An important claim of Bayesian learning and a standard assumption in price discovery models is that the strength of the price impact of unanticipated information depends on the precision of the news. In this paper, we test for this assumption by analyzing intra-day price responses of CBOT T-bond...

We analyze how markets adjust to new information when the reliability of news is uncertain and has to be estimated itself. We propose a Bayesian learning model where market participants receive fundamental information along with noisy estimates of news' precision. It is shown that the efficiency...

We study the impact of the arrival of macroeconomic news on the informational and noise-driven components in high-frequency quote processes and their conditional variances. Bid and ask returns are decomposed into a common ("efficient return") factor and two market-side-specific components...

Bayesian learning provides the core concept of information processing in financial markets. Typically, it is assumed that market participants know perfectly the quality of released news. However, in practice, news' precision is rarely disclosed. Therefore, we extend standard Bayesian learning,...

This paper is an investigation into the determinants of asymmetries in stock returns. We develop a series of cross-sectional regression specifications which attempt to forecast skewness in the daily returns of individual stocks. Negative skewness is most pronounced in stocks that have...

This paper examines the impact of capital gains taxes on equity pricing. Examining three-day cumulative abnormal returns for quarterly earning announcements from 1983-1997, we present evidence consistent with shareholders' capital gains taxes affecting stock price responses. To our knowledge,...

This paper defines an intertemporal tax discontinuity (ITD) as a circumstance in which different tax rates are applied to gains and losses realized at one point in time versus some other point in time, and studies the effects of ITDs on market behaviors at the time of disclosures of firm...

We study the implications of learning in an environment where the true model of the world is a multivariate one, but where agents update only over the class of simple univariate models. If a particular simple model does a poor job of forecasting over a period of time, it is eventually discarded...

We empirically document that stock prices moved inversely with dividend yields during the May, 1997 week, when the White House and Congress agreed on a budget accord that included a reduction in the capital gains tax rate. The share prices of firms not currently paying dividends increased...

We assume that the instantaneous riskless rate reverts towards a central tendency which in turn, is changing stochastically over time. As a result, current short-term rates are not" sufficient to predict future short-term rates movements, as would be the case if the central" tendency was...