Actuarial Modelling of Claim Counts Risk Classification, Credibility and Bonus-Malus Systems

by ; ; ;
Edition: 1st
Format: Hardcover
Pub. Date: 2007-09-24
Publisher(s): Wiley-Interscience
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Summary

There are a wide range of variables for actuaries to consider when calculating a motorist's insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists' rates are subject to experience rating systems, including credibility mechanisms and Bonus Malus systems (BMSs). Actuarial Modelling of Claim Counts presents a comprehensive treatment of the various experience rating systems and their relationships with risk classification. The authors summarize the most recent developments in the field, presenting ratemaking systems, whilst taking into account exogenous information. The text: Offers the first self-contained, practical approach to a priori and a posteriori ratemaking in motor insurance. Discusses the issues of claim frequency and claim severity, multi-event systems, and the combinations of deductibles and BMSs. Introduces recent developments in actuarial science and exploits the generalised linear model and generalised linear mixed model to achieve risk classification. Presents credibility mechanisms as refinements of commercial BMSs. Provides practical applications with real data sets processed with SAS software. Actuarial Modelling of Claim Counts is essential reading for students in actuarial science, as well as practicing and academic actuaries. It is also ideally suited for professionals involved in the insurance industry, applied mathematicians, quantitative economists, financial engineers and statisticians.

Author Biography

Michel Denuit – Professor, Institute of Actuarial Science, UCL, Belgium.

Michel Denuit is Professor of Statistics and Actuarial Science at the Université Catholique de Louvain, Belgium. His major fields of research are risk theory and stochastic inequalities. He has (co-)authored numerous articles that have appeared in applied and theoretical journals and served as member of the editorial board for several journals (including Insurance: Mathematics and Economics). He is a section editor on Wiley’s Encyclopedia of Actuarial Science, and is the author of two previous books, one of them with Wiley.

Xavier Maréchal – Université Catholique de Louvain, Belgium & CEO of Reacfin, Belgium.

Sandra Pitrebois – Université Catholique de Louvain, Belgium & Secura Belgian Re, Brussels.

Jean-François Walhin – Université Catholique de Louvain, Belgium & Secura Belgian Re, Brussels

Table of Contents

The Evolution of Water Quality Criteria in the United States - 1922-2003
A Management Context For The Statistical Design Of Recreational Contact Water Quality Monitoring Programs
Conceptual Bases for Relating Illness Risk to Indicator Concentrations
On Selecting the Statistical Rationale for Revised EPA Recreational Water Quality Criteria for Bacteria
Sampling Recreational Waters
The Lognormal Distribution and Use of the Geometric Mean and the Arithmetic Mean in Recreational Water Quality Measurement
The EMPACT Beaches: A Case Study in Recreational Water Sampling
Microbial Risk Assessment Modeling
A plausible model to explain concentration-response relationships in randomized controlled trials assessing infectious disease risks from exposure to recreational waters
Statistical sensitivity analysis and water quality
Foreword
Preface
Notation
Modelling Claim Counts
Mixed Poisson Models for Claim Numbers
Introduction
Probabilistic Tools
Poisson Distribution
Mixed Poisson Distributions
Statistical Inference for Discrete Distributions
Numerical Illustration
Further Reading and Bibliographic Notes
Risk Classification
Introduction
Descriptive Statistics for Portfolio A
Poisson Regression Model
Overdispersion
Negative Binomial Regression Model
Poisson-Inverse Gaussian Regression Model
Poisson-LogNormal Regression Model
Risk Classification for Portfolio A
Ratemaking using Panel Data
Further Reading and Bibliographic Notes
Basics of Experience Rating
Credibility Models for Claim Counts
Introduction
Credibility Models
Credibility Formulas with a Quadratic Loss Function
Credibility Formulas with an Exponential Loss Function
Dependence in the Mixed Poisson Credibility Model
Further Reading and Bibliographic Notes
Bonus-Malus Scales
Introduction
Modelling Bonus-Malus Systems
Transition Probabilities
Long-Term Behaviour of Bonus-Malus Systems
Relativities with a Quadratic Loss Function
Relativities with an Exponential Loss Function
Special Bonus Rule
Change of Scale
Dependence in Bonus-Malus Scales
Further Reading and Bibliographic Notes
Advances in Experience Rating
Efficiency and Bonus Hunger
Introduction
Modelling Claim Severities
Measures of Efficiency for Bonus-Malus Scales
Bonus Hunger and Optimal Retention
Further Reading and Bibliographic Notes
Multi-Event Systems
Introduction
Multi-Event Credibility Models
Multi-Event Bonus-Malus Scales
Further Reading and Bibliographic Notes
Bonus-Malus Systems with Varying Deductibles
Introduction
Distribution of the Annual Aggregate Claims
Introducing a Deductible within a Posteriori Ratemaking
Numerical Illustrations
Further Reading and Bibliographic Notes
Transient Maximum Accuracy Criterion
Introduction
Transient Behaviour and Convergence of Bonus-Malus Scales
Quadratic Loss Function
Exponential Loss Function
Numerical Illustrations
Super Bonus Level
Further Reading and Bibliographic Notes
Actuarial Analysis of the French Bonus-Malus System
Introduction
French Bonus-Malus System
Partial Liability
Further Reading and Bibliographic Notes
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

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