期刊文献+

EGARCH-GED模型在计量中国期货市场风险价值中的应用 被引量:23

Application of EGARCH-GED Model for Calculating Value at Risk in Chinese Futures Market
下载PDF
导出
摘要 根据我国期货市场收益的基本特性,本文从收益的波动性与概率分布出发,建立了能准确度量时变风险价值的EGARCH-GED模型,并与基于正态分布和t分布GARCH模型的风险价值计算效果进行了比较。结果表明,基于EGARCH-GED模型的风险价值能更好地刻画我国期货市场的市场风险。另外,对我国期货市场各交易品种的风险趋势进行了比较和解析。 According to the basic characteristics of returns in Chinese futures market, the EGARCH-GED model for calculating value at risk based on volatility and probability distribution is developed and is compared with the GARCH models based on normal distribution and t- distribution. The results show that the EGARCH-GED model for calculating value at risk is the most method to describe the market risk in Chinese futures market. In addition, the market risk trend of the returns are analyzed and compared in detail.
出处 《管理工程学报》 CSSCI 2007年第1期117-121,共5页 Journal of Industrial Engineering and Engineering Management
基金 国家自然科学基金资助项目(70573044)
关键词 EGARCH 广义误差分布 风险价值 后验测试 EGARCH general error distribution value at risk backtesting
  • 相关文献

参考文献15

  • 1Artzner P,Delbaen F,Eber J M,Heath D.Coherent neasures of risk analysis[J].Financial Analysis Journal,1996,A (1):4~ 12.
  • 2Jorion P.Value at risk[M].2^nd Edition,New York:McGraw-Hill[M].2001:99~178.
  • 3Turan G.Bali,Salih N.Neftci.Disturbing extremal behavior of spot rate dynamics[J].Journal of Empirical Finance,2003,10:455 ~477.
  • 4Alexander J.McNeil,Rudiger Freg.Estimation of tail-related risk measures for heteroscedastic financial time series:an extreme value approach[J].Journal of Empirical Finance,2000,7:271~ 300.
  • 5邹建军,张宗益,秦拯.GARCH模型在计算我国股市风险价值中的应用研究[J].系统工程理论与实践,2003,23(5):20-25. 被引量:69
  • 6Black F.Studies of stock market volatility changes[A].Proceding of the American Statistical Association.Business and Economic Statistics Section[C].1976:177 ~ 181.
  • 7Gencay Ramazan,Selcuk Faruk and Ulugulyagci Abdurrahman.High volatility,thick tails and extreme value theory in value-at-risk estimation[J].Insurance:Mathematics and Economics,2003,33:337 ~ 356.
  • 8朱宏泉,卢祖帝,汪寿阳.VALUE-AT-RISK的核估计理论[J].系统科学与数学,2002,22(3):365-374. 被引量:8
  • 9王美今,王华.基于GARCH-t的上海股票市场险值分析[J].数量经济技术经济研究,2002,19(3):106-109. 被引量:39
  • 10王春峰,李刚,赵欣.基于模拟退火算法的VaR-GARCH模型[J].系统工程学报,2003,18(1):1-7. 被引量:12

二级参考文献27

  • 1刘庆富,仲伟俊,梅姝娥.空盘量变动对我国期货市场期货价格收益波动性的影响[J].系统工程理论方法应用,2005,14(1):28-32. 被引量:13
  • 2Frederic Johanson, Michael J. Seiler, Mikael Tjarnberg. Measuring downside portfolio risk[J]. The Journal of Port-folio Management, 1999, (5) : 96-- 107.
  • 3Yacine Ait-Sahalia, Andrew W Lo. Nonparametric risk management and implied risk aversion[J]. Journal of Econometrics. 2000, (94):9--51.
  • 4詹姆斯D汉密尔顿 刘明志(译).时间序列分析[M].北京:中国社会科学出版社,1999..
  • 5Agrawal, A. and Tandon, K. (1998): ''Anomalies or Illusions? Evidence from Stock Markets in Eighteen Countries,'' Journal of International Money and Finance,13,83 - 106.
  • 6Bowers, J. and Dimson, E. (1998): ''Introduction, in: E.Dimson (ed.) Stock Market Anomalies,'' Cambridge University Press, Cambridge, 3 - 15.
  • 7Chiang, R. and Tapley, T. C. (1983): ''The Day of the Week Effect in the Futures market, Review of Research in Futures Markets'', 2,356 - 410.
  • 8Choudhry,T. (2000):''Day of the Week Effect in Emerging Asian Stock Markets:Evidence from the GARCH Model,''Applied Financial Economics, 10,235 - 242.
  • 9Cornell, B. (1985) :''The Weekly Pattern in Stock Returns:Cash Versus Futures: A Note, Journal of Finance,'' 40,583 - 588.
  • 10Cross,F. (1973) :''The Behavior of Stock Prices on Fridays on Fridays and Mondays,'' Financial Analysts Journal, 29,67 - 69.

共引文献181

同被引文献194

引证文献23

二级引证文献63

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