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Spatial risk measures and applications to max-stable processes

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Abstract

The risk of extreme environmental events is of great importance for both the authorities and the insurance industry. This paper concerns risk measures in a spatial setting, in order to introduce the spatial features of damages stemming from environmental events into the measure of the risk. We develop a new concept of spatial risk measure, based on the spatially aggregated loss over the region of interest, and propose an adapted set of axioms for these spatial risk measures. These axioms quantify the sensitivity of the risk measure with respect to the space and are especially linked to spatial diversification. The proposed model for the cost underlying our definition of spatial risk measure involves applying a damage function to the environmental variable considered. We build and theoretically study concrete examples of spatial risk measures based on the indicator function of max-stable processes exceeding a given threshold. Some interpretations in terms of insurance are provided.

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Authors and Affiliations

  1. ISFA, CREST and ETH Zurich (Department of Mathematics, RiskLab), Rämistrasse 101, 8092, Zurich, Switzerland

    Erwan Koch

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  1. Erwan Koch
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Correspondence to Erwan Koch.

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In the whole paper, insurance refers in particular to reinsurance.

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Koch, E. Spatial risk measures and applications to max-stable processes. Extremes 20, 635–670 (2017). https://doi.org/10.1007/s10687-016-0274-0

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  • DOI: https://doi.org/10.1007/s10687-016-0274-0

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