This dissertation consists of two topics. Chapter 1 examines the relationship between contingent commission use and underwriting performance as well as underwriting risk using data from 2005 to 2016. Top brokers were banned from receiving contingent commissions following the inquiry in 2004 led by Eliot Spitzer, former New York Attorney-General. But the ban raised concerns about whether it created a level playing field across the industry, as smaller brokers continued taking them. In addition, despite the possible conflicts of interest, contingent commissions have also been recognized as a way to better align agent and insurer incentives. Regulators agreed to relax the terms for the leading brokers in 2010, resulting in a less onerous compliance regime for contingent commission use. It is important to study the effectiveness of contingent commission use on improving underwriting performance. This study finds strong evidence supporting the hypothesis that contingent commissions’ usage is associated with better underwriting performance as well as lower underwriting risk. This study also finds a curvilinear relationship between underwriting performance and the level of contingent commission use. Chapter 2 investigates the impact of executive overconfidence on capital structure decisions and reinsurance purchases using a sample of 37 publicly-traded property-liability insurance groups for the period 2002 to 2016. This study finds that insurance firms with overconfident executives have significantly higher leverage ratios than those without overconfident executives. This study also finds evidence that insurance firms with overconfident executives cede more reinsurance, and this evidence is stronger for insurers with more limited business capacity than those with ample business capacity. The results of this study also indicate that overconfident executives prefer internal reinsurance to external reinsurance. This research provides evidence that personality traits of executive impact capital structure decisions and reinsurance purchases for insurance firms, which should be of interest to policyholders and regulators. / Business Administration/Risk Management and Insurance

This dissertation consists of three essays: essay 1, Underwriting Use of Credit Information and Firm Performance ‐ An Empirical Study of Texas Property‐Liability Insurers, essay 2, Prediction of Ratings in Property‐Liability Industry when The Organizational Form Is Endogenous, and essay 3, A Discussion of Parsimonious Methods Predicting Insurance Companies Ratings. The purpose of the first essay is to investigate the influence of underwriting use of credit information on variation in insurers’ underwriting performance. Specifically, this study addresses the following two research questions: first, what firm‐level characteristics are associated with the insurers’ decision to use credit information in underwriting? second, is there a relationship between the use of credit information and variation in insurers’ underwriting performance? The empirical results indicate that larger insurance companies, companies having more business in personal auto insurance, and those with greater use of reinsurance are more likely to use credit information in underwriting. More importantly, the results indicate that use of credit information is associated with lower variation in underwriting performance, consistent with the hypothesis that use of credit information enables insurers to better predict their losses. The purpose of the second essay is to resolve the inconsistent relationship between the organizational forms (i.e., stock versus mutual insurers) and insurers’ financial strength ratings. Specifically, this study takes into account the potential endogenous nature of organizational forms to investigate the influence of organizational forms on insurers’ financial strength ratings. The empirical results from the models employed indicate that the stock dummy variable is indeed a significant predictor of insurers’ ratings and that the relationship between the stock dummy and insurers’ financial strength ratings is not affected after the endogenous nature of organizational forms is considered. However, such relationship flips to be negative when additional rating predictors are included into the models. The purpose of the third essay is to investigate whether a logistic model is consistent in its predictions within one data set and compare the predictability and classificatory performance between the regression with a set of financial variables and the regression with principal components derived from this set of financial variables. The empirical results indicate that the models’ predictability is consistent within one data set which includes two different groups of observations. Also, the findings suggest that the principal components regression as a parsimonious model achieves the similar accuracy of estimation and fit while providing clearer interpretation of the role of the significant predictors.