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.

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.

Non-life insurance pricing is the art of setting the price of an insurance policy, taking into consideration varoius properties of the insured object and the policy holder. Introduced by British actuaries generalized linear models (GLMs) have become today a the standard aproach for tariff analysis. The book focuses on methods based on GLMs that have been found useful in actuarial practice and provides a set of tools for a tariff analysis. Basic theory of GLMs in a tariff analysis setting is presented with useful extensions of standarde GLM theory that are not in common use. The book meets the European Core Syllabus for actuarial education and is written for actuarial students as well as practicing actuaries. To support reader real data of some complexity are provided at www.math.su.se/GLMbook.

A wide range of topics give students a firm foundation in statistical and actuarial concepts and their applications.

Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent misunderstanding in regards to both the purpose and the contents of health insurance products (and ‘protection products’, more generally) on the one hand, and the relevant actuarial structures on the other. In order to cover the basic principles regarding health insurance techniques, the first few chapters in this book are mainly devoted to the need for health insurance and a description of insurance products in this area (sickness insurance, accident insurance, critical illness covers, income protection, long-term care insurance, health-related benefits as riders to life insurance policies). An introduction to general actuarial and risk-management issues follows. Basic actuarial models are presented for sickness insurance and income protection (i.e. disability annuities). Several numerical examples help the reader understand the main features of pricing and reserving in the health insurance area. A short introduction to actuarial models for long-term care insurance products is also provided. Advanced undergraduate and graduate students in actuarial sciences; graduate students in economics, business and finance; and professionals and technicians operating in insurance and pension areas will find this book of benefit.

New York Times bestseller Business Book of the Year--Association of Business Journalists From the New York Times bestselling author comes an eye-opening, urgent look at America's broken health care system--and the people who are saving it--now with a new Afterword by the author. "A must-read for every American." --Steve Forbes, editor-in-chief, FORBES One in five Americans now has medical debt in collections and rising health care costs today threaten every small business in America. Dr. Makary, one of the nation's leading health care experts, travels across America and details why health care has become a bubble. Drawing from on-the-ground stories, his research, and his own experience, The Price We Pay paints a vivid picture of the business of medicine and its elusive money games in need of a serious shake-up. Dr. Makary shows how so much of health care spending goes to things that have nothing to do with health and what you can do about it. Dr. Makary challenges the medical establishment to remember medicine's noble heritage of caring for people when they are vulnerable. The Price We Pay offers a road map for everyday Americans and business leaders to get a better deal on their health care, and profiles the disruptors who are innovating medical care. The movement to restore medicine to its mission, Makary argues, is alive and well--a mission that can rebuild the public trust and save our country from the crushing cost of health care.

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.

A rational look at health care rationing, from ethical, economic, psychological, and clinical perspectives. Although managed health care is a hot topic, too few discussions focus on health care rationing--who lives and who dies, death versus dollars. In this book physician and bioethicist Peter A. Ubel argues that physicians, health insurance companies, managed care organizations, and governments need to consider the cost-effectiveness of many new health care technologies. In particular, they need to think about how best to ration health care. Ubel believes that standard medical training should provide physicians with the expertise to decide when to withhold health care from patients. He discusses the moral questions raised by this position, and by health care rationing in general. He incorporates ethical arguments about the appropriate role of cost-effectiveness analysis in health care rationing, empirical research about how the general public wants to ration care, and clinical insights based on his practice of general internal medicine. Straddling the fields of ethics, economics, research psychology, and clinical medicine, he moves the debate forward from whether to ration to how to ration. The discussion is enlivened by actual case studies.

This text is a comprehensive treatment of all aspects of group insurance in the United States and Canada. It addresses life and health insurance as well as government programs and more specialized forms of insurance. Emphasis is placed on the actuarial aspects of this important field of insurance including pricing, regulation, underwriting, financial reporting, and modeling. Since its original publication in 1992, Group Insurance has become the resource of choice for experts as well as beginners. It is an essential tool for anyone who wishes to practice in the group benefits field. The Sixth Edition has been updated for the industry and regulatory changes which have occurred since 2007. Of particular note is the impact that healthcare reform in the United States will have on all facets of this topic.

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.