重新审视局部方差

IF 0.8 4区 经济学 Q4 BUSINESS, FINANCE Journal of Computational Finance Pub Date : 2017-03-17 DOI:10.2139/ssrn.2659728
Markus Falck, M. Deryabin
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引用次数: 2

摘要

本文提出了一种新的外汇期权隐含波动率曲面构造方法。该方法基于Carr(2008)开发的局部方差伽玛模型。我们的方法是在连续五参数扩散函数的假设下解析求解Dupire方程的简化“一步”版本。该方程的唯一解可以解释为期权价格的连续表示,期权价格是为任意大范围的罢工而定义的。导出的价格函数是C^2-正的,通过构造无套利,并且它们不依赖于走线离散化。通过使用最小二乘法,我们将价格函数校准为路透社引用的外汇波动微笑。我们的结果表明,该模型允许非常快速的校准;使用Levenberg-Marquardt算法,我们在标准个人计算机上测量一次到期的平均校准时间到小于1ms。我们还扩展了我们的模型,允许在到期日之间进行插值,并为不存在日历价差套利提供了充分的条件。为了生成整个隐含波动率表面,我们提出了一种简单、快速但市场一致的技术,允许在成熟度维度上对校准的价格函数进行无套利插值。该方法针对欧元-美元和欧元-瑞典克朗期权进行了测试,我们表明该模型有能力产生波动率曲面,该曲面符合市场报价,误差为几个波动率基点。然后,我们将该方法应用于方差掉期的定价。
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Local Variance Gamma Revisited
In this paper we develop a new method for implied volatility surface construction for FX options. The methodology is based on the local variance gamma model developed by Carr (2008). Our approach is to solve a simplified "one-step" version of the Dupire equation analytically under the assumption of a continuous five parameter diffusion function. The unique solution to this equation can be interpreted as a continuous representation of option prices, defined for strikes in an arbitrarily large range. The derived price functions are C^2 -positive, arbitrage-free by construction, and they do not depend on the strike discretization. By using a least-square approach, we calibrate price functions to Reuters quoted FX volatility smiles. Our results suggest that the model allows for very rapid calibration; using a Levenberg-Marquardt algorithm we measure the average calibration time to less than 1 ms for one expiry on a standard personal computer.We also extend our model to allow for interpolation between maturities and present sufficient conditions for absence of calendar spread arbitrage. In order to generate the whole implied volatility surface, we suggest a simple, fast and yet market-consistent technique allowing for arbitrage-free interpolation of calibrated price functions in the maturity dimension.The methodology is tested against EURUSD and EURSEK options, where we show that the model has the capability to produce volatility surfaces which fit market quotes with an error of few volatility basis points. We then apply the methodology to pricing variance swaps.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
8
期刊介绍: The Journal of Computational Finance is an international peer-reviewed journal dedicated to advancing knowledge in the area of financial mathematics. The journal is focused on the measurement, management and analysis of financial risk, and provides detailed insight into numerical and computational techniques in the pricing, hedging and risk management of financial instruments. The journal welcomes papers dealing with innovative computational techniques in the following areas: Numerical solutions of pricing equations: finite differences, finite elements, and spectral techniques in one and multiple dimensions. Simulation approaches in pricing and risk management: advances in Monte Carlo and quasi-Monte Carlo methodologies; new strategies for market factors simulation. Optimization techniques in hedging and risk management. Fundamental numerical analysis relevant to finance: effect of boundary treatments on accuracy; new discretization of time-series analysis. Developments in free-boundary problems in finance: alternative ways and numerical implications in American option pricing.
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