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出 处:《经济数学》2018年第1期1-5,共5页Journal of Quantitative Economics
基 金:江西省高校人文社会科学研究项目(TJ161002);江西省2017年研究生创新课题项目(YC2017-S218)
摘 要:国际原油价格剧烈波动催生了对油价风险管理需求,在此背景下,科学有效地度量油价风险具有突出的现实意义.以WTI原油每日对数收益率为对象,采用EVT-CAViaR模型度量原油价格极端风险.结果表明:WTI原油市场呈现典型的"杠杆效应"与"高峰厚尾"特征.同时,在测算极端市场风险时,EVT-CAViaR模型有较强的预测风险能力,是一种可靠的油价风险度量工具.The heavy fluctuation of the price of international crude oil calls for the demand for oil price risk manage- ment. Thus, it has been of realistic significance to manage the oil price risk scientifically and effectively. By taking the daily logarithm yield rate as the research objects, this paper uses EVT-CAViaR model to measure WTI crude oil market risk. The re- sults show that., the WTI crude oil market presents typical 'leptokurtosis and fat-tail' features and leverage effect. Besides, when measuring the extreme market risk, the EVT-CAViaR models are equipped with greater risk forecasting ability, and therefore can be a reliable risk management tools for oil market.
关 键 词:WTI原油 油价风险度量 EVT—CAViaR模型
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