不对称调节稳定分布与金融应用

IF 0.4 4区 数学 Q4 STATISTICS & PROBABILITY
A. Arefi, R. Pourtaheri
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引用次数: 1

摘要

在本文中,我们介绍了一种产生一类新的缓变稳定分布的技术。我们称这个族为不对称回火稳定分布。我们给出了这类分布的两个例子:非对称经典改性回火稳定ACMTS分布和非对称改性经典回火稳定AMCTS分布。由于调质稳定分布是无限可分的,因此Levy过程可以由ACMTS和AMCTS分布诱导。我们将讨论这些分布的性质以及将它们应用于金融建模的优势。进一步,我们建立了它们的指数Levy模型。为了证明指数Levy ACMTS和AMCTS模型的优势,我们估计了标准普尔500指数的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymmetrically tempered stable distributions with applications to finance
In this paper, we introduce a technique to produce a new family of tempered stable distributions. We call this family asymmetrically tempered stable distributions.We provide two examples of this family named asymmetrically classical modified tempered stable ACMTS and asymmetrically modified classical tempered stable AMCTS distributions. Since the tempered stable distributions are infinitely divisible, Levy processes can be induced by the ACMTS and AMCTS distributions. The properties of these distributions will be discussed along with the advantages in applying them to financial modeling. Furthermore, we develop exponential Levy models for them. To demonstrate the advantages of the exponential Levy ACMTS and AMCTS models, we estimate parameters for the S&P 500 Index.
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: PROBABILITY AND MATHEMATICAL STATISTICS is published by the Kazimierz Urbanik Center for Probability and Mathematical Statistics, and is sponsored jointly by the Faculty of Mathematics and Computer Science of University of Wrocław and the Faculty of Pure and Applied Mathematics of Wrocław University of Science and Technology. The purpose of the journal is to publish original contributions to the theory of probability and mathematical statistics.
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