Using high frequency data, we develop an event study method to test for level shifts in beta and measure abnormal returns for events that produce such level shifts. Using this method, we estimate abnormal returns for the Troubled Asset Relief Program (TARP) announcement and find that its...

Using high frequency data, we develop an event study method to test for level shifts in beta and measure abnormal returns for events that produce such level shifts. Using this method, we estimate abnormal returns for the Troubled Asset Relief Program (TARP) announcement and find that its...

Earnings announcements present a clear risk to investors and, under rational asset pricing theory, such risk should be consistently priced in stocks. However, we find that stocks with high earnings announcement risk earn significantly higher returns only during months when firms have earnings or...

We examine whether financial analysts—sophisticated market participants—are subject to limited attention. We find that when analysts have another firm in their coverage portfolio announcing earnings on the same day as the sample firm (a “concurrent announcement”), they are less likely to...

This paper finds that the majority of stock price movements remain unexplained after controlling for both public and private information. This suggests that economists' inability to explain asset price movements is the result of either noise or naive asset pricing models.

CPEC, a mega project that aims to connect Gwadar from Kashghar, is not only a game changer for China and Pakistan but it is for the whole region. This research paper will disclose the impact of the announcement of CPEC on different sectors including cement, automobile, banking, insurance and...

This paper explores the information content of option implied volatility around the announcements and issue dates of Seasoned Equity Offerings (SEOs). The literature on SEOs indicates that announcements and issue dates contain important information about firms and therefore provide profitable...

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...

To compare the impact of fundamental news with the publication of traders' positions in an event study framework, a generalized autoregressive conditional heteroscedasticity (GARCH) model with t-distributed error terms is applied to corn, soybean, and wheat futures returns from January 1996 to...

We examine the impact of accounting quality, used as a proxy for information risk, on the behavior of equity implied volatility around quarterly earnings announcements. Using US data during 1996-2010, we observe that lower (higher) accounting quality significantly relates to higher (lower)...