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Bonus-Malus Systems in Automobile Insurance
Most insurers around the world have introduced some form of merit-rating in automobile third party liability insurance. Such systems, penalizing at-fault accidents by premium surcharges and rewarding claim-free years by discounts, are called bonus-malus systems (BMS) in Europe and Asia. With the current deregulation trends that concern most insurance markets around the world, many companies will need to develop their own BMS. The main objective of the book is to provide them models to design BMS that meet their objectives.
Part I of the book contains an overall presentation of the pros and cons of merit-rating, a case study and a review of the different probability distributions that can be used to model the number of claims in an automobile portfolio. In Part II, 30 systems from 22 different countries, are evaluated and ranked according to their ‘toughness' towards policyholders. Four tools are created to evaluate that toughness and provide a tentative classification of all systems. Then, factor analysis is used to aggregate and summarize the data, and provide a final ranking of all systems. Part III is an up-to-date review of all the probability models that have been proposed for the design of an optimal BMS. The application of these models would enable the reader to devise the system that is ideally suited to the behavior of the policyholders of his own insurance company. Finally, Part IV analyses an alternative to BMS; the introduction of a policy with a deductible.
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Bonus-Malus Systems in Automobile Insurance
Most insurers around the world have introduced some form of merit-rating in automobile third party liability insurance. Such systems, penalizing at-fault accidents by premium surcharges and rewarding claim-free years by discounts, are called bonus-malus systems (BMS) in Europe and Asia. With the current deregulation trends that concern most insurance markets around the world, many companies will need to develop their own BMS. The main objective of the book is to provide them models to design BMS that meet their objectives.
Part I of the book contains an overall presentation of the pros and cons of merit-rating, a case study and a review of the different probability distributions that can be used to model the number of claims in an automobile portfolio. In Part II, 30 systems from 22 different countries, are evaluated and ranked according to their ‘toughness' towards policyholders. Four tools are created to evaluate that toughness and provide a tentative classification of all systems. Then, factor analysis is used to aggregate and summarize the data, and provide a final ranking of all systems. Part III is an up-to-date review of all the probability models that have been proposed for the design of an optimal BMS. The application of these models would enable the reader to devise the system that is ideally suited to the behavior of the policyholders of his own insurance company. Finally, Part IV analyses an alternative to BMS; the introduction of a policy with a deductible.
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Bonus-Malus Systems in Automobile Insurance

Bonus-Malus Systems in Automobile Insurance

by Jean Lemaire
Bonus-Malus Systems in Automobile Insurance

Bonus-Malus Systems in Automobile Insurance

by Jean Lemaire

Overview

Most insurers around the world have introduced some form of merit-rating in automobile third party liability insurance. Such systems, penalizing at-fault accidents by premium surcharges and rewarding claim-free years by discounts, are called bonus-malus systems (BMS) in Europe and Asia. With the current deregulation trends that concern most insurance markets around the world, many companies will need to develop their own BMS. The main objective of the book is to provide them models to design BMS that meet their objectives.
Part I of the book contains an overall presentation of the pros and cons of merit-rating, a case study and a review of the different probability distributions that can be used to model the number of claims in an automobile portfolio. In Part II, 30 systems from 22 different countries, are evaluated and ranked according to their ‘toughness' towards policyholders. Four tools are created to evaluate that toughness and provide a tentative classification of all systems. Then, factor analysis is used to aggregate and summarize the data, and provide a final ranking of all systems. Part III is an up-to-date review of all the probability models that have been proposed for the design of an optimal BMS. The application of these models would enable the reader to devise the system that is ideally suited to the behavior of the policyholders of his own insurance company. Finally, Part IV analyses an alternative to BMS; the introduction of a policy with a deductible.

Product Details

ISBN-13: 9789401042758
Publisher: Springer Netherlands
Publication date: 10/04/2012
Series: Huebner International Series on Risk, Insurance and Economic Security , #19
Edition description: Softcover reprint of the original 1st ed. 1995
Pages: 285
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

1 Introduction: Models for Claim Number Distributions.- 1 Introduction: Definition of a Bonus-Malus System.- 2 A Typical Bonus-Malus Evolution: The Belgian Case.- 3 Models for the Claim Number Distribution.- 2 Evaluation of Bonus-Malus Systems.- 4 Tool 1: The Relative Stationary Average Level.- 5 Tool 2: The Coefficient of Variation of the Insured’s Premiums.- 6 Tool 3: The Elasticity of the Bonus-Malus System.- 7 Tool 4: The Average Optimal Retention.- 8 An Index of Toughness.- 9 Comments for Specific Countries. Rate of Convergence.- 3 The Design of an Optimal Bonus-Malus System.- 10 Construction of an Optimal System. Expected Value Principle.- 11 Other Loss Functions. Other Premium Calculation Principles.- 12 Penalization of Overcharges.- 13 Allowance for the Severity of Claims.- 14 The Effect of Expense Loadings.- 4 An Alternative Proposal: A High Deductible.- 15 A High-Deductible System.- 16 Empirical Determination of the Deductible.- References.- Author Index.- About the Author.
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