Bollerslev, Tim Generalized autoregressive conditional heteroscedasticity. (English) Zbl 0616.62119 J. Econom. 31, 307-327 (1986). A natural generalization of the ARCH (autoregressive conditional heteroscedastic) process inroduced by R. F. Engle [Econometrica 50, 987-1008 (1982; Zbl 0491.62099)] to allow for past conditional variances in the current conditional variance equation is proposed. Stationarity conditions and autocorrelation structure for this new class of parametric models are derived. Maximum likelihood estimation and testing are also considered. Finally an empirical example relating to the uncertainty of the inflation rate is presented. Cited in 23 ReviewsCited in 1636 Documents MSC: 62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH) 62P20 Applications of statistics to economics Keywords:generalized ARCH process; autoregressive conditional heteroscedastic; past conditional variances; Stationarity conditions; autocorrelation structure; Maximum likelihood estimation; inflation rate Citations:Zbl 0491.62099 PDF BibTeX XML Cite \textit{T. Bollerslev}, J. Econom. 31, 307--327 (1986; Zbl 0616.62119) Full Text: DOI References: [1] Berndt, E. K.; Hall, B. H.; Hall, R. E.; Hausman, J. A., Estimation inference in nonlinear structural models, Annals of Economic and Social Measurement, no. 4, 653-665 (1974) [2] Box, G. E.P.; Jerkins, J. M., Time series analysis: Forecasting and control (1976), Holden-Day: Holden-Day San Francisco, CA [3] Breusch, T. S.; Pagan, A. 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