Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The paper attempts to explore whether lagged variables that help predict stock returns are merely proxying for mis-measured risk. Therefore, three different ways of measuring risk are employed (i.e. semi-parametric, GARCH and lagged squared returns). In an application to Japanese data, four key predictor variables are shown to have non-trivial additional forecasting power irrespective of how we measure risk. Interestingly, unlike the U.S., the level of the lagged dividend yield is not positively correlated with returns in either Japan or South Korea.