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.

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.

Information on the types of these securities and the issues involved in their structuring, pricing, trading, and managing on a portfolio basis.

This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing in part to current research topics, it can potentially replace other textbooks on basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the particular topics in mind, the book may serve as a source for introductory courses to insurance mathematics for non-specialists, advanced courses for actuarial students, or courses on probabilistic aspects of risk. It will also be useful for practitioners and students/researchers in related areas such as finance and statistics who wish to get an overview of the general area of mathematical modeling and analysis in insurance.

"Risk being its raw material, insurance has developed various techniques of valuation and risk transfer. Nowadays, these techniques - and first of all reinsurance, the favourite way of transferring risk- are entirely reassessed considering the development of Corporate Finance theory. Therefore, the approach retained here, originally for the actuarial course at Ensae, Paris may surprise some readers and students as it proposes a extended view of risk. We cover not only the mathematical aspects of Risk Management but also other fields relevant for Risk Management from economy or finance. We aim here at making bridges between all these fields through practical application to cat and life risk-management."--

This title examines traditional insurance risks such as earthquakes, storms, terrorist attacks, and other disasters. It begins with a discussion of how the risk of such 'acts of God and men' impact on our lives, health, and possessions. It then proceeds to introduce the statistical techniques necessary for analysing these uncertainties. The book guides readers through the methods available for identifying and measuring such risks, financing their consequences, and forecasting their future behaviour (within the limits of science).

In the 1970's, the research agenda in insurance was dominated by optimal insurance coverage, security design, and equilibrium under conditions of imperfect information. The 1980's saw a growth of theoretical developments including non-expected utility, price volatility, retention capacity, the pricing and design of insurance contracts in the presence of multiple risks, and the liability insurance crisis. The empirical study of information problems, financial derivatives, and large losses due to catastrophic events dominated the research agenda in the 1990's. The Handbook of Insurance provides a single reference source on insurance for professors, researchers, graduate students, regulators, consultants, and practitioners, that reviews the research developments in insurance and its related fields that have occurred over the last thirty years. The book starts with the history and foundations of insurance theory and moves on to review asymmetric information, risk management and insurance pricing, and the industrial organization of insurance markets. The book ends with life insurance, pensions, and economic security. Each chapter has been written by a leading authority in insurance, all contributions have been peer reviewed, and each chapter can be read independently of the others.