Pesquisa de referências

Dynamic modeling of public and private decision-making for hurricane risk management including insurance, acquisition, and mitigation policy

Recurso electrónico / Electronic resource
Registro MARC
Tag12Valor
LDR  00000cab a2200000 4500
001  MAP20220018609
003  MAP
005  20220624132109.0
008  220624e20220606esp|||p |0|||b|spa d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎7
24500‎$a‎Dynamic modeling of public and private decision-making for hurricane risk management including insurance, acquisition, and mitigation policy‎$c‎Cen Guo...[et.al.]
520  ‎$a‎We develop a computational framework for the stochastic and dynamic modeling of regional natural catastrophe losses with an insurance industry to support government decision-making for hurricane risk management. The analysis captures the temporal changes in the building inventory due to the acquisition (buyouts) of high-risk properties and the vulnerability of the building stock due to retrofit mitigation decisions. The system is comprised of a set of interacting models to (1) simulate hazard events; (2) estimate regional hurricane-induced losses from each hazard event based on an evolving building inventory; (3) capture acquisition offer acceptance, retrofit implementation, and insurance purchase behaviors of homeowners; and (4) represent an insurance market sensitive to demand with strategically interrelated primary insurers. This framework is linked to a simulation-optimization model to optimize decision-making by a government entity whose objective is to minimize region-wide hurricane losses. We examine the effect of different policies on homeowner mitigation, insurance take-up rate, insurer profit, and solvency in a case study using data for eastern North Carolina. Our findings indicate that an approach that coordinates insurance, retrofits, and acquisition of high-risk properties effectively reduces total (uninsured and insured) losses.
650 4‎$0‎MAPA20080591182‎$a‎Gerencia de riesgos
650 4‎$0‎MAPA20080551254‎$a‎Huracanes
650 4‎$0‎MAPA20080588434‎$a‎Toma de decisiones
650 4‎$0‎MAPA20080586447‎$a‎Modelo estocástico
7730 ‎$w‎MAP20077001748‎$g‎06/06/2022 Tomo 25 Número 2 - 2022 , p. 173-199‎$x‎1098-1616‎$t‎Risk management & insurance review‎$d‎Malden, MA : The American Risk and Insurance Association by Blackwell Publishing, 1999-