High-frequency trading has become a dominant force in the U.S. capital market, accounting for over 70% of dollar trading volume. This study examines the implication of high-frequency trading for stock price volatility and price discovery. I find that high-frequency trading is positively...

Institutional investors’ common blockholdings within an industry produce an information advantage, allowing them to differentiate between the industry-wide and firm-specific nature of bad news released by peer firms and avoiding selling on false spillover signals (i.e., “panic exit”),...

I reexamine whether media articles with substantive editorial content inform the market's reaction to firms' earnings news. Using variation in earnings announcement coverage because of restructuring at The Wall Street Journal (WSJ), my analyses suggest that WSJ earnings articles improve price...

We investigate whether implied volatility comovements reflect the degree to which a firm’s private information is informative about future macroeconomic news. We compute IVC, the comovement of the implied volatilities between the firm and the aggregate market. IVC measures the extent to which...

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...

We investigate the co-movement of stock prices and intrinsic value estimates focusing on the estimation of risk. We apply risk measurements based on a) market and b) accounting data. We find that price and value co-move from 1983 to 2014 on an index-level using accounting-based risk measurement...

Asymmetric timeliness (AT) measure from Basu (1997) regression is priced. Sorting firms on AT produces a 40 bp per month spread in six-factor alphas. The AT effect is driven almost exclusively by the bottom AT quintile, populated by aggressive firms that recognize gains more timely than losses....

We examine the predictive information content of the management forecasts of stock return volatility (i.e., expected volatility) that are disclosed in annual reports. We find that expected volatility predicts near-term and longer-term stock return volatility and earnings volatility incremental...

There is a logical bound on the time-series variability of analyst forecasts; when variability exceeds this bound it must be caused by something besides statistically rational forecasting. We document occurrences of excessively volatile analyst forecasts and show that they influence investment...