Study on the Estimation of VaR of Copper Futures Based on GARCHSK Model
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摘要: 基于GARCHSK模型对期货收益序列的条件偏度和峰度进行动态建模,提出了“有偏”和“尖 峰厚尾”分布下的VaR估计方法。通过对沪铜期货的实证研究表明,其收益分布存在明显的“有偏”和“尖峰厚尾”。基于不同分布假定下的VaR估计结果的Kupiec检验表明,基于GAR CHSK的VaR估计方法能够有效提高VaR的估计精度。Abstract: This paper has estimated the conditional skewness and kurtosis using t he GARCHSK model and then proposed an estimation method of VaR based on skewed and fat tailed distribution. The empirical results from Shanghai copper futures data suggest that the conditional skewness and kurtosis are time varying significantly. And the estimation method based on GARCHSK model can make the VaR estimation more accurate after considering the impacts of conditional skewness and kurt osis.
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Keywords:
- VaR /
- GARCHSK model /
- conditional skewness and kurtosis /
- Kupiec test
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[1] Harvey C R, Siddique A. Autoregressive conditional skewness . Journal of Financial and Quantitative Analysis,1999(34):465-487. [2] Leon A, Rubio G, Serna G. Autoregressive conditional volatility skewness and kurtosis[J]. The Quarterly Reviewof Economics and Finance, 2005,45:599-618. [3] Turan G Bali, Hengyong Mo, Yi Tang. The role of autoregressive condition al skewness and kurtosis in the estimation of conditional var[J]. Journal of B anking & Finance, 2007(3):1-14. [4] 刘庆富,仲伟俊,梅姝娥. 基于VaR-GARCH模型族的我国期铜市场风险度量研究[J] . 系统工程学报,2006(4):429-433. [5] Kupiec P H. Techniques for verifying the accuracy of risk measurement mod els[J]. Journal of Derivatives,2005(3):73-84.
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