ABSTRACT In this paper, we exploit the open nature of conference calls to explore whether managers withhold information from the investing public. Our evidence suggests that managers regularly leave participants on the conference call in the dark by not answering their questions. We find that the best predictors of such an event are firm size, a CEO's stock price–based incentives, company age, firm performance, litigation risk, and whether analysts are actively involved during the call's Q&A section. Finally, we document strong support for the assumption maintained in the literature that investors interpret silence negatively. That is, investors seem to interpret no news as bad news.

How do the distance constraints faced by lenders in acquiring borrower information affect the design of bank loan contracts? Theoretical studies posit that greater information asymmetry leads to the allocation of stronger ex ante decision rights to the lender (the uninformed party). Consistent with this hypothesis, we find that, upon inception, contracts tend to be more restrictive when firms seek loans from remote lenders. This finding is robust to potential endogeneity bias and simultaneity of various loan terms. Overall, we establish a strong informational link between distance and loan contract design.

Abstract We construct text-based measures of the primary concerns listed firms associated with the spread of COVID-19 and other epidemic diseases. We identify which firms perceive to lose or gain from a given epidemic and textually decompose the epidemic’s effect on the firm’s demand and supply. We find that the effects of COVID-19 manifest as a simultaneous shock to demand and supply, with both shocks affecting firms’ market valuations in equal measure on average. By contrast, demand-related impacts appear more important in accounting for the observed collapse in firm-level investment during the COVID-19 crisis. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online