Abstract The availability of big data and analytics expertise provides insurers with informational advantages over policyholders in estimating risk. We study competition between heterogeneously informed insurers, showing that their information may or may not be revealed in equilibrium. We find that all equilibria are profitable and that noninformative equilibria entail risk pooling and possibly efficiency. In informative equilibria, the signaling problem interacts with the screening problem that arises endogenously from insurers’ revelation of information, implying underinsurance. Our main insights are robust to changes in insurers’ information precision and market concentration and to the presence of two-sided asymmetric information and withdrawable contracts.

When the debt of firms in distress is dispersed, a restructuring agreement may be difficult to reach because of free riding. We develop a repeated game in which banks come across each other frequently, and can threaten a punishment in case of free riding. As the number of lending banks grows, the chance of meeting again a bank and of being punished for free riding increases, improving the likelihood of cooperation. Looking at Italian firms in distress, we find that the estimated restructuring probability, as well as the probability of a positive outcome of financial distress, increases with the number of banks up to a threshold beyond which coordination problems prevail.