Spatial Risk Measurement using some Max-stable Processes

This paper deals with an application of Tukey's max-stable processes to spatial risk measures. The spatial risk measures used here are risk measures constructed on the basis of normalized spatially aggregated loss. In its construction, this risk measure takes extreme risks into account. The measures we obtain offer greater flexibility in modeling spatial dependency structures. In this section, we examine the different properties.