缓变稳定分布

M. L. Bianchi, Stoyan Stoyanov, G. Tassinari, F. Fabozzi, S. Focardi
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引用次数: 0

摘要

本章涵盖的主要主题是:缓变稳定分布的历史以及为什么这种分布被应用于金融;缓变稳定定律的主要性质和公式;非平凡情况下(即,当只有封闭形式的特征函数可用而密度函数不可用时,概率密度和累积分布函数的评估;如何从回火稳定分布中生成样本图;如何从样本中估计回火稳定分布的参数;如何评估已知的回火稳定股票市场模型的风险度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tempered Stable Distributions
The main topics covered in this chapter are:the history of the tempered stable distribution and why this distribution has been applied in finance;the main properties and formulas of tempered stable laws;the evaluation of the characteristic function in a non-trivial case (i.e., for the rapidly decreasing tempered stable law);probability density and cumulative distribution function evaluation when only the characteristic function is available in closed form while the density function is not;how to generate sample draws from a tempered stable distribution;how to estimate the parameters of a tempered stable distribution from a sample;how to evaluate well-known risk measures for a tempered stable stock market model.
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