Application of the Family of Sign RCA Models for Obtaining the Selected Risk Measures

Joanna Górka
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引用次数: 0

Abstract

Accurate modelling of risk is very important in finance. There are many alternative risk measures, however none of them is dominating. This paper proposes to use the family of Sign RCA models to obtain the Value-at-Risk (VaR) and Expected Shortfall (ES) measures. For models from the family of Sign RCA models and AR-GARCH model the one-step forecasts of VaR were calculated based on rolling estimates from the given model using different window sizes. To obtain the VaR and ES measures the filtered historical simulation was used in new version proposed by Christoffersen. The results were verified using backtesting and the loss function.
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符号RCA模型族在获得选定风险测度中的应用
在金融中,准确的风险建模是非常重要的。有许多可供选择的风险度量方法,但没有一种是主导的。本文提出使用Sign RCA模型族来获得风险价值(VaR)和预期缺口(ES)度量。对于Sign RCA模型和AR-GARCH模型家族中的模型,基于使用不同窗口大小的给定模型的滚动估计计算VaR的一步预测。在Christoffersen提出的新版本中,采用滤波历史仿真来获得VaR和ES测度。利用回测和损失函数对结果进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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