Joint Extremes in Temperature and Mortality: A Bivariate POT Approach

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<dc:creator>Li, Han</dc:creator>
<dc:creator>Tang, Qihe</dc:creator>
<dc:date>2022-03-07</dc:date>
<dc:description xml:lang="es">Sumario: This article contributes to insurance risk management by modeling extreme climate risk and extreme mortality risk in an integrated manner via extreme value theory (EVT). We conduct an empirical study using monthly temperature and death data in the United States and find that the joint extremes in cold weather and old-age death counts exhibit the strongest level of dependence. Based on the estimated bivariate generalized Pareto distribution, we quantify the extremal dependence between death counts and temperature indexes. Methodologically, we employ the cutting-edge multivariate peaks over threshold (POT) approach, which is readily applicable to a wide range of topics in extreme risk management.

</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/179065.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Mortalidad</dc:subject>
<dc:subject xml:lang="es">Riesgo</dc:subject>
<dc:subject xml:lang="es">Cambio climático</dc:subject>
<dc:subject xml:lang="es">Gerencia de riesgos</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Joint Extremes in Temperature and Mortality: A Bivariate POT Approach</dc:title>
<dc:relation xml:lang="es">En: North American actuarial journal. - Schaumburg : Society of Actuaries, 1997- = ISSN 1092-0277. - 07/03/2022 Tomo 26 Número 1 - 2022 , p. 43-63</dc:relation>
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