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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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Bibliografski detalji
Glavni autori: Anne-Sophie Krah, Zoran Nikolić, Ralf Korn
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2020-11-01
Serija:Risks
Teme:
Online pristup:https://www.mdpi.com/2227-9091/8/4/116
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