Guaranteed minimum withdrawal benefits with high-water mark fee structure.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 11 10 2023
accepted: 10 04 2024
medline: 21 5 2024
pubmed: 21 5 2024
entrez: 21 5 2024
Statut: epublish

Résumé

The Guaranteed Minimum Withdrawal Benefit (GMWB), an adjunct incorporated within variable annuities, commits to reimbursing the entire initial investment regardless of the performance of the underlying funds. While extensive research exists in financial and actuarial literature regarding the modeling and valuation techniques of GMWBs, much of it is founded on a static fee structure. Our study introduces an innovative fee structure based on the high-water mark (HWM) principle and a regime-switch jump-diffusion model for the pricing of GMWBs, employing numerical solutions through the Monte Carlo method for solving the stochastic differential equation (SDE). Furthermore, a companion piece of research addresses the risk management of GMWBs within the same analytical framework as the pricing component, an aspect that has received limited attention in the existing literature. In assessing the necessary capital reserves for unforeseen losses, our methodology involves the computation of two risk metrics associated with the tail distribution of net liability from the insurer's perspective, Value-at-Risk (VaR) and Conditional-Tail-Expectation (CTE). Comprehensive numerical results and sensitivity analyses are also provided.

Identifiants

pubmed: 38771791
doi: 10.1371/journal.pone.0302740
pii: PONE-D-23-33228
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0302740

Informations de copyright

Copyright: © 2024 Han et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Yichen Han (Y)

School of Statistics, East China Normal University, Shanghai, China.

Lianxia Wu (L)

Population Research Institute in School of Social Development, East China Normal University, Shanghai, China.

Dongchen Li (D)

School of Statistics, East China Normal University, Shanghai, China.

Jiaqi Han (J)

School of Mathematical Sciences, Fudan University, Shanghai, China.

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