We study optimal disclosure via two competing communication channels; hard information whose value has been verified and soft disclosures such as forecasts, unaudited statements and press releases. We show that certain soft disclosures may contain as much information as hard disclosures, and we establish that: (a) exclusive reliance on soft disclosures tends to convey bad news, (b) credibility is greater when unfavorable information is reported and (c) misreporting is more likely when soft information is issued jointly with hard information. We also show that a soft report that is seemingly unbiased in expectation need not indicate truthful reporting. We demonstrate that mandatory disclosure of hard information reduces the transmission of soft information, and that the aggregation of hard with soft information will turn all information soft.
We study disclosure dynamics when the firm value evolves stochastically over time. The presence of litigation risk, arising from the failure to disclose unfavorable information, crowds out positive disclosures. Litigation risk mitigates firms' tendency to use inefficient disclosure policies. From a policy perspective, we show that a stricter legal environment may be an efficient way to stimulate information transmission in capital markets, particularly when the nature of information is proprietary. We model the endogeneity of litigation risk in a dynamic setting and shed light on the empirical controversy regarding whether disclosure preempts or triggers litigation.
We study optimal disclosure via two competing communication channels: hard information whose value has been verified, and soft disclosures such as forecasts, unaudited statements, and press releases. We show that certain soft disclosures may contain as much information as hard disclosures, and we establish that: (1) exclusive reliance on soft disclosures tends to convey bad news, (2) credibility is greater when unfavorable information is reported, and (3) misreporting is more likely when soft information is issued jointly with hard information. We also show that a soft report that is seemingly unbiased in expectation need not indicate truthful reporting. We demonstrate that mandatory disclosure of hard information reduces the transmission of soft information, and that the aggregation of hard with soft information will turn all information soft.
JEL Classifications: D72; D82; D83; G20.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.