Incorporating climate change projections into risk measures of index-based insurance

Imagen del registro
Registro MARC
Tag12Valor
LDR  00000cab a2200000 4500
001  MAP20200040293
003  MAP
005  20210104134824.0
008  201228e20201201usa|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
100  ‎$0‎MAPA20200024507‎$a‎Jin, Zhuoli
24510‎$a‎Incorporating climate change projections into risk measures of index-based insurance‎$c‎Zhuoli Jin, Robert J. Erhardt
520  ‎$a‎We use regional climate model projections to quantify long-term projected changes to risk measures for an example set of temperature indexbased insurance products in California. This region is a major agricultural producer for the United States and the world. The climate model projections are an ensemble of six regional climate model runs obtained from the North American Regional Climate Change Assessment Program. Hindcasts for the period of 19712000 are compared to historical observed temperature data for bias and variance corrections. Adjusted future model projections are used to estimate distributions of cooling degree days for 20412070, which are then used to estimate risk measures for index-based insurance products to demonstrate the scale of changes that climate models project through mid-century in actuarial terms. More broadly, this article provides an illustration of the use of climate data products to explore actuarial risks.
650 4‎$0‎MAPA20130014791‎$a‎Proyecciones
650 4‎$0‎MAPA20080574932‎$a‎Cambio climático
650 4‎$0‎MAPA20080592011‎$a‎Modelos actuariales
650 4‎$0‎MAPA20090039629‎$a‎Riesgo actuarial
651 1‎$0‎MAPA20080638337‎$a‎Estados Unidos
7001 ‎$0‎MAPA20140024902‎$a‎Erhardt, Robert J.
7730 ‎$w‎MAP20077000239‎$t‎North American actuarial journal‎$d‎Schaumburg : Society of Actuaries, 1997-‎$x‎1092-0277‎$g‎01/12/2020 Tomo 24 Número 4 - 2020 , p. 611-625