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

Zhenyu Cui,Justin Kirkby,Duy Nguyen,Stephen Taylor
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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.
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基于Delta族的闭式无模型隐含波动率公式
在本文中,我们推导了(Black-Scholes)隐含波动率的一个封闭形式的显式无模型公式。该方法是基于狄拉克函数、相应的函数族和变量变换技术的新颖应用。该公式通过极限或无限初等函数级数表示,并证明了该公式收敛于真实隐含波动率值。在数值实验中验证了公式的收敛性,并考虑了几种基准情况,其中数据生成过程分别是随机波动激励模型和随机α - β - rho模型。我们还建立了直接用各自模型参数表示的隐含波动率的显式公式,并使用Heston模型来说明这一思想。我们开发的delta族和变量变换技术具有独立的意义,可用于解决其他应用中出现的逆问题。主题:衍生工具主要发现▪利用delta族技术开发了一种新的Black-Scholes隐含波动率的封闭形式表示。给出了这种表示的近似形式的收敛性和误差分析。▪该技术可应用于参数SVI和SABR模型以及随机波动Heston模型。
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