期刊文献+

估计期货的最优套期保值比率——基于我国锌期货的实证研究 被引量:2

下载PDF
导出
摘要 本文在运用OLS方法计算套期保值比率的基础上引入协整检验和ECM模型,以达到更好地估计最优套期保值比率的目的。
作者 康煜
出处 《时代金融》 2011年第6X期175-175,216,共2页 Times Finance
  • 相关文献

参考文献2

二级参考文献15

  • 1王玉刚,迟国泰,吴珊珊.基于非线性相关的最小方差套期保值比率研究[J].价值工程,2006,25(10):154-157. 被引量:11
  • 2肖璨,田益祥,朱冬.运用Copula方法对债市相关性的测度[J].统计与决策,2007,23(18):91-94. 被引量:3
  • 3Baillie R. T, R. Myers, Bivariate. GARCH Estimation of The Optimal Commodity Futures Hedge[J]. Journal of Applied Econometrics, 1991,6: 109-124.
  • 4Bera A. K, J. S. Roh. A Moment Test of the Consistency of the Correlation in the Bivariate GARCH Model[J]. Mimeo.. Department of Economics, University of Illinois at Urbana-Champaign, 1991.
  • 5Bollerslev T. R. F. Engle, J. M. Wooldridge. A Capital Asset Pricing Model with Time-Varying Covariances[J]. Econometrica, 1988, 96: 216-231.
  • 6Donald Lien Yiu Kuen Tse, Albert Tsui. Evaluating Hedging Performance of the Constant-Correlation GARCH Model[J]. Applied Financial Economics, 2002,12: 791-798.
  • 7Ederington L. H. The Hedging Performance of the New Futures Markets[J]. The Journal of Finance, 1979, XXXIV(1): 157-170.
  • 8Lien D. H. D, X. Luo. Multi-period Hedging in the Presence of Conditional Heteroscedasticity[J]. The Journal of Futures Markets, 1994,14(8): 927-955.
  • 9Myers R. J. Estimating Time-varying Optimal Hedge Ratios on Futures Markets[J]. The Journal of Futures Markets, 1991, 11: 139-153.
  • 10Park T. H, Switzer L. N. Bivariante GARCH Estimation of The Optimal Hedge Ratios For Stock Index Futures: A Note[J]. Journal of Futures Markets, 1995, 15: 61-67.

共引文献48

同被引文献32

  • 1齐明亮.套期保值比率与套期保值的效绩——上海期铜合约的套期保值实证分析[J].华中科技大学学报(社会科学版),2004,18(2):51-54. 被引量:29
  • 2王赛德.套期保值期限、期货合约选择与最优套期保值比率——基于中国铜、铝期货市场的实证研究[J].当代经济管理,2006,28(3):100-103. 被引量:11
  • 3Witt H J,Schroeder T C,Hayenga M L.Comparison of Analytical Approaches for Estimating Hedge Ratios for Agricultural Commodities[J].The Journal of Futures Markets,1987(7):135-146.
  • 4Donald Lien,Yiu Kuen Tse,Albert Tsui.Evaluating Hedging Performance of the Constant-Corr elation GARCH Model[J].Applied Financial Economics,2002(12):791-798.
  • 5Ghosh A.Hedging with Stock Index Futures:Estimation and Forecasting with Error Correction Model[J].The Journal of Futures Markets,1993(13):743-752.
  • 6Chou W L,Fan K K,Lee C F.Hedging with the Nikkei Index Futures:The Conventional Model Versus the Error Correction Model[J].Quarterly Review of Economics and Finance,1993(36):495-505.
  • 7Francis In,Sangbae Kimb.Multiscale Hedge Ratio between the Australian Stock and Futures Markets:Evidence from Wavelet Analysis[J].Journal of Multinational Financial Management,2006,16:411-423.
  • 8Huang NE,Shen Z,Long SR,et a1.The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis[J].Mathematical,Physical and Engineering Sciences,1998,454(1971):903-995.
  • 9Lean Yu,Shouyang Wang,Kin Keung Lai.Forecasting Crude Oil Price with an EMD-based Neural Network Ensemble Learning Paradigm[J].Energy Economics,2008,30:2623–2635.
  • 10Xun Zhang,Lean Yu,Shouyang Wang,et al.A New Approach for Crude Oil Price Analysis Based on Empirical Mode Decomposition[J].Science Direct,2008,30:905-918.

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部