Asymmetric Information and News Disclosure Rules
Matthew I. Spiegel
Yale University - Yale School of Management, International Center for Finance
University of California, Los Angeles (UCLA) - Finance Area; Institute of Global Finance, UNSW Business School; Financial Research Network (FIRN)
Journal of Financial Intermediation, Vol. 9, No. 4
When the imminence of news announcements is not public knowledge, many traders will lack information on both the mean and variance of private information. Our analysis of such a setting in both single and multi-security contexts implies that disclosure of impending information events by firms can bound variance uncertainty and thereby improve investor welfare by mitigating the market breakdown problem. We also find that the equilibrium pricing functions are non-linear; specifically, convex for small trades and concave for larger ones. In addition, we predict that large transactions will be followed by large levels of volatility.
JEL Classification: G12, G14
Date posted: October 12, 2000