关于投资组合问题的一个基于copula的条件风险值的注记

Q1 Economics, Econometrics and Finance
Andres Mauricio Molina Barreto, Naoyuki Ishimura
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引用次数: 0

摘要

我们处理一个有风险的多元条件值。与单个随机变量的通常概念相比,多变量风险值与多个变量有关,因此,应考虑每个风险因素之间的关系。我们在这里介绍了一个基于copula的条件风险值的新定义,它是实值的,可以计算。已知Copula提供了一种灵活的方法来处理可能的非线性结构;因此,copula可能自然地涉及风险价值理论。在阿基米德copula的情况下,我们推导了一个基于copula的风险条件值的公式,其有效性通过例子得到了证明。数值研究也用实际数据进行,这些数据可以用分析结果进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Remarks on a copula-based conditional value at risk for the portfolio problem

Remarks on a copula-based conditional value at risk for the portfolio problem

We deal with a multivariate conditional value at risk. Compared with the usual notion for the single random variable, a multivariate value at risk is concerned with several variables, and thus, the relation between each risk factor should be considered. We here introduce a new definition of copula-based conditional value at risk, which is real valued and ready to be computed. Copulas are known to provide a flexible method for handling a possible nonlinear structure; therefore, copulas may be naturally involved in the theory of value at risk. We derive a formula of our copula-based conditional value at risk in the case of Archimedean copulas, whose effectiveness is shown by examples. Numerical studies are also carried out with real data, which can be verified with analytical results.

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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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