Búsqueda

Algorithmic insurable risk portfolios

Registro MARC
Tag12Valor
LDR  00000cab a2200000 4500
001  MAP20260012292
003  MAP
005  20260422174148.0
008  260421e20260316esp|||p |0|||b|spa d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎20
100  ‎$0‎MAPA20100048740‎$a‎Frees, Edward W.
24510‎$a‎Algorithmic insurable risk portfolios‎$c‎Edward W. Frees, Adam Butt and Peng Shi
520  ‎$a‎This article proposes an algorithmic framework for the management of insurable risk portfolios using constrained optimization techniques, inspired by Markowitz's portfolio theory. The approach makes it possible to determine optimal levels of risk retention and risk transfer by considering measures such as Value at Risk and Expected Shortfall. A methodology based on simulation and multivariate risk measures is developed, applicable to the non-linear risks commonly encountered in insurance. The model is illustrated through a case study of a large organization, showing how the results complement expert decision-making in risk management. In addition, the robustness of the model and its sensitivity to different assumptions are analyzed
650 4‎$0‎MAPA20080591182‎$a‎Gerencia de riesgos
650 4‎$0‎MAPA20080598778‎$a‎Retención de riesgos
650 4‎$0‎MAPA20080615673‎$a‎Transferencia de riesgos
650 4‎$0‎MAPA20080552367‎$a‎Reaseguro
650 4‎$0‎MAPA20080563448‎$a‎Modelización
7001 ‎$0‎MAPA20260007342‎$a‎Butt, Adam
7001 ‎$0‎MAPA20100048726‎$a‎Shi, Peng
7730 ‎$w‎MAP20077000239‎$g‎16/03/2026 Tomo 30 Número 1 - 2026 , 17 p.‎$x‎1092-0277‎$t‎North American actuarial journal‎$d‎Schaumburg : Society of Actuaries, 1997-