期刊文献+

基于EWMA组合模型的人民币汇率的动态预测 被引量:1

下载PDF
导出
摘要 文章提出指数加权移动平均(EWMA)组合模型克服了传统组合方法没有考虑时序数据间时隔远近而相互影响不同的动态关联缺陷。对汇改后人民币汇率实证分析,结果发现EWMA组合模型比被组合的广义自回归条件异方差(GARCH)模型和均值回复(Mean Reversion)模型有更好的预测精度,能够更加逼真把握金融时序的未来走势。
出处 《统计与决策》 CSSCI 北大核心 2008年第16期133-136,共4页 Statistics & Decision
基金 上海市重点学科建设资助项目(T0502)
  • 相关文献

参考文献10

  • 1Ronald Balvers,Yangru Wu,and Erik Gilliland. Mean Reversion across National Stock Markets and Parametric Contrarian Investment Strategies[J]. The Journal of Finance,2000, 6(2).
  • 2Ronald Balvers, Yangru Wu. Momentum and Mean Reversion Across National Equity Markets [J].Journal of Empirical Finance, 2006, 13(4).
  • 3李秀梅,肖庆宪.人民币汇率模型的实证研究[J].统计与决策,2007,23(13):72-73. 被引量:4
  • 4Clemen, R. Combining Forecasts: a Review and Annotated Bibliography[J]. International Journal of Forecasting, 1989, (5).
  • 5Armstrong, J,S, Combining Forecasts in Principles of Forecasting[J]. A Handbook for Researchers and Practitioners,2001,2(9).
  • 6Bates, J.M. and Granger, C. The Combination of Forecasts[J]. Operational Research Quarterly, 1969,(20).
  • 7Newbold, P. and Granger, C. Experience with Forecasting Univariate Time Series and the Combination of Forecasts [J]. Journal of the Royal Statistics Society Series A,1974, (137).
  • 8Russell, T.D, and Adam, E.E. An Empirical Evaluation of Alternative Forecasting Combinations[J], Management Science,1987, 33 (10).
  • 9Schwaerzel, R. and Rosen, B. hnproving the Accuracy of Financial time Series Prediction Using Ensemble Networks and High Order Statistics[J]. Proceedings of the International Conference on Neural Networks, Houston, TX,1997, 4(3).
  • 10苏岩,杨振海.GARCH(1,1)模型及其在汇率条件波动预测中的应用[J].数理统计与管理,2007,26(4):615-620. 被引量:33

二级参考文献6

  • 1JAMES D.HAMILTON.时间序列分析[M].刘明志,译.北京:中国社会科学出版社,1999:345-402.
  • 2Terence C.Mills.金融时间序列的经济计量模型.[M].北京:经济科学出版社,2002.159-162.
  • 3Radcliffe GEdmonds.Is exchange rate volatility excessive? an ARCH and AR approach.[J].The quarterly review of economics and finance,2004,44:122-154.
  • 4Francis X.Diebold.经济预测.[M].北京:中信出版社,2003.307-326.
  • 5Wen Du,H.Holly Wang.Price behavior in China's wheat futures market.[J].China economic review,2004,15:215-229.
  • 6Michael Sabbatini.A GARCH model of the implied volatility of the Swiss market index from option prices.[J].International journal of forecasting,1998,14:199-123.

共引文献35

同被引文献15

  • 1于志军,杨善林.基于误差校正的GARCH股票价格预测模型[J].中国管理科学,2013,21(S1):341-345. 被引量:15
  • 2Bollerslev T. Generalized autoregressive conditional het- eroskedasticity[ J ]. Journal of Econometrics, 1986,31 ( 3 ) : 307 - 327.
  • 3Engle R F. Autoregressive conditional heteroskedasticity with estimates of the variance of the United Kingdom inflation [ J]. Econometrica, 1982,50(4) :987 - 1008.
  • 4Nelson D B. Conditional Heteroskedasticity in Asset Re- turns : A New Approach [ J ]. Econometrica, 1991,59 ( 2 ) : 347 - 370.
  • 5Andersen T G, Bollerslev T, Diebold F X, Ebens H. The dis- tribution of realized stock return volatility [ J ]. Journal of Fi- nancial Economics ,2001,61 ( 1 ) :43 -76.
  • 6Chang C L, McAleer M, Tansuchat R. Analyzing and fore- casting volatility spillovers, asymmetries and hedging in ma- jor oil markets [ J ]. Energy Economics, 2014,32 : 1445 - 1455.
  • 7Hlouskova J,Schmidheiny K,Wagner M. Muhistep predic- tions for multivariate GARCH models: closed form solution and the value for portfolio management [ J ]. Empirical Fi-nance,2009,16:330 -336.
  • 8Feng H,Li S. Active disturbance rejection control based on weighed - moving - average - state - observer [ J ]. J Math Anal Appl,2014(411 ) :354 - 361.
  • 9Agirre - Basurko E, Ibarra - Berastegi G, Madariagac 1. Regression and multilayer perceptron - based models to forecast hourly 03 and NO= levels in the Bilbao area [ J ]. Environmental Modelling & Software, 2006 ( 21 ) : 430 - 446.
  • 10杨娴,陆凤彬,汪寿阳.国际有色金属期货市场VaR和ES风险度量功效的比较[J].系统工程理论与实践,2011,31(9):1645-1651. 被引量:10

引证文献1

二级引证文献5

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