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Reprint of: Generalized Autoregressive Conditional Heteroskedasticity

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  • Bollerslev, Tim

Abstract

A natural generalization of the ARCH (Autoregressive Conditional Heteroskedastic) process introduced in Engle (1982) 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.

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  • Bollerslev, Tim, 2023. "Reprint of: Generalized Autoregressive Conditional Heteroskedasticity," Journal of Econometrics, Elsevier, vol. 234(S), pages 25-37.
  • Handle: RePEc:eee:econom:v:234:y:2023:i:s:p:25-37
    DOI: 10.1016/j.jeconom.2023.02.001
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    6. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
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    1. Khreshna Syuhada & Rizka Puspitasari & I Kadek Darma Arnawa & Lailatul Mufaridho & Elonasari Elonasari & Miftahul Jannah & Aniq Rohmawati, 2024. "Enhancing Value-at-Risk with Credible Expected Risk Models," IJFS, MDPI, vol. 12(3), pages 1-15, August.

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