极值理论在资产收益分布尾部厚度估计中的应用

M. L. Bianchi, Stoyan Stoyanov, G. Tassinari, F. Fabozzi, S. Focardi
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引用次数: 0

摘要

本章的主要内容包括:利用峰值超过阈值法通过极值理论(EVT)评估风险价值(VaR)和平均风险价值(AVaR);如何将考虑波动性聚类的标准GARCH模型与EVT相结合进行风险估计;对市场指数收益分布的上下尾厚进行广泛的样本内和样本外分析;基于AVaR和基于标准VaR的统计检验评估风险模型的样本外行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Extreme Value Theory to Estimate Tail Thickness for Asset Return Distributions
The main topics covered in this chapter are:assessment of value-at-risk (VaR) and average value-at-risk (AVaR) through extreme value theory (EVT) using the peaks-over-threshold method;how to combine the standard GARCH model which takes into account the clustering of volatility with EVT for risk estimation;extensive in-sample and out-of-sample analysis of the upper and the lower tail thickness of the return distributions of market indices;AVaR-based and standard VaR-based statistical tests to assess the out-of-sample behavior of the risk model.
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