A nested stochastic model for evaluating required capital of guaranteed minimum surrender benefit (GMSB)

Interest rate-linked insurance contracts with an embedded Guaranteed Minimum Surrender Benefit (GMSB) option are exposed to market risks, such as interest rate fluctuations.To prevent significant losses caused by policyholders exercising their surrender options during economic downturns and low-interest-rate environments, insurance companies must hold available capital exceeding the required capital.To calculate this required capital for GMSB, which generally does not have a closed-form solution, a scenario-based approach can be used.This involves valuing the GMSB payout under different real-world outer scenarios.A nested stochastic model refers to a framework that values GMSB using inner scenarios embedded within outer scenarios.This study applies the nested stochastic modeling methodology to the calculation of required capital for GMSB guarantees, empirically analyzing the probability distribution of future GMSB values.Additionally, the study evaluates GMSB valuations under various conditions.The analysis reveals that GMSB values are negatively skewed and inversely correlated with interest rates.As the time horizon lengthens, both guarantee costs and required capital increase.Furthermore, as the policyholder's entry age increases, uncertainty rises, leading to a higher required capital ratio.

Authors

Institutions

Publication Details

Journal
Communications for Statistical Applications and Methods
Published
2026-01-30
DOI
https://doi.org/10.29220/csam.2026.33.1.111
Primary Topic
Capital Investment and Risk Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A nested stochastic model for evaluating required capital of guaranteed minimum surrender benefit (GMSB)

Yang Ho Choi, Hyunoo Shim, Hyungkeun Kim
Communications for Statistical Applications and Methods
Capital Investment and Risk Analysis
article

A nested stochastic model for evaluating required capital of guaranteed minimum surrender benefit (GMSB)

Yang Ho Choi, Hyunoo Shim, Hyungkeun Kim
article en

Abstract

Interest rate-linked insurance contracts with an embedded Guaranteed Minimum Surrender Benefit (GMSB) option are exposed to market risks, such as interest rate fluctuations.To prevent significant losses caused by policyholders exercising their surrender options during economic downturns and low-interest-rate environments, insurance companies must hold available capital exceeding the required capital.To calculate this required capital for GMSB, which generally does not have a closed-form solution, a scenario-based approach can be used.This involves valuing the GMSB payout under different real-world outer scenarios.A nested stochastic model refers to a framework that values GMSB using inner scenarios embedded within outer scenarios.This study applies the nested stochastic modeling methodology to the calculation of required capital for GMSB guarantees, empirically analyzing the probability distribution of future GMSB values.Additionally, the study evaluates GMSB valuations under various conditions.The analysis reveals that GMSB values are negatively skewed and inversely correlated with interest rates.As the time horizon lengthens, both guarantee costs and required capital increase.Furthermore, as the policyholder's entry age increases, uncertainty rises, leading to a higher required capital ratio.

Communications for Statistical Applications and MethodsVol. 33(1)
Hanyang University (KR)
Hanyang University
Openalex Percentile: Top 75%
Capital Investment and Risk Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A nested stochastic model for evaluating required capital of guaranteed minimum surrender benefit (GMSB) — Yang Ho Choi, Hyunoo Shim, et al. · Communications for Statistical Applications and Methods (2026) | TGRS Research Map | TGRS