局部波动率框架下可变年金担保定价

Grégory Rayée, G. Deelstra
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引用次数: 13

摘要

本文研究了可变年金担保的价格,特别是保证年金期权(Guaranteed Annuity Options, GAO)和保证最低收入收益(Guaranteed Minimum Income Benefit, GMIB),并在衍生品定价模型的设置下进行了研究,其中标的现货(基金)局部受具有局部波动的几何布朗运动控制,而利率遵循Hull-White单因素高斯模型。尽管事实上,在这个框架中,本地波动率取决于一个特别复杂的期望,其中不存在封闭形式的表达式,它既不直接与欧洲看涨价格或其他流动性产品相关,我们在本贡献中提出了不同的方法来校准本地波动率模型。我们进一步比较了三种不同设置下的可变年金担保价格,即本地波动率、随机波动率和结合随机利率的恒定波动率模型,并表明适当的波动率模型对这些长期衍生品很重要。更准确地说,我们比较了使用局部波动率、随机波动率和恒定波动率模型得到的GAO、GMIB Rider和障碍型GAO的价格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pricing Variable Annuity Guarantees in a Local Volatility Framework
In this paper, we study the price of Variable Annuity Guarantees, especially of Guaranteed Annuity Options (GAO) and Guaranteed Minimum Income Benefit (GMIB), and this in the settings of a derivative pricing model where the underlying spot (the fund) is locally governed by a geometric Brownian motion with local volatility, while interest rates follow a Hull-White one-factor Gaussian model. Notwithstanding the fact that in this framework, the local volatility depends on a particularly complicated expectation where no closed-form expression exists and it is neither directly related to European call prices or other liquid products, we present in this contribution different methods to calibrate the local volatility model. We further compare Variable Annuity Guarantee prices obtained in three different settings, namely the local volatility, the stochastic volatility and the constant volatility models all combined with stochastic interest rates and show that an appropriate volatility modelling is important for these long-dated derivatives. More precisely, we compare prices of GAO, GMIB Rider and barrier types GAO obtained by using local volatility, stochastic volatility and constant volatility models.
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