This study investigates the impact of equity market competition on stock price crash risk. Higher levels of equity market competition lead to a faster incorporation of information into stock prices, so that the amount of information that is at any time impounded into prices is greater. I find...

This study examines the relation between firm life cycle and stock price crash risk. Consistent with the argumentation that heterogeneity in investor beliefs about firm fundamental values is highest during the introduction and growth stage, we find that crash risk peaks in these stages....

An accounting-based earnings manipulation detection model has strong out-of-sample power to predict cross-sectional returns. Companies with a higher probability of manipulation (M-score) earn lower returns on every decile portfolio sorted by size, book-to-market, momentum, accruals, and short...

An accounting-based model has strong out-of-sample power not only to detect fraud, but also to predict cross-sectional returns. Firms with a higher probability of manipulation (MSCORE) earn lower returns in every decile portfolio sorted by: Size, Book-to-Market, Momentum, Accruals, and...

An earnings manipulation detection model based on forensic accounting principles (Beneish 1999) has substantial out-of-sample ability to predict cross-sectional returns. We show that the model correctly identified, ahead of time, 12 of the 17 highest profile fraud cases in the period 1998-2002....