A Closed-Form Model-Free Implied Volatility Formula through Delta Families

Zhenyu Cui, J. Kirkby, D. Nguyen, Stephen Michael Taylor
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引用次数: 4

Abstract

In this article, we derive a closed-form explicit model-free formula for the (Black-Scholes) implied volatility. The method is based on the novel use of the Dirac Delta function, corresponding delta families, and the change of variable technique. The formula is expressed through either a limit or as an infinite series of elementary functions, and we establish that the proposed formula converges to the true implied volatility value. In numerical experiments, we verify the convergence of the formula, and consider several benchmark cases, for which the data-generating processes are respectively the stochastic volatility inspired model, and the stochastic alpha beta rho model. We also establish an explicit formula for the implied volatility expressed directly in terms of respective model parameters, and use the Heston model to illustrate this idea. The delta family and change of variable technique that we develop are of independent interest and can be used to solve inverse problems arising in other applications. TOPIC: Derivatives Key Findings ▪ A novel closed-form representation of the Black-Scholes implied volatility is developed by utilizing a delta-family technique. ▪ Convergence and error analyses of approximate forms of this representations are presented. ▪ This technique is applied to the parametric SVI and SABR models as well as the stochastic volatility Heston model.
一个通过Delta族的无封闭模型隐含波动率公式
本文推导了(Black-Scholes)隐含波动率的闭式显式无模型公式。该方法基于Dirac-Delta函数的新颖使用、相应的Delta族以及变量技术的变化。该公式通过极限或无穷级数的初等函数表示,我们证明了所提出的公式收敛于真实的隐含波动率值。在数值实验中,我们验证了公式的收敛性,并考虑了几个基准情况,其中数据生成过程分别是随机波动启发模型和随机α-β-ρ模型。我们还建立了隐含波动率的显式公式,直接用各自的模型参数表示,并使用赫斯顿模型来说明这一观点。我们开发的delta族和变分技术具有独立的兴趣,可以用于解决其他应用中出现的反问题。主题:衍生品关键发现▪ 利用delta族技术,提出了一种新的Black-Scholes隐含波动率的闭式表示。▪ 给出了这种表示的近似形式的收敛性和误差分析。▪ 该技术应用于参数SVI和SABR模型以及随机波动性Heston模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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11
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24 weeks
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