Extreme ATM skew in a local volatility model with discontinuity: joint density approach

IF 1.1 2区 经济学 Q3 BUSINESS, FINANCE
Alexander Gairat, Vadim Shcherbakov
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引用次数: 0

Abstract

This paper concerns a local volatility model in which the volatility takes two possible values, and the specific value depends on whether the underlying price is above or below a given threshold. The model is known, and a number of results have been obtained for it. In particular, option pricing formulas and a power-law behaviour of the implied volatility skew have been established in the case when the threshold is taken at the money. In this paper, we derive an alternative representation of option pricing formulas. In addition, we obtain an approximation of option prices by the corresponding Black–Scholes prices. Using this approximation streamlines obtaining the aforementioned behaviour of the skew. Our approach is based on the natural relationship of the model with skew Brownian motion and consists of the systematic use of the joint distribution of this stochastic process and some of its functionals.

Abstract Image

具有不连续性的局部波动模型中的极端 ATM 倾斜:联合密度法
本文涉及一个局部波动率模型,在该模型中,波动率有两种可能的取值,具体取值取决于标的物价格是高于还是低于给定的临界值。该模型是已知的,并且已经得到了一些结果。特别是,在临界值取为货币时,已经建立了期权定价公式和隐含波动率偏斜的幂律行为。在本文中,我们推导出了期权定价公式的另一种表示方法。此外,我们还通过相应的 Black-Scholes 价格得到了期权价格的近似值。使用这一近似值可以简化上述偏斜行为的获取。我们的方法基于斜布朗运动模型的自然关系,包括系统地使用该随机过程的联合分布及其某些函数。
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来源期刊
Finance and Stochastics
Finance and Stochastics 管理科学-数学跨学科应用
CiteScore
2.90
自引率
5.90%
发文量
20
审稿时长
>12 weeks
期刊介绍: The purpose of Finance and Stochastics is to provide a high standard publication forum for research - in all areas of finance based on stochastic methods - on specific topics in mathematics (in particular probability theory, statistics and stochastic analysis) motivated by the analysis of problems in finance. Finance and Stochastics encompasses - but is not limited to - the following fields: - theory and analysis of financial markets - continuous time finance - derivatives research - insurance in relation to finance - portfolio selection - credit and market risks - term structure models - statistical and empirical financial studies based on advanced stochastic methods - numerical and stochastic solution techniques for problems in finance - intertemporal economics, uncertainty and information in relation to finance.
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