We investigate the specification and power of intraday event study test statistics. Both the mean and market models generate well-specified return results for one- to thirty- minute intervals. Moreover, they detect return shocks equivalent to one spread in one- and five-minute interval data and...

This paper develops a new framework to study investor attention in real time at high frequency. Using information retrieval approach, we construct a proxy for attention from the Twitter messages of financial experts, hedge funds and portfolio managers around the release of unscheduled news...

The monetary policy shocks have been widely regarded to have effects on the financial markets. Before the 2008 financial crisis, the Federal Reserve adjusted the federal funds target rate to implement the monetary policy. This paper uses event studies to examine the relationship between the...

Using the first and recently available universe of dark pool trading in the U.S. from FINRA, we document trading patterns around scheduled and unscheduled corporate information events. We find that there is more trading in dark pools in the week of earnings announcement as well as analyst...

This paper investigates the robustness of post-earnings-announcement-drift (PEAD) on a price signal perspective, unlike the traditional literature that focuses on fundamental signal. The studied period is 2003-2015, for four main US indices. The results suggest that some economic agents are too...

According to the signaling theory, dividend announcements are usually considered as a signal to the investors, about firm's future performance, that results in stock prices changes. This study attempts to investigate the stock prices response to dividend announcement in the Damascus Securities...

Using a representative agent model in which the investor is averse to ambiguity (Knightian uncertainty) and sees an ambiguous piece of news about the fundamental value of a risky asset, I show a number of predictions for the dynamics of stocks around news: Stocks respond more strongly to bad...

This paper analyzes the reaction of interest rates and the stock market to macroeconomic news announcements (MNAs) at the zero lower bound (ZLB). I start by using a shadow rate term structure model to formulate three predictions for the sensitivity of interest rates to MNAs. First,...

Investors are reluctant to trade in the high-information-asymmetry days before earnings announcements. We show that the decrease in liquidity trading before announcements is asymmetric. We analyze buy and sell orders of investors with passive investment strategies, and find they do not reduce...

Short selling is of great interest to investors because this activity has predictive value for future stock returns. We investigate whether this extends to foreign stock ETFs. In contrast to regular stocks, ETFs with high short interest experience positive abnormal returns. Our analysis suggests...