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9789401042758: Bonus-malus Systems in Automobile Insurance: 19
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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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Contenuti:
List of Figures. List of Tables. Preface. Part I: 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. Appendix I. Part II: Evaluation of Bonus-Malus Systems. 4. Tool #1: The Relative Stationary Average Level. 5. Tool #2: The Coefficient of Variation of the Insured's Premium. 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. Appendix II. Part III: 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. Part IV: An Alternative Proposal: a High Deductible. 15. A High Deductibe System. 16. Empirical Determination of a Deductible. References. Author Index. Subject Index. Main Notations.

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  • EditoreSpringer Verlag
  • Data di pubblicazione2012
  • ISBN 10 9401042756
  • ISBN 13 9789401042758
  • RilegaturaCopertina flessibile
  • Numero di pagine312

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9780792395454: Bonus-Malus Systems in Automobile Insurance: 19

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ISBN 10:  ISBN 13:  9780792395454
Casa editrice: Kluwer Academic Pub, 1995
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Descrizione libro Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . Codice articolo 5831067

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Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9789401042758

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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 312 pp. Englisch. Codice articolo 9789401042758

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