Journal of Computational and Applied Mathematics2022,Vol.40418.DOI:10.1016/j.cam.2021.113922

Pricing equity-linked life insurance contracts with multiple risk factors by neural networks

Barigou, Karim Delong, Lukasz
Journal of Computational and Applied Mathematics2022,Vol.40418.DOI:10.1016/j.cam.2021.113922

Pricing equity-linked life insurance contracts with multiple risk factors by neural networks

Barigou, Karim 1Delong, Lukasz2
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作者信息

  • 1. Univ Lyon 1
  • 2. SGH Warsaw Sch Econ
  • 折叠

Abstract

This paper considers the pricing of equity-linked life insurance contracts with death and survival benefits in a general model with multiple stochastic risk factors: interest rate, equity, volatility, unsystematic and systematic mortality. We price the equity-linked contracts by assuming that the insurer hedges the risks to reduce the local variance of the net asset value process and requires a compensation for the non-hedgeable part of the liability in the form of an instantaneous standard deviation risk margin. The price can then be expressed as the solution of a system of non-linear partial differential equations. We reformulate the problem as a backward stochastic differential equation with jumps and solve it numerically by the use of efficient neural networks. Sensitivity analysis is performed with respect to initial parameters and an analysis of the accuracy of the approximation of the true price with our neural networks is provided. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Equity-linked contracts/Neural networks/BSDEs with jumps/Stochastic mortality/Heston stochastic volatility/Hull-White stochastic interest rates/PARTIAL-DIFFERENTIAL-EQUATIONS/GUARANTEED MINIMUM BENEFITS/MERGING ACTUARIAL JUDGMENT/WITHDRAWAL BENEFITS/STOCHASTIC VOLATILITY/INTEREST-RATES/MORTALITY/VALUATION/INVESTMENT

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量1
参考文献量39
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