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...

In this paper, we provide new evidence to strengthen the investor overreaction hypothesis by examining a new context that has not been explored before. Our research is inspired by the widely held belief that investor sentiment experiences abrupt changes from optimism to pessimism as the market...

Individual investors’ overall return in stock markets decreases with the increase in trading frequency due to factors such as commission expenses, insider trading, spreads, and institutional investors’ high-frequency algorithms. In this study, the relationship between believing the technical...

News on the stock market contains positive or negative sentiments depending on whether the information provided is favorable or unfavorable to the stock market. This study aims to discover news sentiments and classify news according to its sentiments with the application of PhoBERT, a Natural...

Using a very large data set with more than 9,700 stocks listed on NYSE, AMEX and NASDAQ, we analyze overnight price jumps and report short-term investor overreaction to information shocks and document return reversal and predictability up to five days. For negative and positive overnight jumps,...

We estimate the relative signal jump variance (RSJV) as the difference between the realized positive half-variance and negative half-variance divided by the realized variance using high-frequency intraday data and investigate its role in the cross-sectional pricing in the Chinese stock market....

The Indian Stock market has witnessed a major transformation and structural change from the 10 to 15 years as a result of the ongoing economic and financial sector reforms initiated by the government of India since 1991.Among these measures, lifting of barriers and opening up the doors for...

Using close to 800,000 transactions by 66,000 households in the United States and close to 2,000,000 transactions by 303,000 households in Finland, this paper shows that individual investors with longer holding periods choose to hold less liquid stocks in their portfolios, consistent with Amihud...

Using short sell transactions data from 2010 to 2016, this paper is the first to provide a comprehensive sample of short selling initiated by retail investors. We find that retail short selling can predict negative stock returns. A trading strategy that mimics weekly retail shorting earns an...

We use a novel and unique dataset to measure attention to securities—individuals’ stock-following over time (watchlists)—to provide evidence that attention to securities reacts differently to various types of uncertainty. We find that market-wide uncertainty, measured by the VIX index,...