有色金属期货R-Vine Copula分析及其在风险价值预测中的应用

Xuyuan Han, Zhenya Liu, Shixuan Wang
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引用次数: 0

摘要

本文采用R-vine copula方法研究了伦敦金属交易所有色金属商品期货的依赖结构,重点比较了2008年金融危机前后有色金属商品期货的依赖结构。研究发现,金融危机后,有色金属期货依赖结构的中心已经从铜转向锌。我们发现,危机后有色金属的风险分散效益降低,尾部依赖性显著增加。我们进一步开发了一种基于R-vine copula的预测风险价值的方法,并且回验结果表明预测精度优于基准方法。本研究对市场参与者加强有色金属风险管理有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A R-Vine Copula Analysis of Non-ferrous Metal Futures with Application in Forecasting Value-at-Risk
We employ the R-vine copula approach to study the dependence structures among non-ferrous metal commodity futures on the London Metal Exchange, focusing on the comparison before and after the 2008 financial crisis. We document that the center of dependence structure among non-ferrous metal futures has changed from copper to zinc after the crisis. We find that the risk diversification benefit among non-ferrous metals diminishes after the crisis, and there is a significantly increase in their tail dependence. We further develop a R-vine copula-based method for forecasting Value-at-Risk, and the back-testing results show superior forecast accuracy over benchmark methods. Our study is useful for market participants to enhance their risk management for non-ferrous metals.
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