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The main contribution of this paper is a proof of the asymptotic validity of the application of the bootstrap to AR(∞) processes with unmodelled conditional heteroskedasticity. We first derive the asymptotic properties of the least-squares estimator of the autoregressive sieve parameters when...
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-stationarity and ARIMA(p,d,q) processes -- Seasonal ARMA(p,q) processe -- Unit root tests -- Structural Breaks -- ARCH, GARCH and Time …
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-- Chapter 4: Unit Root and Stationarity Tests -- Chapter 5: Structural Breaks and Non-Stationairty -- Chapter 6: ARCH, GARCH and …
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conditional heteroskedastic (GARCH) models. The second part of the text is devoted to multivariate processes, such as vector …
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