Abstract
AbstractInterest rate is one of the main risks for the liability of the variable annuity (VA) due to its long maturity. However, most existing studies on the risk measures of the VA assume a constant interest rate. In this paper, we propose an efficient two-dimensional willow tree method to compute the liability distribution of the VA with the joint dynamics of the mutual fund and interest rate. The risk measures can then be computed by the backward induction on the tree structure. We also analyze the sensitivity and impact on the risk measures with regard to the market model parameters, contract attributes, and monetary policy changes. It illustrates that the liability of the VA is determined by the long-term interest rate whose increment leads to a decrease in the liability. The positive correlation between the interest rate and mutual fund generates a fat-tailed liability distribution. Moreover, the monetary policy change has a bigger impact on the long-term VAs than the short-term contracts.
Publisher
Cambridge University Press (CUP)
Subject
Economics and Econometrics,Finance,Accounting
Reference46 articles.
1. Yao, Y. and Xu, W. (2020) Willow tree algorithms for pricing exotic derivatives on discrete realized variance under time-changed Lévy process. Working Paper.
2. A Unified Willow Tree Framework for One-Factor Short-Rate Models
3. Willow power: Optimizing derivative pricing trees;Curran;ALGO Research Quarterly,2001
4. Analytic Solution for Return of Premium and Rollup Guaranteed Minimum Death Benefit Options Under Some Simple Mortality Laws
5. Financial valuation of guaranteed minimum withdrawal benefits;Milevsky;Insurance: Mathematics and Economics,2006
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献