The goal of determining which of hundreds of thousands of SNPs are associated with disease poses one of the most challenging multiple testing problems. Using the empirical Bayes approach, the local false discovery rate (LFDR) estimated using popular semiparametric models has enjoyed success in...

Using the framework provided by the asymmetric-information and real-options theories, we examine the impact of uncertainty on firms' decisions and market outcomes. We construct alternative measures of uncertainty based on survey of professional forecasters and our estimation of regression-based...

We examine the impact of uncertainty on employment dynamics. Alternative measures of uncertainty are constructed based on the survey of professional forecasters, and regression-based forecasting models for GDP growth, inflation, S&P500 stock price index, and fuel prices. Our results indicate...

Using a unique database over local Chinese securities firm's earnings forecasts and stock recommendations, it is shown that the average forecast error has decreased over time reflecting the maturing of the Chinese securities firms. Affiliated securities firms, defined as securities firms acting...

Cross-border venture capitals (CBVCs) are increasingly prevailing in recent decades, especially in emerging markets like China. With foreignness growing, it turns from liability into advantage in the context of CBVCs. We investigate the VC firm's syndication when faced with foreignness caused by...