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Least-Squares Monte Carlo for Proxy Modeling in Life Insurance: Neural Networks

The least-squares Monte Carlo method has proved to be a suitable approximation technique for the calculation of a life insurer’s solvency capital requirements. We suggest to enhance it by the use of a neural network based approach to construct the proxy function that models the insurer’s loss with r...

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Autores principales: Anne-Sophie Krah, Zoran Nikolić, Ralf Korn
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2020-11-01
Colección:Risks
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Acceso en línea:https://www.mdpi.com/2227-9091/8/4/116
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