We investigate the effect of information uncertainty on the macroeconomicannouncement premium of the market return in addition to theeffect of fundamentals uncertainty. We show that the premium issignificant only during low information uncertainty periods, opposite to thecase of fundamentals...

By making new product preannouncements (NPP) firms encourage consumers to postpone purchase and wait for the firms' new product that in turn cannibalizes current sales, both own and competitor's. Profitability of NPP depends on which firm's sales are cannibalized and relative margins on current...

In the last decade, social media and the Internet have amplified the possibility to spread false information, a.k.a. fake news, which has become a serious threat to the credibility of politicians, organizations, and other decision makers. This paper proposes a framework for investigating the...

We present a competitive model of takeovers that explains two robust features of the data: target premia and size-dependent bidder returns. Takeovers are driven by complementarity between two factors, non-tradeable "skill" and a tradeable "project". Firms are heterogeneous in both dimensions....

Followers of law, politics and business commonly relate stories of individuals who appear to predict an expected self-performance level below what they believe likely. Candidates, attorneys and firms sometimes seem to under-predict their own capacities. Insofar as individuals typically construct...

The event study is an important methodology in management research that enables the assessment of value attributable to firm initiatives based on the responses of capital markets to news about firm actions. While capital markets are efficient in processing information about firms, their ability...

This paper studies the implications of disclosure repetitiveness on firm performance, information processing costs, and future stock returns. I propose a compression-based method to measure disclosure repetitiveness, which is assumption-free with respect to the underlying language models. I then...