We investigate whether bank performance during the credit crisis of 2008 is related to CEOincentives and share ownership before the crisis and whether CEOs reduced their equity stakes intheir banks in anticipation of the crisis. There is no evidence that banks with CEOs whoseincentives were...

Large shareholders may play an important role for firm performance and policies, butidentifying this empirically presents a challenge due to the endogeneity of ownershipstructures. We develop and test an empirical framework which allows us to separateselection from treatment effects of large...

We develop a dynamic model of corporate investment and financing decisions in whichcorporate insiders have superior information about the firm's growth prospects. We show thatrms with positive private information can credibly signal their type to outside investors usingthe timing of corporate...

The study of liquidity in financial markets either invokes the ease with whichfinancial securities can be bought and sold, or addresses the ability to tradewithout triggering important changes in asset prices. More specifically, onecan think of liquidity as an exogenous measure of the added...

This paper investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyse both asymptotic approximations and bootstrap methods for...

A (conservative) test is constructed to investigate the optimal lag structure for forecasting realized volatility dynamics. The testing procedure relies on the recent theoretical results that show the ability of the adaptive least absolute shrinkage and selection operator (adaptive lasso) to...

Typical heart rate variability (HRV) times series are cluttered with outliers generated by measurement errors, artifacts and ectopic beats. Robust estimation is an important tool in HRV analysis, since it allows clinicians to detect arrhythmia and other anomalous patterns by reducing the impact...

We propose a nonparametric likelihood inference method for the integrated volatility under high frequency financial data. The nonparametric likelihood statistic, which contains the conventional statistics such as empirical likelihood and Pearson's chi-square as special cases, is not...