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基于BGARCH的石油期货动态套期保值模型研究 被引量:2

Study of dynamic hedging model of oil futures based on BGARCH
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摘要 文章根据石油价格随机波动的特点,通过对WTI的石油现货和期货价格构建动态套期保值模型,利用BGARCH模型估计最优动态套期保值比率,以期减少石油价格波动所带来的风险,并通过多个指标,比较了最优动态套期保值比模型与传统套保模型以及基于VaR的静态套期保值比模型的套保效果。研究结果显示,动态套期保值模型能更好地规避由价格波动带来的风险。 According to the characteristics of stochastic volatility of oil prices,a dynamic hedging model for the WTI oil spot and futures prices is constructed and the BGARCH model is used to estimate the optimal dynamic hedge ratio,which can reduce risks brought by oil price volatility.Based on multiple indicators of the hedging strategy,the hedging effectiveness of dynamic hedging model is compared with those of the traditional hedging model and VaR-based model with static hedge ratio.The results show that the dynamic hedging model can better hedge the oil price risks.
作者 许冶 焦建玲
出处 《合肥工业大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第8期1263-1267,共5页 Journal of Hefei University of Technology:Natural Science
基金 国家自然科学基金资助项目(70971034) 安徽省自然科学基金资助项目(090416243)
关键词 价格风险 最优套期比 BGARCH模型 套保有效性 price risk optimal hedge ratio BGARCH model hedging effectiveness
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参考文献13

  • 1Ederington L H. The hedging performance of the new futures markets[J]. Joumal of Finance, 1979,34:157-- 170.
  • 2迟国泰,余方平,刘轶芳.基于VaR的期货最优套期保值模型及应用研究[J].系统工程学报,2008,23(4):417-423. 被引量:30
  • 3Kroner K F, Sultan J. Time-varying distribution and dynamic hedging with foreign currency futures[J].Journal of Financial and Quantitative Analysis, 1993,28(4) : 535--551.
  • 4Cecchetti S G, Cumby R E, Figlewski S. Estimation of the optimal futures hedge [J]. Review of Economies and Statistics, 1988,70(4):623--630.
  • 5Tong W H S. An examination of dynamic hedging[J]. Journal of International Money and Finance, 1996,15:19--35.
  • 6Baillie R, Myers R. Bivariate GARCH estimation of the optimal commodity futures hedge[J]. Journal of Applied Econometrics, 1991,6 (3) : 109-- 124.
  • 7Engle R F. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation [J]. Econometriea, 1982,50 : 987-- 1007.
  • 8Bollerslev T. Generalized autoregressive conditional heteroscedasticity[J]. Journal of Econometrics, 1986, 31: 307--327.
  • 9Bollerslev T, Engle R F, Wooldridge J M. A captial asset pricing model with time-varying covariances[J].Journal of Political Economy, 1988,96(1) : 116--131.
  • 10Silvennoinen A, Terasvirta T. Multivariate GARCH models[Z]. SSE/EFI Working Paper Series in Economics and Finance, 2008 : 669.

二级参考文献32

  • 1余素红,张世英,宋军.基于GARCH模型和SV模型的VaR比较[J].管理科学学报,2004,7(5):61-66. 被引量:76
  • 2张光远.关于多元t分布的一些讨论[J].新疆大学学报(自然科学版),1996,13(3):33-38. 被引量:12
  • 3迟国泰,杨万武,余方平.基于资金限制的Sharp-ARIMA期货套期保值决策模型[J].预测,2007,26(3):72-80. 被引量:3
  • 4菲利普·乔瑞.VaR:风险价值:金融风险管理新标准[M].陈跃,译.北京:中信出版社,2000:75-117.
  • 5Artzner P,Delbaen F.‘Finem Lauda' or the risks in swaps[J].Mathematical and Economics,1990,9(4):295-303.
  • 6Arie D,Kunal S,Martin R.Equity market linkages in the Asia Pacific region:a comparison of the orthogomlised and generalized VaR approaches[J].Global Finance Journal,2001,12(1):1-33.
  • 7Alexander S,Coleman T.F,Li Y.Minimizing CVaR and VaR for a portfolio of derivatives[J].Journal of Banking & Finance,2006,30(2):583-605.
  • 8Gourieroux C,Laurent J P,Scaillet O.Sensitivity analysis of Values at Risk[J].Journal of Empirical Finance,2000,7 (3/4):225-245.
  • 9Cabedo J D,Moya I.Estimating oil price‘Value at Risk' using the historical simulation approach[J].Energy Eco-nomics,2003,25(3):239-253.
  • 10Markowitz H.Portfolio selection[J].The Journal of Fi-nance,1952,7(1):77-91.

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