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arXiv 2203.00635math.PR
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$p$ -回火$α$ -稳定OU过程的有效模拟

Efficient Simulation of $p$-Tempered $α$-Stable OU Processes

Michael Grabchak, Piergiacomo Sabino

摘要:

我们发展了有效的方法来模拟与$p$ -回火$α$ -稳定($\ts$)分布类相关的Ornstein-Uhlenbeck型过程。我们的结果适用于单变量和多变量的情况下,我们认为这两种情况下,$\ts$分布是平稳的法律,它是背景驱动Lévy过程(BDLP)的分布。在后一种情况下,我们还得到了一个明确的表示的过渡法,因为这是以前只知道在某些特殊情况下,只有$p=1$和$α\in[0,1)$。仿真结果表明,我们的方法在实践中工作良好。

英文摘要:

We develop efficient methods for simulating processes of Ornstein-Uhlenbeck type related to the class of $p$-tempered $α$-stable ($\ts$) distributions. Our results hold for both the univariate and multivariate cases and we consider both the case where the $\ts$ distribution is the stationary law and where it is the distribution of the background driving Lévy process (BDLP). In the latter case, we also derive an explicit representation for the transition law as this was previous known only in certain special cases and only for $p=1$ and $α\in[0,1)$. Simulation results suggest that our methods work well in practice.

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