具有跳跃扩散和其他列维过程的美国和国外期权定价

IF 0.8 4区 经济学 Q4 BUSINESS, FINANCE Journal of Computational Finance Pub Date : 2018-01-01 DOI:10.21314/jcf.2018.355
Justin Lars Kirkby
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引用次数: 24

摘要

一般来说,不存在为离散监控的奇异期权定价的分析公式,即使是在一个几何布朗运动支配着风险中性标的的情况下。虽然存在为特定合同定价的专门数值算法,但很少有能够普遍应用并取得一致成功的算法。本文通过对最近发展起来的PROJ方法的扩展,发展了一种对早期行权和特殊金融期权定价的通用方法。我们能够通过价值递归有效地获得复杂产品的准确值,包括百慕大/美国期权、百慕大障碍期权、生存概率和信用违约掉期,通过密度递归获得欧洲障碍和回顾/后见之明期权,通过特征函数递归获得算术亚洲期权。本文提出了解决这些问题和相关问题的统一方法。为每种选项类型提供了算法,并演示了收敛性。我们还提供了大量的参考价格,适用于Black-Scholes-Merton、正态反高斯、Kou的双指数跳跃扩散、Variance Gamma、KoBoL/CGMY和Merton的跳跃扩散模型下的外国、美国和欧洲期权。
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American and exotic option pricing with jump diffusions and other Levy processes
In general, no analytical formulas exist for pricing discretely monitored exotic options, even when a geometric Brownian motion governs the risk-neutral underlying. While specialized numerical algorithms exist for pricing particular contracts, few can be applied universally with consistent success and with general Lévy dynamics. This paper develops a general methodology for pricing early exercise and exotic financial options by extending the recently developed PROJ method. We are able to efficiently obtain accurate values for complex products including Bermudan/American options, Bermudan barrier options, survival probabilities and credit default swaps by value recursion, European barrier and lookback/hindsight options by density recursion, and arithmetic Asian options by characteristic function recursion. This paper presents a unified approach to tackling these and related problems. Algorithms are provided for each option type, along with a demonstration of convergence. We also provide a large set of reference prices for exotic, American and European options under Black-Scholes-Merton, Normal Inverse Gaussian, Kou’s double exponential jump diffusion, Variance Gamma, KoBoL/CGMY and Merton’s jump diffusion models.
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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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