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Risk Classification in Natural Catastrophe Insurance: The Case of Italy

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  • Donatella Porrini

Abstract

The role of risk classification as a remedy for asymmetric information market failure is widely recognized and adverse selection is commonly expected to cause market failure also in natural disaster insurance market. Actually, natural catastrophe insurance is a hot topic for the fact that national governments need to build a system to face the high cost of disaster assistance and damage compensation. But an efficient natural disaster insurance is based also on a coherent risk classification and this is the key point of the paper. We argue that issues of risk classification should be a major concern in the design of natural disaster insurance, especially in countries, such as Italy, with a so low penetration of this kind of insurance. The paper is structured as follows. Section 2 provides information on the Italian NatCat insurance. Section 3 describes risk classification looking at the demand side of the market. Section 4 analyses adverse selection in NatCat insurance market and the role of risk classification. Section 5 concludes.

Suggested Citation

  • Donatella Porrini, 2016. "Risk Classification in Natural Catastrophe Insurance: The Case of Italy," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 7(1), pages 39-49, January.
  • Handle: RePEc:jfr:ijfr11:v:7:y:2016:i:1:p:39-49
    DOI: 10.5430/ijfr.v7n1p39
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    Cited by:

    1. Muhsin Tamturk & Dominic Cortis & Mark Farrell, 2020. "Examining the Effects of Gradual Catastrophes on Capital Modelling and the Solvency of Insurers: The Case of COVID-19," Risks, MDPI, vol. 8(4), pages 1-13, December.
    2. Francesco De Masi & Donatella Porrini, 2018. "Vulnerability to Natural Disasters and Insurance: Insights from the Italian Case," IJFS, MDPI, vol. 6(2), pages 1-12, June.

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