We analyze a model of anomaly discovery. Consistent with existing evidence, we show that the discovery of an anomaly reduces its magnitude and increases its correlation with existing anomalies. One new prediction is that the discovery of an anomaly reduces the correlation between deciles 1 and...

We present a model in which an insider (i.e., manager or CEO) and an informed outsider (i.e., analyst or professional) have heterogeneous beliefs on their shared information about a risky asset and analyze the insider's incentive to voluntarily disclose this information to the public. We find...

This paper examines the effect of the political network of Chinese municipal leaders on the pricing of municipal corporate bonds. Using municipal leaders' working experience to measure the political network, we find that this network improves the credit ratings of the issuer, local government...

In this paper, we study leveraged ETFs, in particular, Ultra ETFs and UltraShort ETFs from the ProShares family. These Ultra (UltraShort) ETFs are designed to provide twice (twice the opposite) of the performance of the benchmark on a daily basis. We focus on the relation between long term...

We analyze a model of anomaly discovery. Consistent with existing evidence, we show that the discovery of an anomaly reduces its magnitude and increases its correlation with existing anomalies. One new prediction is that the discovery of an anomaly reduces the correlation between deciles 1 and...

We introduce learning into the hedge fund managers’ risk choice problem with imperfect information. We find that with a constant but unobserved expected return on investment, learning induces managers to take more risks and increases manager compensation. When the return is stochastic,...

We examine the return information conveyed by a firm’s dividend surprise, defined as the difference between a firm’s actual dividend per share (DPS) and investors’ expected DPS. We find that negative-surprise stocks (i.e., stocks in the lowest dividend surprise quintile) provide 5.64% more...