Researching the determinants of bank failure is an important task, yet the extant literature on bank failure early warning models fail to identify which model technique, sampling methodology, or set of coefficients provides the most accurate model when predicting failure on out-of-sample data....

We compare the out-of-sample accuracy of three methodologies—the time-varying hazard model of Shumway (2001), the static probit model used by Cole and Gunther (1998), and a static logistic regression model similar to Cole and White (2012)—in forecasting U.S. bank failures. When we limit all...

We extend the literature by investigating whether analysts cater their coverage to investor information demand. Results suggest that analysts' coverage is contemporaneously positively associated with investor information demand, and negatively associated with the previous time periods...

Research on mergers and hedge funds find that the risk arbitrage spread has contracted. This paper investigates the role financial analysts have on risk arbitrage by comparing mergers where a single analyst covers both the target and the acquirer prior to the deal announcement. We find that...

We replicate three bank failure models (Martin (1977), Cole and White (2012), and DeYoung and Torna (2013)) and introduce a new predictive model along with several evaluation methods to compare their out-of-sample predictive accuracy. We find that the models are highly accurate individually, and...

We consider comprehensive data on crowdfunding in the U.S., including debt (marketplace lending), rewards, donations, and equity crowdfunding, to formally test for the first time if banks are complements or substitutes to crowdfunding. The data indicate that bank failures in a county are...