Risk Management For Insurers

This fully updated user-friendly second edition will quickly help you get to grips with risk management terms and techniques, and how they relate specifically to the insurance industry. It also demonstrates how Solvency II is already shaping the regulatory agenda and its likely impact on the insurance industry.

Examines the concept of risk and explains how to evaluate and manage it. Provides risk financing alternatives. Investigates the fundamental assumptions underlying insurance. Describes the insurance contract.

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th This book is published to commemorate the 50 Anniversary of the S.S. Huebner Foundation for Insurance Education. Administered at the Wharton School of the University of Pennsylvania, the Huebner Foundation was established in 1941 to strengthen insurance education at the collegiate level by increasing the number of professors specializing in insurance and enriching the literature in the field. The financial support of leading life insurance companies has enabled the Foundation to provide post-graduate education for prospective insurance teachers and scholars. Through its fellowship program, the Foundation supports students in the Ph.D. program in Risk and Insurance at the Wharton School. The success of the Foundation is measured by the accomplishments of its alumni. Former Huebner Fellows play leading roles in every major area of insurance education. Fellows teach insurance to tens of thousands of undergraduate and MBA students each year and have written hundreds of books and thousands of articles on insurance. Fellows hold leadership positions at the American College, the Life Office Management Association, and the Certified Employee Benefit Specialist Program. The Foundation was created in honor of Dr. Solomon S. Huebner, a pioneer in insurance education. Dr. Huebner taught the first organized course on the economics of insurance ever offered at the collegiate level in 1904. An internationally recognized author and teacher, Dr. Huebner had a profound impact on both insurance education and the insurance industry. He served on the faculty of the Wharton School for more than nearly fifty years.

Is "risk" the enemy or is it necessary? What is risk management? How does insurance fit into the concept of risk management? This book defines risk, discusses the theory of risk management, details the risk management process, and delves into insurance and its rightful place within risk management and the risk management process. Included in this book are discussions of insurance regulation, negligence theories, theories of legal liability, and the premium audit process and rules. The capstone of this book is the last chapter. This chapter gives readers the 12 "rules" or guidelines necessary to read and understand ANY insurance policy. All experience levels can benefit from the concepts discussed in this book. In fact, even those not in the insurance industry will find this book useful, especially if their job involves managing risk.

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.

Major challenges for life insurance companies have been posed by an unprecedented wave of mergers and acquisitions in the insurance industry and the emergence of non-traditional competitors such as banks, mutual fund companies and investment advisory firms. This is the first book to analyze the determinants of firm performance in the life insurance industry by identifying the `best practices' employed by leading insurers to succeed in this dynamic business environment. The book draws upon data from insurer financial statements as well as upon an extensive survey of life insurer management practices and strategic choices in distribution systems, information technology, mergers and acquisitions, human resources and financial strategies. Generic strategies such as cost leadership, customer focus, and product differentiation are analyzed as well as strategic practices specific to the insurance industry. Best practices are identified by measuring the economic efficiency of insurers and by comparing firms across the industry. Both cost and revenue efficiency are measured relative to best practice efficient frontiers consisting of the industry's dominant life insurance firms. Economies of scale and the effects of mergers and acquisitions on efficiency are also analyzed. Financial strategies are examined with specific reference to pricing policy, valuation of assets and liabilities, and the current state of firm-level risk management systems. The benchmarks established are the result of extensive fieldwork that identifies key financial risks and methodologies to both measure and manage them at the firm level. The results discussed in the book indicate that firm performance is significantly correlated with management practices and strategic choices. Thus, life insurers can improve profitability by adopting optimal combinations of strategies. The book contains important new material on the effects of strategic choices in product distribution systems, information technology, mergers and acquisitions, human resources, and financial risk management policies. In the area of efficiency, the methodology provides a new approach for identifying peer groups of insurers and measuring the performance of individual insurers relative to their peer group. On the topics of risk and pricing, new insights are offered relative to current methodologies and in regard to areas where improvement is clearly warranted. The book concludes with an analysis of the future opportunities and challenges in the life insurance industry facing managers, and the strategic options available to them to cope with these changes.

The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.

A practical approach to ART-an alternative method by which companies take on various types of risk This comprehensive book shows readers what ART is, how it can be used to mitigate risk, and how certain instruments/structures associated with ART should be implemented. Through numerous examples and case studies, readers will learn what actually works and what doesn't when using this technique. Erik Banks (CT) joined XL Capital's weather/energy risk management subsidiary, Element Re, as a Partner and Chief Risk Officer in 2001.