Asymptotic properties of LS and QML estimators for a class of nonlinear GARCH processes
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Publication:710816
DOI10.1016/j.jspi.2010.06.026zbMath1197.62128OpenAlexW2089869042MaRDI QIDQ710816
Tawfik Hamadeh, Jean-Michel Zakoian
Publication date: 22 October 2010
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2010.06.026
maximum likelihood estimationleast-squaresconditional heteroskedasticitythreshold GARCHpower-transformed volatility
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Cites Work
- Estimation and tests for power-transformed and threshold GARCH models
- Asymptotic normality of the quasi-maximum likelihood estimator for multidimensional causal processes
- Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
- Stationarity of GARCH processes and of some nonnegative time series
- GARCH processes: structure and estimation
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- Generalized autoregressive conditional heteroscedasticity
- Power transformation and threshold modeling for ARCH innovations with applications to tests for ARCH structure.
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- ESTIMATING THE ARCH PARAMETERS BY SOLVING LINEAR EQUATIONS
- QUASI-MAXIMUM LIKELIHOOD ESTIMATION OF SEMI-STRONG GARCH MODELS
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- A Class of Nonlinear Arch Models
- The Lindeberg-Levy Theorem for Martingales
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