Pricing and Hedging Variable Annuities in a Lévy Market: A Risk Management Perspective
Abdou Kelani and
François Quittard-Pinon
Additional contact information
Abdou Kelani: EM - EMLyon Business School
Post-Print from HAL
Abstract:
Pricing and hedging life insurance contracts with minimum guarantees are major areas of concern for insurers and researchers. In this article, we propose a unified framework for pricing, hedging, and assessing the risk embedded in the guarantees offered by Variable Annuities in a Lévy market. We address these questions from a risk management perspective. This method proves to be fast, accurate, and efficient. For hedging, we use a local risk minimization to provide a concise formula for the optimal hedging ratio. We also consider hedging strategies that use a portfolio of standard options. For assessing risk, we introduce an accumulated discounted loss function that takes mortality, transaction costs, and fees into account. We apply our resulting unified framework to the Minimum Guarantees for Maturity Benefit, Death Benefit, and Accumulation Benefit contracts. We illustrate the whole method with CGMY and Kou processes, which prove to offer a realistic modeling for financial prices. From this application, we draw important practical implications. In particular, we show that the assumption of geometric Brownian motion leads to undervalue the actual economic capital necessary to hedge and gives an illusion of safety.
Date: 2017-03-01
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Published in Journal of Risk and Insurance, 2017, 84 (1), 209-238 p
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:hal:journl:hal-02313300
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().