Pricing Insurance Risk


Book Description

PRICING INSURANCE RISK A comprehensive framework for measuring, valuing, and managing risk Pricing Insurance Risk: Theory and Practice delivers an accessible and authoritative account of how to determine the premium for a portfolio of non-hedgeable insurance risks and how to allocate it fairly to each portfolio component. The authors synthesize hundreds of academic research papers, bringing to light little-appreciated answers to fundamental questions about the relationships between insurance risk, capital, and premium. They lean on their industry experience throughout to connect the theory to real-world practice, such as assessing the performance of business units, evaluating risk transfer options, and optimizing portfolio mix. Readers will discover: Definitions, classifications, and specifications of risk An in-depth treatment of classical risk measures and premium calculation principles Properties of risk measures and their visualization A logical framework for spectral and coherent risk measures How risk measures for capital and pricing are distinct but interact Why the cost of capital, not capital itself, should be allocated The natural allocation method and how it unifies marginal and risk-adjusted probability approaches Applications to reserve risk, reinsurance, asset risk, franchise value, and portfolio optimization Perfect for actuaries working in the non-life or general insurance and reinsurance sectors, Pricing Insurance Risk: Theory and Practice is also an indispensable resource for banking and finance professionals, as well as risk management professionals seeking insight into measuring the value of their efforts to mitigate, transfer, or bear nonsystematic risk.




Deregulating Property-Liability Insurance


Book Description

Over the past two decades, the United States has successfully deregulated prices and restrictions on most previously-regulated industries, including airlines, trucking, railroads, telecommunications, and banking. Only a few industries remain regulated, the largest being the property-liability insurance business. In light of recent sweeping financial modernization legislation in other sectors of the insurance industry, this timely volume examines the basis for continued regulation of rates and forms of the U.S. property-liability insurance market. The book focuses on private passenger automobile insurance—the most important personal line of property-liability coverage, with annual premiums of about $120 billion. The authors analyze five state case studies: California, Massachusetts, and New Jersey—three of the most heavily regulated states—as well as Illinois, which has been deregulated for about 30 years, and South Carolina, which began to deregulate in 1997. The study also includes an econometric analysis based on all fifty states over a 25-year period that gauges the impact of regulation on insurance price levels, price volatility, and the proportion of automobiles insured in residual markets. The authors conclude that regulation does not significantly reduce long-run prices for consumers, and generally limits availability of coverage, reduces the quality and variety of services available in the market, inhibits productivity growth, and increases price volatility. Contributors include Dwight Jaffee (University of California, Berkeley), Thomas Russell (Santa Clara University ), Laureen Regan (Temple University), Sharon Tennyson (Cornell University), Mary Weiss (Temple University), John Worrall (Rutgers University), Stephen D'Arcy (University of Illinois, Urbana-Champaign), Martin Grace (Georgia State University), Robert Klein (Georgia State University), Richard Phillips (Georgia State University), Georges Dionne (University of Montreal), and Richard Butler (Brigham Young University).







Fundamentals of General Insurance Actuarial Analysis


Book Description

This text introduces the commonly used, basic approaches for reserving and ratemaking in General Insurance. The methods are described through detailed examples that are linked from one chapter to another to illustrate their practical application. Also, professionalism requirements and standards of practice are presented to set the context for the methods and examples.




Pricing in General Insurance


Book Description

Based on the syllabus of the actuarial industry course on general insurance pricing — with additional material inspired by the author’s own experience as a practitioner and lecturer — Pricing in General Insurance presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate. The main strength of this approach is that it imposes a reasonably linear narrative on the material and allows the reader to see pricing as a story and go back to the big picture at any time, putting things into context. Written with both the student and the practicing actuary in mind, this pragmatic textbook and professional reference: Complements the standard pricing methods with a description of techniques devised for pricing specific products (e.g., non-proportional reinsurance and property insurance) Discusses methods applied in personal lines when there is a large amount of data and policyholders can be charged depending on many rating factors Addresses related topics such as how to measure uncertainty, incorporate external information, model dependency, and optimize the insurance structure Provides case studies, worked-out examples, exercises inspired by past exam questions, and step-by-step methods for dealing concretely with specific situations Pricing in General Insurance delivers a practical introduction to all aspects of general insurance pricing, covering data preparation, frequency analysis, severity analysis, Monte Carlo simulation for the calculation of aggregate losses, burning cost analysis, and more.




Catastrophe Insurance


Book Description

1. THE PROBLEM OF CATASTROPHE RISK The risk of large losses from natural disasters in the U.S. has significantly increased in recent years, straining private insurance markets and creating troublesome problems for disaster-prone areas. The threat of mega-catastrophes resulting from intense hurricanes or earthquakes striking major population centers has dramatically altered the insurance environment. Estimates of probable maximum losses (PMLs) to insurers from a mega catastrophe striking the U.S. range up to $100 billion depending on the location and intensity of the event (Applied Insurance Research, 2001).1 A severe disaster could have a significant financial impact on the industry (Cummins, Doherty, and Lo, 2002; Insurance Services Office, 1996a). Estimates of industry gross losses from the terrorist attack on September 11, 2001 range from $30 billion to $50 billion, and the attack's effect on insurance markets underscores the need to understand the dynamics of the supply of and the demand for insurance against extreme events, including natural disasters. Increased catastrophe risk poses difficult challenges for insurers, reinsurers, property owners and public officials (Kleindorfer and Kunreuther, 1999). The fundamental dilemma concerns insurers' ability to handle low-probability, high-consequence (LPHC) events, which generates a host of interrelated issues with respect to how the risk of such events are 1 These probable maximum loss (PML) estimates are based on a SOD-year "return" period.