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A Simple Model of Insurance Market Dynamics

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  • Greg Taylor

Abstract

This paper constructs and studies a simple but realistic model of an insurance market. The model has a minimalist construction in the sense that the number of parameters defining it is strictly limited and the elimination of any one of them would destroy its realism. There are 11 essential parameters. Each of the parameters has a physical interpretation. Some determine competitive effects within the market, some barriers to entry, and so on. The effect of each on various aspects of the market is examined in the presence of simulated loss experience. The aspects of the market considered include stability of premium rates, profitability, and market concentration. Some of the parameters are capable of use as regulatory controls. Two parameters, in addition to the original 11, are explicit price controls. Despite its simplicity, the model displays considerably complex behavior. Some results are intuitive, but some are not. For this reason, regulatory controls need to be applied with great caution lest they induce perverse effects, possibly even the reverse of those intended. The effect of the parameters on market behavior is first studied in the absence of catastrophic events from the loss experience. Subsequently, the effect of a single such event is studied.

Suggested Citation

  • Greg Taylor, 2008. "A Simple Model of Insurance Market Dynamics," North American Actuarial Journal, Taylor & Francis Journals, vol. 12(3), pages 242-262.
    • Handle: RePEc:taf:uaajxx:v:12:y:2008:i:3:p:242-262
    DOI: 10.1080/10920277.2008.10597520
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    Cited by:

    1. Boonen, Tim J. & Pantelous, Athanasios A. & Wu, Renchao, 2018. "Non-cooperative dynamic games for general insurance markets," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 123-135.
    2. Iqbal Owadally & Feng Zhou & Douglas Wright, 2018. "The Insurance Industry as a Complex Social System: Competition, Cycles and Crises," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(4), pages 1-2.

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