Laurent,S., Peters, J. P..G@RCH2.2: An ox package for estimating and forecasting various ARCH models[J]. Journal of Economic Surveys, 2002,(16):447-485.
[2]
Laurent, S., Perters, J. P.. G@RCH 4.0, estimating and forecasting ARCH models[J].Timberlake Consultants, 2005.
[3]
Ricardo, A.. The Estimation of Market VaR Using GARCH Models and a Heavy Tail Dis-tributions. Working Paper Series, 2006.
Bailliie, R. T., Bollerslev, T., Mikkelsen, H.. Fractional integrated generalized autoregressive conditional heteroskedasticity[J]. Journal of Econometrics, 1996, 74: 3-30.
[8]
Tse, Y. K.. The conditional heteroscedasticity of Yen-dollar exchange rate[J]. Journal of Applied Econometrics, 1998, 13: 49-55. 3.0.CO;2-O target="_blank">
Granger, C. W. J.. Long memory relationships and the aggregation of bynamic models [J]. Journal of Econometrics, 1980, 14: 227-238.
[19]
Hosking, J. R. M.. Fractional differencing [J]. Biometrika, 1981, 68: 165-176.
[20]
Davidson, J.. Moment and memory properties of linear conditional heteroscedasticity models, and a new model[J]. Journal of Business & Economic Statistics, 2004, 22: 16-29.
[21]
Tang, T. L., Shieh, S. J.. Long-memory in stock index futures markets: A value-at-risk approach[J]. Physica A, 2006, 366: 437-448.
[22]
Kupiec, P.H.. Techniques for verifying the accuracy of risk measurement models[J]. Journal of Derivatives, 1995,(3): 73-84.
Lamoureux, C. G., William, D. L.. Forecasting stock return variance: Toward an understanding of stochastic impied volatilities[J]. Review of Financial Studies, 1993, 5: 293-326.
[25]
Hamilton, J. D.. Time Series Analysis[M]. Princeton University Press, 1994.
