We estimate the daily integrated variance and covariance of stock returns using high-frequency data in the presence of jumps, market microstructure noise and non-synchronous trading. For this we propose jump robust two time scale (co)variance estimators and verify their reduced bias and mean...

We examine how political corruption affects firms' accounting choices. We hypothesize and find that firms headquartered in corrupt districts manipulate earnings downwards, relative to firms headquartered elsewhere. Our finding is robust to alternative corruption measures, restatement-based...

We investigate how language similarity between acquirers and targets affects post-M&A performance using a large sample of M&A transactions in China. We hypothesize and find that acquirers achieve higher post-M&A operating performance when they acquire targets that share the same native...