金融极值理论:综述

M. Rocco
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引用次数: 80

摘要

极值理论研究的是极端事件的渐近分布,也就是说,这些事件的频率很少,但相对于大多数观测值来说却很大。从这一理论衍生出来的统计方法越来越多地应用于金融领域,特别是在风险测量方面。本研究的目的是双重的。第一部分对极端价值理论的理论基础进行了批判性的回顾。第二部分提供了极端价值理论在金融中的一些主要应用的调查,即它用于测试数据的不同分配假设,风险价值和预期缺口计算,安全第一类型约束下的资产配置以及压力条件下市场传染和依赖性的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extreme Value Theory for Finance: A Survey
Extreme value theory is concerned with the study of the asymptotical distribution of extreme events, that is to say events which are rare in frequency and huge with respect to the majority of observations. Statistical methods derived from this theory have been increasingly employed in finance, especially in the context of risk measurement. The aim of the present study is twofold. The first part delivers a critical review of the theoretical underpinnings of extreme value theory. The second part provides a survey of some major applications of extreme value theory to finance, namely its use to test different distributional assumptions for the data, Value-at-Risk and Expected Shortfall calculations, asset allocation under safety-first type constraints and the study of contagion and dependence across markets under stress conditions.
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