arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1902.10044q-fin.RMmath.PRq-fin.MFq-fin.PMq-fin.ST
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资本风险分配的公平估计

Fair Estimation of Capital Risk Allocation

Tomasz R. Bielecki, Igor Cialenco, Marcin Pitera, Thorsten Schmidt

摘要:

在本文中,我们开发了一种新的方法来估计风险资本配置。该方法植根于风险度量理论。我们在一个一般的,但易于处理的一类法律不变的一致性风险度量,特别关注预期损失。我们引入了公平资本分配的概念,并提供了明确的公式公平资本分配的情况下,风险投资组合的成分是联合正态分布。本文的主要重点是在不完全知道的情况下的投资组合成分的法律近似公平的投资组合分配的问题。定义并研究了公平分配估计量和渐近公平分配估计量的概念。我们的研究的很大一部分是致力于估计公平的风险分配的问题,预期损失。我们研究这个问题下的正常以及在一个非参数设置。我们得到几个估计,并证明其公平性和/或渐近公平性。最后,但并非最不重要的是,我们提出了两个回测方法,面向评估的性能分配估计过程。本文结束了大量的数值研究的主题。

英文摘要:

In this paper we develop a novel methodology for estimation of risk capital allocation. The methodology is rooted in the theory of risk measures. We work within a general, but tractable class of law-invariant coherent risk measures, with a particular focus on expected shortfall. We introduce the concept of fair capital allocations and provide explicit formulae for fair capital allocations in case when the constituents of the risky portfolio are jointly normally distributed. The main focus of the paper is on the problem of approximating fair portfolio allocations in the case of not fully known law of the portfolio constituents. We define and study the concepts of fair allocation estimators and asymptotically fair allocation estimators. A substantial part of our study is devoted to the problem of estimating fair risk allocations for expected shortfall. We study this problem under normality as well as in a nonparametric setup. We derive several estimators, and prove their fairness and/or asymptotic fairness. Last, but not least, we propose two backtesting methodologies that are oriented at assessing the performance of the allocation estimation procedure. The paper closes with a substantial numerical study of the subject.

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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