We show the cost of trading on negative news, relative to positive news, increases before earnings announcements. Our evidence suggests this asymmetry is due to financial intermediaries reducing their exposure to announcement risks by providing liquidity asymmetrically. This asymmetry creates a...

We develop and implement a new measure of information asymmetry among traders. Our measure is based on the intuition that informed traders are more likely than uninformed traders to generate abnormal volume in options or stock markets. We formalize this intuition theoretically and compute the...

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....

We examine the information content of option and equity volumes when trade direction is unobserved. In a multimarket symmetric information model, we show that equity short-sale costs result in a negative relation between relative option volume and future firm value. In our empirical tests,...

We show that the cost of trading on negative news, relative to positive news, increases before earnings announcements. Our evidence suggests that this asymmetry is due to financial intermediaries reducing their exposure to announcement risks by providing liquidity asymmetrically. This asymmetry...