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This dissertation consists of two topics. Chapter 1 explores the relationship between firm transparency and managerial behaviors of the U.S. Property-Casualty (P&C) insurers. Using data between 1996 and 2015, we test whether credit rating agencies (CRAs) provide useful information to monitor insurers’ loss reserve management behaviors as watchdogs. In addition, we investigate how insurers recognize the rating difference given by different CRAs. We find that holding a rating does not necessarily affect insurers’ reserve management behaviors. However, loss reserve estimation tends to be more accurate as more ratings are given to an insurer. Such findings suggest that multiple CRAs stimulate insurers to accurately estimate their reserves through the enhanced monitoring function. We also find a marginal impact of rating difference on an insurer’s loss reserve estimation. Firms with rating difference tend to underestimate their loss reserves. Nevertheless, this does not considerably deteriorate the reserve forecast accuracy. Although the Sarbanes–Oxley Act (SOX) aims at regulating publicly traded firms, it seems to affect over the market. Our empirical results show that insurers’ reserve estimation accuracy is improved after the enactment of the SOX. Moreover, the enactment of SOX alleviates an under-reserving behavior of firms with rating difference. Chapter 2 investigates the derivative practice of the U.S. life insurers. Over the last two decades, derivatives have been used extensively as a risk management tool in the financial market. In the U.S. insurance market, life insurers have accounted for over 95% of total derivative transactions, a proportion much higher than that in other countries. However, there are only a few prior studies examining the practical use of derivatives in the U.S. life insurance market. In addition, several limitations exist in terms of data they used (single-year, outdated, and inaccurate). In this study, we compile accurate derivative transaction data by taking a close look at the underlying asset and the traded market. We then examine the determinants of derivative (swap in particular) participation and the extent of transactions using samples from 2001 to 2015 which includes major events such as the U.S. financial crisis and the Dodd-Frank Act. We find that the determinants of derivative/swap participation are different from those of transaction volumes. We also find that the impact of the financial crisis on derivative usage is very limited in the life insurance market. However, the enactment of the Dodd-Frank Act not only reduces the likelihood of swap participation but also stagnates the growth of the swap transaction volumes, while the total derivative transaction volumes are significantly increased. Such findings indicate that the costs of the new regulation outweigh its benefits, due to the inefficient and inadequate regulatory changes. / 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.