GENERALIZED AUTOREGRESSIVE CONDITIONAL CORRELATION
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Publication:3551009
DOI10.1017/S0266466608080614zbMath1277.62214OpenAlexW2130492799MaRDI QIDQ3551009
Offer Lieberman, Felix T. S. Chan, Michael McAleer, Suhejla Hoti
Publication date: 8 April 2010
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466608080614
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistical methods; economic indices and measures (91B82)
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Cites Work
- Random coefficient autoregressive models: an introduction
- Generalized autoregressive conditional heteroscedasticity
- Asymptotic theory for multivariate GARCH processes.
- ON THE PARAMETRIZATION OF MULTIVARIATE GARCH MODELS
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- Conditional Heteroscedastic Time Series Models
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- THE ESTIMATION OF RANDOM COEFFICIENT AUTOREGRESSIVE MODELS. I
- THE ESTIMATION OF RANDOM COEFFICIENT AUTOGRESSIVE MODELS. II
- Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances
- Estimation When a Parameter is on a Boundary
- On asymptotic tests of composite hypotheses in nonstandard conditions
- AUTOMATED INFERENCE AND LEARNING IN MODELING FINANCIAL VOLATILITY
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