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Notes: Sumario: As insurance businesses have become increasingly complex, so have the quantitative models used to describe them. Sensitivity analysis encompasses an array of techniques for generating insights into models, stressing assumptions and determining what the key model inputs are. Such analyses, while crucial for model validation, can be computationally demanding. For simulation models like those used in capital modelling, sensitivity analysis entails generating repeated sets of simulations a process that can be frustratingly time consuming. Moreover, a robust way of interpreting the results of sensitivity analyses is sometimes lacking. Consequently, the fruits of modellers' labours may end up languishing in an appendix, rather than generating value for their organisations.Related records: En: The Actuary : the magazine of the Institute & Faculty of Actuaries. - London : Redactive Publishing, 2019-. - 02/03/2020 Número 2 - marzo 2020 , p. 24-27Materia / lugar / evento: Empresas de seguros Modelos de simulación Métodos cuantitativos Modelos actuariales Sensibilidad Otros autores: Pesenti, Silvana
Bettini, Alberto
Millossovich, Pietro
Tsanakas, Andreas
Other categories: 6

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