Investor sentiment affects stock market liquidity by affecting noise trading and irrational market makers. Previous studies have focused on this effect with the time-series variation in sentiment and liquidity. This paper utilizes firm-specific news sentiment (FSNS) to examine its effect on...

In this paper, we study the relationship between attention to cryptocurrency and investor reactions to earnings news. In recent years, the capital market witnessed cryptocurrency mania. Because investors have limited attention, we hypothesize that attention to cryptocurrency distracts investor...

Using a large dataset of news releases, we study instances of investors' mistaken reaction, or misreaction, to news. We define misreaction as stock prices moving in the direction opposite to the news when it is released. We find that news tone predicts returns in the cross-section only upon the...

This paper aims to examine the reactions among institutional and individual investors when facing those listed firms' public announcements, and the effects of their trading on stock returns on the Taiwan Stock Exchange (TSE). By employing a trivariate vector autoregressive (VAR) model, we find...

Prior literature on security class-action lawsuits generally treats the lawsuit filing day as the day when the event become public, in terms of evaluating event-study returns and informed shorting activity. However, in the days prior to the lawsuit filing, our investigation reveals that there...

Individual investors have an incredible variety of sources for investment guidance. These include internet blogs, financial publications, books, newsletters and, of course, television shows. We examine a relatively new but widely popular source of investment advice, buy and sell recommendations...

In this paper, we examine in a systematic manner how investors react to the sentiment of instant ESG news. Instead of acquiring proprietary ESG news or events datasets directly from specific ESG data providers, we extract fresh ESG news directly from a plethora of raw news articles. We showcase...