Enterprise Risk Analysis For Property Liability Insurance Companies

In a well-designed enterprise risk management (ERM) program, the firm integrates risk management into the strategic planning process, addressing strategic risk, financial risk, operational risk, and hazard risk under a single overarching process. This is particularly important to large financial firms, such as property and casualty (P&C) insurers, which face a diverse set of risks. We find that ERM quality, as measured by S&P ERM ratings from 2006-2012, has a strong positive affect on ROA and Tobin's Q for P&C insurers. In contrast to previous studies that have found that diversified firms suffer a value discount relative to their more focused peers, the results of this study suggest that, after controlling for ERM quality, business line diversification is associated with a performance premium whereas geographic diversification is not a significant factor.

The Geneva Association and Risk Economics The Geneva Association The Geneva Association (International Association for the Study of Insurance Economics) commenced its activities in June 1973, on the initiative of twenty-two members in eight European countries. It now has fifty-four members in sixteen countries in Europe and in the United States. The members of the association are insurance companies which provide financial support for its activities. The aims and strategy of the Geneva Association were clearly defined in 1971 by the founding committee. They were set forth in the first report to the Assembly of Members in 1974: "To make an original contribution to the progress of insurance by objective studies on the interdependence between economics and insurance." In pursuit of this objective, the Association strives to place insurance problems in the context of the modern economy and to overcome the antagonism between different groups and institutions by showing that they all have a common interest in tackling the problem of risk in a changing world. In consequence, the studies made by the Association had to move away from the subjects familiar to insurance professionals and explore related fields, dealing with opinions and behavior falling outside the profession's vii FOREWORD viii traditional framework of analysis. It is in this direction that the Association's preoccupations have been directed from the beginning, towards areas in which insurance activities come into contact with those of other economic sectors such as government, banking, manufacturing, and households.

Value- and risk-oriented management is a holistic method of managing businesses. In this book both actuarial methods and methods pertaining to classical internal control and classical risk management are used. Therefore the approach taken is necessarily interdisciplinary. Indeed, there is a new dynamically developing field for actuaries as a result of the emphasis now on the measurement of risk. This book provides the required basic knowledge for this subject from an actuarial perspective. It enables the reader to implement in practice a risk management system that is based on quantitative methods. With this book, the reader will additionally be able to critically appraise the applicability and the limits of the methods used in modern risk management. Value-oriented Management of Risk in Insurance focuses on risk capital, capital allocation, performance measurement and value-oriented management. It also makes a connection to regulatory developments (for example, Solvency II). The reader should have a basic knowledge of probability and familiarity with mathematical concepts. It is intended for working actuaries and quantitative risk managers as well as actuarial students.

Risk management techniques used in banks and trading floors are generally not applicable to insurance companies. Risk measures and risk monitoring approaches must be developed to respond to the challenges to the insurance industry. This paper describes the current risk management practices for both life and general insurance businesses, and proposes the corporate model approach that extends the present approaches to provide corporate management solutions, enterprise risk management in particular, for insurers.

This new edition of the Handbook of Insurance reviews the last forty years of research developments in insurance and its related fields. A single reference source for professors, researchers, graduate students, regulators, consultants and practitioners, the book starts with the history and foundations of risk and insurance theory, followed by a review of prevention and precaution, asymmetric information, risk management, insurance pricing, new financial innovations, reinsurance, corporate governance, capital allocation, securitization, systemic risk, insurance regulation, the industrial organization of insurance markets and other insurance market applications. It ends with health insurance, longevity risk, long-term care insurance, life insurance financial products and social insurance. This second version of the Handbook contains 15 new chapters. Each of the 37 chapters has been written by leading authorities in risk and insurance research, all contributions have been peer reviewed, and each chapter can be read independently of the others.

Two different applications have been considered, automobile claims from Massachusetts and health expenses from the Netherlands. We have fit 11 different distributions to these data. The distributions are conveniently nested within a single four parameter distribution, the generalized beta of the second type. This relationship facilitates analysis and comparisons. In both cases the GB2 provided the best fit and the Burr 3 is the best three parameter model. In the case of automobile claims, the flexibility of the GB2 provides a statistically siE;nificant improvement in fit over all other models. In the case of Dutch health expenses the improvement of the GB2 relative to several alternatives was not statistically significant. * The author appreciates the research assistance of Mark Bean, Young Yong Kim and Steve White. The data used were provided by Richard Derrig of The Massachusetts Automobile Rating and Accident Prevention Bureau and by Bob Van der Laan and The Silver Cross Foundation for the medical insurance claim data. 2~ REFERENCES Arnold, B. C. 1983. Pareto Distributions. Bartonsville: International Cooperative Publishing House. Cummins, J. D. and L. R. Freifelder. 1978. A comparative analysis of alternative maximum probable yearly aggregate loss estimators. Journal of Risk and Insurance 45:27-52. *Cummins, J. D., G. Dionne, and L. Maistre. 1987. Application of the GB2 family of distributions in collective risk theory. University of Pennsylvania: Mimeographed manuscript. Hogg, R. V. and S. A. Klugman. 1983. On the estimation of long tailed skewed distributions with actuarial applications.