We first document that each trading day the U.S. Treasury notes have a large proportion of zero returns. This is because almost all trades are executed at the best ask or bid quote and quoted spreads are mostly set close to the minimum tick. The proportion of zero returns is negatively...

By constructing high-frequency measures of informed trading and news about technological competition, we provide evidence that the news about a firm's disadvantage in competition leads to informed selling. Such a pattern is weaker among firms in the industries with faster technology obsolescence...

In this study, we employ order imbalance measures to provide evidence that there exists an individual/institutional dichotomy in reactions to seasoned equity offerings (SEOs). The evidence supports the notion that small, possibly naıve, individual investors keep trading SEO stocks...

We propose a unified set of distance-based performance metrics that address the power and extreme-error problems inherent in traditional measures for asset-pricing tests. From a Bayesian perspective, the distance metrics coherently incorporate both pricing errors and their standard errors....

In this study, we employ order imbalance measures to provide evidence that there exists an individual/institutional dichotomy in reactions to seasoned equity offerings (SEOs). The normally positive relation between imbalances and returns disappears for trade number imbalances but remains intact...

We study informed trading around announcements of merger bids (M&AD) and quarterly earnings (EAD). Extending the EKOP (1996) approach, we compute the daily posterior probabilities of informed trading on good and bad news. We find evidence of informed trading before and after M&AD and EAD. A...

We show that the noninformation component of trading costs is priced in the cross-section of stock returns using intraday data for NYSE/AMEX stocks. More importantly, we show that the noninformation component is much larger and more strongly related to stock returns than is the adverse-selection...

We decompose the structural estimate of the probability of informed trading, PIN, into components that capture informed trading on good and on bad news. We estimate these two components at quarterly intervals, and provide new evidence that they capture informed trading around earnings...

Many proxies of illiquidity have been used in the literature that relates illiquidity to asset prices. These proxies have been motivated from an empirical standpoint. In this study, we approach liquidity estimation from a theoretical perspective. Our method explicitly recognizes the analytic...

This study develops an econometric model that incorporates features of price dynamics across assets as well as through time. With the dynamic factors extracted via the Kalman filter, we formulate an asset-pricing model, termed as the dynamic factor pricing model (DFPM). We then conduct...