Reviews the book 'TREAT,' by Miklos A. Vasarhelyi and W. Thomas Lin.

This study examines whether the implementation of a mature enterprise risk management (ERM) framework by property and liability insurers improved their resilience in the face of the COVID-19 pandemic. To address the potential problem of endogeneity, we analyze a panel dataset of listed property and liability insurers from around the world using the propensity score matching method. Subsequently, a two-step “doubly robust” estimation method is employed. The results reveal that the performance of insurers with less mature ERM frameworks was adversely affected by the pandemic but that of insurers with more mature ERM frameworks was not. These findings remain consistent after conducting various robustness checks. Separate consideration of each ERM component reveals that no component independently enhanced insurers' resilience; rather, the components collectively enhanced their resilience. Overall, this study provides valuable insights for insurers and regulators aiming to enhance the industry's ability to withstand future challenges.

We re-examine the puzzling pattern of lead-lag returns among economically-linked firms. Our results show that investors consistently underreact to information from lead firms that arrives continuously, while information with the same cumulative returns arriving in discrete amounts is quickly absorbed into price. This finding holds across many different types of economic linkages, including shared-analyst-coverage. We conclude that the ǣfrog in the panǥ (FIP) momentum effect is pervasive in co-momentum settings, suggesting that information discreteness (ID) serves as a cognitive trigger that reduces investor inattention and improves inter-firm news transmission.