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Subordination, Self-Similarity, and Option Pricing

机译:从属,自相似和期权定价

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We use additive processes to price options on the Standard and Poor's500 index (SPX) for the sake of comparison of pricing performance acrossboth model class and family of time-one distribution. Each of the additive processes in this study is defined using one of the following: subordination,Sato's (2002) construction of self-similar additive processes fromself-decomposable distributions, or both. We find that during the year2005: (1) for a given family of time-one distributions, four-parameterself-similar additive models consistently yielded lower pricing errors thanthose of four-parameter subordinated, and time-inhomogeneous additivemodels, (2) for a given class of additive models, the time-one marginalgiven by the normal inverse Gaussian distribution consistently yieldedlower pricing errors than those of the variance gamma distribution. Marketand model benchmarks for the additive models under considerationare obtained via the bid-ask spreads of the options and Lévy stochasticvolatility model prices, respectively.valued generalizedw
机译:为了比较模型类和时间一分布族的定价表现,我们对标准普尔500指数(SPX)的定价选项使用加法处理。本研究中的每个加法过程均使用以下方法之一进行定义:从属,Sato(2002)根据自分解分布构造自相似加法过程,或两者兼而有之。我们发现在2005年期间:(1)对于给定的时间一族分布,四参数自相似加性模型始终比四参数从属模型和时间不均匀加性模型产生较低的定价误差,(2)在给定一类加性模型的情况下,正态高斯逆分布给定的时间边际一贯产生的价格误差低于方差伽马分布的定价误差。分别通过期权的买卖差价和Lévy随机波动率模型价格获得考虑中的添加剂模型的市场和模型基准。

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