We investigate the pricing of systematic tail risk measured by tail beta in the Chinese equity market. Using an array of tests, we examine the performance of more than 3,300 stocks for the years 1999 through 2018. Contrary to evidence from developed markets, we demonstrate a strong negative...

Using a large sample of U.S. public firms, we find robust evidence that short interest is positively related to one-year ahead stock price crash risk. The evidence is consistent with the view that short sellers are able to detect bad news hoarding by managers. Additional findings show that the...

Using a large sample of U.S. public firms, we find robust evidence that short interest is positively related to one-year ahead stock price crash risk. The evidence is consistent with the view that short sellers are able to ferret out bad news hoarding by managers. Additional findings show that...

This paper takes the first opportunity to study the impact of the recent financial crisis on the stock price performance of initial public offerings (IPOs) in the short and long run. We conduct an analysis of 588 firms newly listed on the U.S. stock markets over the period 2003- 2010. We find...

Previous studies rarely discuss the effect of margin trading on future stock price crash risk, though margin trading is often blamed for destabilizing stock market. We propose three possible mechanisms through which margin trading may affect crash risk. Our empirical results show that neither...

In this study, we examine the predictability of firm-specific stock price crashes using modern machine learning techniques and develop a crash prediction model that utilizes both financial ratios and textual data from the Management Discussion and Analysis (MD&A) of 10-K files. We show that...

Previous studies rarely discuss the effect of margin trading on future stock price crash risk, though margin trading is often blamed for destabilizing stock market. We propose three possible mechanisms through which margin trading may affect crash risk. Our empirical results show that neither...

This paper explores the effect of oil price fluctuations on the stock returns of U.S. oil firms using a strategy of identification through heteroskedasticity exploiting the 2020 oil crash. Results are twofold. First, we find that a decline in oil prices statistically significantly reduces stock...

This paper investigates the role of volatility risk on stock return predictability specified on two global financial crises: the dot-com bubble and recent financial crisis. Using a broad sample of stock options traded at the American Stock Exchange and the Chicago Board Options Exchange (CBOE)...

We construct a momentum factor that identifies cross-sectional winners and losers based on a weighting scheme that incorporates all the price data, over the entire lookback period, as opposed to only the first and last price points of the window. The weighting scheme is derived from the...