期刊文献+

VaR的波动持续性研究 被引量:3

Research on Persistence of VaR Volatility
原文传递
导出
摘要 介绍了 Va R的含义及计算方法。说明了从持续性角度来讨论 Va R的意义和理论依据 ,指出对 σt的建模是研究 Va R持续性的可行途径。将 TSGARCH模型扩展为 FITSGARCH模型 ,并结合该模型 ,从脉冲响应函数角度定义了 σt的持续性。最后 ,利用中国深沪股市数据给出实证研究。 The paper reviews the meaning and calculating method of Value at Risk firstly. We demonstrate that it is significant and feasible to analyze the volatility persistence of VaR and to discuss the persistence of VaR by modeling σ t . Then the paper extends the TSGARCH model into FITSGARCH model, and defines the persistence of σ t using the impulse response function. In the end, we give modeling results using Chinese stock market data.
作者 樊智 张世英
出处 《系统工程理论方法应用》 2002年第4期270-274,共5页 Systems Engineering Theory·Methodology·Applications
基金 国家自然科学基金资助项目 ( 70 1710 0 1)
关键词 VAR 波动持续性 受险价值 金融风险 非线性变换 分形市场 风险管理 股票市场 value at risk financial risk persistence nonlinear transformation fractal market
  • 相关文献

参考文献19

  • 1Vlaar P J G. Value at risk models for Dutch bond portfolios[J]. Journal of Banking and Finance,2000,24:1131-1154.
  • 2Billio M, Pelizzon L. Value-at-Risk a multivariate switching regime approach[J]. Journal of Empirical Finance,2000,7:531-554.
  • 3WANG Chun-feng, LI Gang Center for Financial Engineering, Management School, Tianjin University, Tianjin 300072, China.Improving the Estimations of VaR-GARCH Using Genetic Algorithm[J].Journal of Systems Science and Systems Engineering,2001,13(3):281-290. 被引量:2
  • 4Hsieh D. Implication of nonlinear dynamics for financial risk management[J]. Journal of Financial and Quantitative Analysis,1993,28(1):41-64.
  • 5Beltratti A, Morana C. Computing value at risk with high frequency data[J]. Journal of Empirical Finance,1999,6:431-455.
  • 6Ming Liu. Modeling long memory in stock market volatility[J]. Journal of Econometrics,2000,99:139-171.
  • 7Breidt F J, et al. The detection and estimation of long memory in stochastic volatility[J]. Journal of Econometrics,1998,83:325-348.
  • 8Peters E E. Chaos and order in the capital markets[M]. New York: Wiley,1991.
  • 9樊智,张世英.金融市场的效率与分形市场理论[J].系统工程理论与实践,2002,22(3):13-19. 被引量:48
  • 10Brockwell P J, Davis R A. Time series: theory and methods[M]. Springer-Verlag,1991.

二级参考文献23

  • 1李汉英 张世英.随机波动模型的持续性研究.中国系统工程学会第十一届年会文集[M].,2000.375-380.
  • 2[1]Jorion P. VALUE AT RISK: The Benchmark for Controlling Market Risk, New York: McGraw-Hill,1997.
  • 3[2]Morgan J P. RiskMetrics-Technical Document, fourth edition. New York: Morgan Guaranty Trust Company,1996.
  • 4[3]WANG Chun-feng et al. The model of measuring financial market risk-VaR. Journal of System Engineering (in Chinese), 2000, 15(1) :67~75.
  • 5[4]Jackson P, Maude D J, Perraudin W. Bank capital and value at risk. Journal of Derivatives, 1997,4(3):73~ 90.
  • 6[5]Dornbusch R. Capital Controls: An Idea Whose Time is Gone, the World Economy Laboratory at MIT, AprilMay, 1998, 11~16.
  • 7[6]Robert F Engle. Autoregressive conditional heteroskedasticity with estimates of the variance of U.K. Inflation.Econornetrica, 1982,50: 987~1008.
  • 8[7]Tim Bollerslev. Generalized autoregressive conditional-heteroskedasiticity. Journal of Econometrics, 1986,31:307~327.
  • 9[8]Daniel B Nelson. Conditional heteroskedasticity in asset returns: a new approach. Econometrica, 1991,59:347~370.
  • 10[9]DING Zhuan-xin, Granger Clive W J, Robert F Engle. A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1993, 83~106.

共引文献74

同被引文献14

引证文献3

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