1Alexander, C. O. (1998). Volatility and Correlation: Methods, Models and Applications, in C. O.Alexander (ed.) Risk Management and Analysis: Measuring and Modeling Financial Risk, Wiley
2Eric Zivot, and Jiahui Wang. (2002). Modeling Financial Time Series with S-PLUS, Springer-Verlag,P473-503
3Hosking, J. R. M. (1980). The Multivariate Portmanteau Statistic, Journal of the American Statistical Association, 75, P602-608
4Ruey S. Tsay. (2002). Analysis of Financial Time Series, John Wiley & Sons. P357-385
5Tse, Y.K. and Tsui K. C. (2000). A Multivariate GARCH Model with Time-Varying Correlations
1Poon, S., Granger, C., 2004. Forecasting volatility in financial markets: a review. Journal of Economic Literature 41, 478-539.
2Verbeek, M., 2000. A Guide to Modern Econometrics.
3West, K. D., D, Cho., 1995. The predictive ability of several models of exchange rate volatility.Journal of Econometrics,69,2,367-391.
4Aydemir,A.B.,1998.Volatility modelling in finance. Forecasting Volatility in the Financial Markets.
5Baillie,R.T.,Bollerslcw, T.,1989. the message in daily exchange rates:a conditional variance tale.Journal of Business and Economic Statistics,Vol.7,297-305.
6Bollerslev,T.,1986. Generalized autoregressive conditional heteroskedasticity.Journal of Econometrics,31,307-328.
7Bollerslev, T., Chou, R. Y., Kroner, K. K., 1992. ARCH modelling in finance, a review of the theory and empirical evidence.Journal of econometrics.Vol.52.5-59.
8Christodoulakis, G. A., Satchell., S. E., 1998. Hashing GARCH: a reassessment of volatility forecasting performance. Forecasting volatility in the financial markets.168-192.
9Engle, R.F., 1982. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrics, 50. 4.987-1007.
10Engle, R.F., Bollerslev, T., 1986. Modelling the persistence of conditional variances. Econometric Review, 5 (1),1-50.
3Andersen T G, Bollerslev T, Diebold F X, et al. Exchange rate returns standardized by realized volatility are (nearly) Gaussian[ J]. Multinational Finance Journal, 2000, 4(4) : 159-179.
4Andersen T G, Bollerslev T, Diebold F X, et al. The distribution of exchange rate volatility [J]. Journal of American Statistical Association, 2001, 96(8): 42-55.
5Andersen T G, Bollerslev T, Diebold F X, et al. The distribution of stock return volatility[ J]. Journal of Financial Economics, 2001, 61(7) : 43-76.
6Andersen T G, Bollerslev T, Diebold F X, et al. Modelling and forecasting realized volatility[J]. Econometrica, 2003, 71 (2) : 579-625.
7Guo M Y,Zhang S Y. Weighted realized beta and its application in Chinese stock market[ A ]. In: Proceedings of the 14th International Conference on Industrial Engineering and Engineering Management [ C ]. Tianjin, China: China Machine Press, 2007. 871-875.
8Kim D, Kon S J. Structual change and time dependence in models of stock returns [ J ]. Journal of Empirical Finance, 1999, 6(3) : 283-308.
9Kim D. A Bayesian significance test on the stationarity of regression parameters [ J]. Biometrika, 1991, 78 (3): 667-675.
