Quadrinomial Trees to Value Options in Stochastic Volatility Models

Julian A. Pareja-Vasseur, Freddy H. Marín-Sánchez
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引用次数: 2

Abstract

This article describes in detail the multiplicative quadrinomial tree numerical method with nonconstant volatility, based on a system of stochastic differential equations of the GARCH-diffusion type. The methodology allowed for the derivation of the first two moments of the proposed equations to estimate the respective recombination between discrete and continuous processes and, as a result, a numerical methodological proposal is formally presented to value, with relative ease, both real and financial options, when the volatility is stochastic. The main findings showed that in the proposed method, when volatility approaches zero, the multiplicative binomial traditional method is a particular case, and the results are comparable between these methodologies, as well as to the exact solution offered by the Black–Scholes model. Finally, the originality of the methodological proposal is that it allows for the emulation in a simple way of the presence of a nonconstant volatility in the price of the underlying asset, and it can be used to value all kinds of options both in the real world and in risk-neutral situations. TOPICS: Options, derivatives
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随机波动率模型中价值期权的二次型树
本文在GARCH扩散型随机微分方程组的基础上,详细描述了具有非恒定波动性的乘法多项式树数值方法。该方法允许推导所提出方程的前两个矩,以估计离散过程和连续过程之间的各自重组,因此,当波动性是随机的时,正式提出了一个数值方法建议,以相对容易地评估实物和金融期权。主要研究结果表明,在所提出的方法中,当波动率接近零时,乘法二项式传统方法是一种特殊情况,这些方法之间的结果以及Black-Scholes模型提供的精确解是可比较的。最后,该方法建议的独创性在于,它允许以一种简单的方式模拟基础资产价格中存在的非恒定波动,并且它可以用于对现实世界和风险中性情况下的各种期权进行估值。主题:期权、衍生品
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发文量
11
审稿时长
24 weeks
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