This study examines the information content of quarterly earnings announcements, measured as the magnitude of stock price revision at earnings announcements relative to price revision at other times. We investigate whether quarterly earnings announcements are informative using a nonparametric...

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...

Using novel earnings calendar data, we show that firms' advanced scheduling of earnings announcement dates foreshadows their earnings news. Firms that schedule later-than-expected announcement dates subsequently announce worse news than those scheduling earlier-than-expected announcement dates....

An analysis of about 300000 earnings forecasts, created by 18000 individual forecasters for earnings of over 300 S&P listed firms, shows that these forecasts are predictable to a large extent using a statistical model that includes publicly available information. When we focus on the...

Do insiders trade on private information about earnings? We address this question exploiting the discontinuity in the term structure of option prices around the announcement date, to obtain a daily and forward-looking measure of the informativeness of the next earnings announcement. This measure...

This study investigates the effect of a security regulation that occurs concomitantly with International Financial Reporting Standards (IFRS) adoption on the information content of earnings announcements in Italy. To identify the effect of this regulation, we use a treatment (i.e., Italy) and a...

Prior studies use fundamental earnings forecasts to proxy for the market's expectations of earnings because analyst forecasts are biased and are available for only a subset of firms. We find that as a proxy for market expectations, fundamental forecasts contain systematic measurement errors...

While it is widely acknowledged that companies face increasing cybersecurity risk stemming from hackers stealing customer information, a relatively unknown cybersecurity risk is from information leakage and subsequent trading by digital insiders – hackers who target corporations to obtain...

This study proposes and tests an alternative to the extant earnings management explanation for zero and small positive earnings surprises (i.e., analyst forecast errors). We argue that analysts' ability to strategically induce slight pessimism in earnings forecasts varies with the precision of...

Prompted by concerns that high frequency traders (HFTs) reap unfair advantages over other traders by using faster trading technologies, regulators are contemplating measures to slow down equity markets. Currently, HFTs account for a significant fraction of the total market volume. Although...