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Persistent link: https://www.econbiz.de/10015055294
In this paper, we test the efficiency of least-squares Monte Carlo method to estimate capital requirements in life insurance. We choose a simplified Gaussian evaluation framework where closed-form formulas are available and allow us to obtain solid benchmarks. Extensive numerical experiments...
Persistent link: https://www.econbiz.de/10013200582
This paper addresses the problem of approximating the future value distribution of a large and heterogeneous life insurance portfolio which would play a relevant role, for instance, for solvency capital requirement valuations. Based on a metamodel, we first select a subset of representative...
Persistent link: https://www.econbiz.de/10013200841
Persistent link: https://www.econbiz.de/10009716279
Persistent link: https://www.econbiz.de/10010227933
Persistent link: https://www.econbiz.de/10009517565
This paper addresses the problem of approximating the future value distribution of a large and heterogeneous life insurance portfolio which would play a relevant role, for instance, for solvency capital requirement valuations. Based on a metamodel, we first select a subset of representative...
Persistent link: https://www.econbiz.de/10012632215
Persistent link: https://www.econbiz.de/10012615296
In this paper, we test the efficiency of least-squares Monte Carlo method to estimate capital requirements in life insurance. We choose a simplified Gaussian evaluation framework where closed-form formulas are available and allow us to obtain solid benchmarks. Extensive numerical experiments...
Persistent link: https://www.econbiz.de/10012292830
Persistent link: https://www.econbiz.de/10008882338