Pricing Variable Annuity Contract with GMAB Guarantee Under a Regime Switching Local Volatility Model
Sarfraz Mohammad (),
Viswanathan Arunachalam () and
Dharmaraja Selvamuthu ()
Additional contact information
Sarfraz Mohammad: IIT Delhi
Viswanathan Arunachalam: Universidad Nacional de Colombia
Dharmaraja Selvamuthu: IIT Delhi
Computational Economics, 2025, vol. 66, issue 2, No 22, 1603-1624
Abstract:
Abstract This article investigates the pricing of variable annuity guarantees, with particularly emphasising on the Guaranteed Minimum Accumulation Benefit (GMAB) with several embedded options, like roll-up and ratchet. A continuous time model that integrates regime switching dynamics into the local volatility is proposed for the contract’s pricing. As local volatility pioneered by Deelstra and Rayée (2013), on their proposed model by explicitly introducing the regime switching components into the local volatility. Model calibration and valuation are performed through the application of Monte Carlo simulations and Gaussian Process Regression methodologies. For the illustration of the capability of this model and some possible improvements in the model, a numerical and sensitivity analysis is conducted. Uses an empirical test on historical S&P500 Index data to illustrate its practical implications. The results showed that time to maturity, interest rates, and volatilities significantly impact the pricing, and it also illustrates the proposed approach’s accuracy and computational efficiency.
Keywords: Regime switching; Local volatility; Machine learning; Variable annuity guarantees; Monte Carlo method; C02; C34; E17; G17; G22 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10614-024-10764-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:66:y:2025:i:2:d:10.1007_s10614-024-10764-5
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-024-10764-5
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().