The formation period return difference between past winners and losers, which I call the momentum gap, negatively predicts momentum profits. I document this for the U.S. stock market and find consistent results across 21 major international markets. A one standard deviation increase in the...

This paper studies the heterogeneous effects of the COVID-19 outbreak on stock prices in China and its hidden mechanisms from multi perspectives. First, we confirm the recent conclusion that the spread of the epidemic has a significant negative impact on stock market returns. However, this...

We propose a duration-based explanation for the major equity risk factors, including value, profitability, investment, low-risk, and payout factors. Both in the US and globally, these factors invest in firms that earn most of their cash flows in the near future. The factors could therefore be...

We provide evidence that equity investors with limited attention are slow to incorporate how current oil price changes affect future earnings announcements. A cross-sectional equity trading strategy that exploits this inefficiency yields an annualized Sharpe Ratio of 0.57. Stock prices respond...

This study investigated the impact of the introduction of the VN30-Index futures contract on the daily returns anomaly for the Ho Chi Minh Stock Exchange (HOSE). Daily returns of the VN30-Index for the period 6 February 2012 through 31 December 2019 are used in this study to ascertain the new...

More than 650 U.S. public company executives predict the stock price response to their quarterly financial reports and share their prediction after under a nondisclosure agreement. Despite having full knowledge of the reports before their release, executives’ estimates differ from realized...

We examine the impact of COVID-19 (C-19) pandemic on global equity markets by constructing novel infection indices. Our results show that the impact of prompt and large-scale policy interventions is ambiguous yet statistically significant. However, in this equivocality, the impact of global...

This paper examines how different categories of COVID–19 news sentiment differentially impact the behavior of cryptocurrency returns. A nonlinear technique of transfer entropy is applied to investigate the relationship between the top 30 cryptocurrencies by market capitalization and COVID–19...

Using the minute-frequency data of the top 30 coins listed on Binance, which represent 86% of the total dollar trading volume of the cryptocurrency market, we document strong evidence of cross-cryptocurrency return predictability. The lagged returns of other cryptocurrencies serve as significant...

A large literature explores whether asset returns comove in excess of what can be explained by fundamentals, thus suggesting the existence of frictions or behavioral biases. However, we show that comovement is a ubiquitous feature of asset returns that will arise in the presence of latent or...