Nonparametric estimation of some dividend problems by Fourier sinc series expansion in the Wiener-Poisson risk model

Marcelin Romeo Noumegni Kenmoe, Jane Akinyi Aduda, Mbele Bidima Martin Le Doux

Abstract


In this paper, we consider some dividend problems in the perturbed compound Poisson risk model (Wiener Process) under constant barrier dividend strategy. We use the Fourier-sinc method to propose the estimators of the expected present dividend payments before ruin and the expected discounted penalty function also called Gerber-Shiu function using a random sample on claim number, individual claim sizes and surplus flow level. We show that our estimators have good convergence rate. We also derive some simulation examples to show the effectiveness of the estimators under finite sample. We simulate many graphs of ours estimators to show that show that our estimators are very closed and converge to the real curve.

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Published: 2023-11-28

How to Cite this Article:

Marcelin Romeo Noumegni Kenmoe, Jane Akinyi Aduda, Mbele Bidima Martin Le Doux, Nonparametric estimation of some dividend problems by Fourier sinc series expansion in the Wiener-Poisson risk model, Math. Finance Lett., 2023 (2023), Article ID 2

Copyright © 2023 Marcelin Romeo Noumegni Kenmoe, Jane Akinyi Aduda, Mbele Bidima Martin Le Doux. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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