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Pricing and Hedging GMWB in the Heston and in the Black-Scholes with Stochastic Interest Rate Models

Ludovic Goudenege
•
Andrea Molent
•
ZANETTE, Antonino
2019
  • journal article

Periodico
COMPUTATIONAL MANAGEMENT SCIENCE
Abstract
Valuing Guaranteed Minimum Withdrawal Benefit (GMWB) has attracted significant attention from both the academic field and real world financial markets. As remarked by Yang and Dai cite{YD}, the Black and Scholes framework seems to be inappropriate for such a long maturity products. Also Chen Vetzal and Forsyth in cite{CVF} showed that the price of these products is very sensitive to interest rate and volatility parameters. We propose here to use a stochastic volatility model (Heston model) and a Black Scholes model with stochastic interest rate (Hull White model). For this purpose we present four numerical methods for pricing GMWB variables annuities: a hybrid tree-finite difference method and a Hybrid Monte Carlo method, an ADI finite difference scheme, and a Standard Monte Carlo method. These methods are used to determine the no-arbitrage fee for the most popular versions of the GMWB contract, and to calculate the Greeks used in hedging. Both constant withdrawal, optimal surrender and optimal withdrawal strategies are considered. Numerical results are presented which demonstrate the sensitivity of the no-arbitrage fee to economic, contractual and longevity assumptions.
DOI
10.1007/s10287-018-0304-2
WOS
WOS:000458627300010
Archivio
http://hdl.handle.net/11390/1078672
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85046029355
Diritti
closed access
Soggetti
  • Variable Annuities, s...

Scopus© citazioni
6
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
9
Data di acquisizione
Mar 22, 2024
Visualizzazioni
10
Data di acquisizione
Apr 19, 2024
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