期刊文献+

基于RiskMetrics模型的国债指数风险研究 被引量:1

Research on National Bond Index Risk Based on RiskMetrics Model
下载PDF
导出
摘要 RiskMetrics模型是一组被广泛应用的金融风险管理工具,其核心技术是在险价值(VaR)方法。研究这种对线性金融工具计算VaR的简单方法。其中,用指数加权移动平均方法(EWMA)来计算收益率的波动,用最小RMSE标准来确定最优衰减因子。通过对上证国债指数的实证研究,计算最优的衰减因子和国债指数的每日VaR值。从中可以看出,上证国债指数的波动性较大,并且每日VaR的预测结果与所假设的置信水平能够很好的吻合。 RiskMetrics model has been applied widely as a set of management tools againat financial risks, and its core technology is Value - at - Risk. This paper discusses a simple VaR method for linear instrument in which the volatility of return is computed by the Exponentially Weighted Moving Average (EWMA) method, and the optimal decay factor is determined by the Root Mean Squared Error ( RMES ) criterion. An empirical research based on the data of ShangZheng national bond index, the optimal decay factor and daily VaR indicates that the volatility of ShangZheng national bond index is high, while the daily VaR forecasts are well mapped at the supposed confidence level.
作者 赵谦
出处 《商业研究》 北大核心 2007年第6期120-123,共4页 Commercial Research
关键词 RiskMetrics模型 VAR 指数加权移动平均方法 衰减因子 国债指数 RiskMetrics model VaR exponentially weighted moving average decay factor national bond index
  • 相关文献

参考文献7

二级参考文献36

  • 1张尧庭.《金融市场的统计分析》[M].广西师范大学出版社,1999年.. 被引量:2
  • 2[1]Bollerslev,T.Generalized Autoregressive Conditional heteroskedasticity[J].Journal of Econometrics,1986,(31):307 ~ 327. 被引量:1
  • 3[2]Bollerslev,T.,R Chou,with K Kroner.ARCH Modeling in Finance[J].Journal of Econometrics,1992,(52):5 ~ 9. 被引量:1
  • 4[3]Bollerslev,T.A Conditional Heteroskedasticity Time Series Model for Speculative Prices and Rate of Return[J].Review of Economic and Statistics,1987a,(69):542 -547. 被引量:1
  • 5[4]Bollerslev,T.On the Correlation Structure for the Generalized Autoregressive Conditional Heteroskedasticity Process[J].Journal of Time Series Analysis,1987b,9(2):21-131. 被引量:1
  • 6[5]Bollerslev,T.,and J.M.Wooldridge.Quasi-Maximum Likelihood Estimation of Dynamic Models with Time Varying Covariances[J].Econometric Reviews,1992,(11):143-172. 被引量:1
  • 7[6]Bollerslev,T.,R.F.Engle,and Nelson.ARCH Models[M].Handbook of Econometrics,1994.2960-3038. 被引量:1
  • 8[7]Christie,A.The Stochastic Behavior of Common Stock Variance:Value,Leverage and Interest Rate Effects[J].Journal of Financial Economics,1982,(10):407-432. 被引量:1
  • 9[8]Campell,J.and L.Hentschell.No News is Good News:An Asymmetric Model of Changing Volatilility in Stock Returns[J].Journal of Financial Economics,1992,(31):281-318. 被引量:1
  • 10[9]Engle,R.F.,and V.Ng.Measuring and Testing the Impact of News on Volatiltiy[J].Journal of Finance,1993,(45):1749-1777. 被引量:1

共引文献37

同被引文献1

引证文献1

二级引证文献1

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