in the anomaly returns. The return...

We develop a novel method to impose constraints on univariate predictive regressions of stock returns. Unlike the previous approaches in the literature, we implement our constraints directly on the predictor, setting it to zero whenever its value falls below the variable's past 12-month high....

We compare several representative sophisticated model averaging and variable selection techniques of forecasting stock returns. When estimated traditionally, our results confirm that the simple combination of individual predictors is superior. However, sophisticated models improve dramatically...