The M&A transactions represent a wide range of unique business optimization opportunities in the corporate transformation deals, which are usually characterized by the high level of total risk. The M&A transactions can be successfully implemented by taking to an account the size of investments,...

This paper examines whether financial statement information can predict future realized volatility incremental to the volatility implied by option market prices. Prior research establishes that option-implied volatility is a biased estimator of future realized volatility. I use an analytical...

We test the proposition in Johnstone (2016) that new information may lead to higher, rather than lower, uncertainty about firms' future payoffs. Based on the Bayesian rule, we hypothesize earnings news that is inconsistent with investors' prior belief will lead to higher market uncertainty....

High-frequency trading has become a dominant force in the U.S. capital market, accounting for over 70% of dollar trading volume. This study examines the implication of high-frequency trading for stock price volatility and price discovery. I find that high-frequency trading is positively...

We employ an intertemporal CAPM (Merton, 1973) framework to examine how exposure to currency risk is priced in foreign equity returns. We identify the fundamental determinants of foreign equity return and foreign currency loadings with respect to the world equity factor and global currency risk...

The performance of analysts’ forecasts has attracted increasing attention in recent years. However, as yet, no empirical study has investigated the nexus between the analyst forecast dispersion (AFD) and excess returns surrounding stock market crashes in any depth. This paper attempts to fill...

We examine the predictive information content of the management forecasts of stock return volatility (i.e., expected volatility) that are disclosed in annual reports. We find that expected volatility predicts near-term and longer-term stock return volatility and earnings volatility incremental...

There is a logical bound on the time-series variability of analyst forecasts; when variability exceeds this bound it must be caused by something besides statistically rational forecasting. We document occurrences of excessively volatile analyst forecasts and show that they influence investment...

A stream of literature shows that human attention constraints affect asset pricing in predictable ways. When traders are distracted, stock prices tend to initially underreact to earnings news and then gradually incorporate the news over subsequent weeks. In modern markets, however, the majority...

We develop a measure of how information events impact investors' perceptions of risk that is broadly applicable and simple to implement. We derive this measure from an option-pricing model where investors anticipate an announcement that simultaneously conveys information on the announcer's...