Modeling multiple regimes in financial volatility with a flexible coefficient garch(1,1) model

Keyphrases

• Generalized Autoregressive Conditional Heteroscedasticity (GARCH) 100%
• Multiple Regimes 100%
• Financial Volatility 100%
• Parameter Estimation 50%
• Size Asymmetry 50%
• Explosives 50%
• Identification Problem 50%
• Simulation Experiment 50%
• Quasi-maximum Likelihood Estimation 50%
• Kurtosis 50%
• Stationarity 50%
• Asymptotic Properties 50%
• Finite Sample Properties 50%
• Gaussian Errors 50%
• Monte Carlo Experiment 50%
• Strictly Stationary 50%
• Weaker Conditions 50%
• Intermittent Dynamics 50%
• Nonlinear Time Series Model 50%
• GARCH (1,1) Model 50%
• Nonlinear GARCH 50%
• Simple Sequence 50%
• Strictly Ergodic 50%
• First-order Autocorrelation 50%

Mathematics

• Maximum Likelihood Estimator 100%
• Gaussian Distribution 100%
• Monte Carlo 100%
• Kurtosis 100%
• Stationarity 100%
• Asymptotic Property 100%
• Time Series Model 100%
• GARCH Model 100%
• Type Model 100%
• Weaker Condition 100%
• Autocorrelation 100%

Economics, Econometrics and Finance

• Volatility 100%
• Time Series 50%
• ARCH Model 50%
• Kurtosis 50%
• Generalized Autoregressive Conditional Heteroskedasticity 50%