We study the predictability of stock returns using an iterative model-building approach known as quantile boosting. Examining alternative return quantiles that represent normal, bull and bear markets via recursive quantile regressions, we trace the predictive value of extensively studied...

Campbell and Shiller’s “accounting identity” implies that the log dividend-price ratio (LDPR) predicts either returns or dividend growths, but neither is significantly predictable, a well-known puzzle. Existence of the long-term mean LDPR is an important assumption behind the accounting...

This paper examines whether financial analysts use the information contained in clinical trial disclosures to improve their forecast accuracy for pharmaceutical companies. Findings indicate that the improved clinical trial disclosures due to a quasi-regulation issued by the International...