This paper examines the cross-sectional properties of stock return forecasts based on Fama-MacBeth regressions using all firms contained in the STOXX Europe 600 index during the September 1999-December 2018 period. Our estimation approach is strictly out-of-sample, mimicking an investor who...

The presence of the seasonal or monthly effect in stock returns has been reported in several developed and emerging stock markets. This study investigates the existence of seasonality in return series of Dhaka Stock Exchange (DSE) of Bangladesh. The study uses the monthly return data of the DSE...

In this article, we document a new stock market anomaly that seems to have escaped the attention of both investment professionals and academics alike. We find that over more than a century, the monthly market return has been predicted by the monthly market return at lag 5. This predictability is...

The effect of investor sentiment on stock volatility is a highly attractive research question in both the academic field and the real financial industry. With the proposal of China's "dual carbon" target, green stocks have gradually become an essential branch of Chinese stock markets. Focusing...

Based on Jiang, Kelly, and Xiu (JKX, 2021), we propose a new machine learning model to predict future returns using the price images in the Chinese stock market. We show that our model can achieve a more accurate out-of-sample prediction of a stock’s future return than a traditional model. The...

This study shows how correlated information consumption (CIC) of retail investors relates to comovement in stock market outcomes. We construct clusters of stocks with CIC by employing network analysis on Google co-search data. We predict significant comovement in returns and liquidity of stocks...

This paper investigates the predictability of the firm news tone on stock return in Chinese market. We find that the news tone significantly positively predicts the cross-sectional future return in both short and long horizon. Beyond this, we generally find while the online news could predict...

Exploiting novel data from Guba forum in China, we analyze the return extrapolation in the cross-section comprehensively and relate it to return predictability and market quality. We find that investors extrapolate from past returns to form their beliefs with exponentially decaying weight and...

This paper proposes a dynamic information diffusion model that explains the lead-lag reaction of stock prices resulting from the interaction of price trends and implied price risk (IPR). Consistent with our model's predictions, we construct a zero investment underreaction portfolio (overreaction...

This work evaluates the behavior of portfolios comprised of Brazilian stocks ranked by their volatility to investigate the low volatility anomaly.Between January 2003 and December 2021, the low volatility portfolio presented a 6% annual return above the high volatility portfolio. This result is...