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arXiv 1201.3256math.PR
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Wishart流程

Wishart Processes

Oliver Pfaffel

摘要:

本文结合一个学生课题对Wishart过程进行了简要的回顾。Wishart过程是具有边际Wishart分布的矩阵值连续时间随机过程。Wishart分布是卡方分布的矩阵变量推广。由于Wishart过程被定义为随机微分方程的一个解,因此强解的存在性和唯一性将得到全面的讨论。证明了该随机微分方程的某些解可以表示为矩阵变量Ornstein-Uhlenbeck过程的平方。Wishart过程具有对称正定的性质,因此大量用于随机波动率模型中的利率或协方差阵建模。

英文摘要:

Based on a student research project this article gives a short review on Wishart processes. A Wishart procces is a matrix valued continuous time stochastic process with a marginal Wishart distribution. The Wishart distribution is a matrix variate generalization of the chi-squared distribution. Since Wishart processes are defined as a solution to a stochastic differential equation, the existence and uniqueness of strong solutions will be discussed comprehensively. It is also shown that some solutions of the stochastic differential equation can be expressed as squares of matrix variate Ornstein-Uhlenbeck processes. Wishart processes have the property of being symmetric positive definite and are therefore heavily used for modeling interest rates or the covariance matrix in stochastic volatility models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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