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of three different specifications of the first-order STAR-GARCH model, and sufficient conditions for the existence of …Nonlinear time series models, especially those with regime-switching and GARCH errors, have become increasingly popular …
Persistent link: https://www.econbiz.de/10011933956
- Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10010837896
- Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10008765700
- Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10008774524
- Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10008800914
-Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10011858424
-Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10011865378
Persistent link: https://www.econbiz.de/10012222593
-Generalized Autoregressive Conditional Heteroskedasticity (STAR-GARCH) can be problematic due to computational difficulties. Conventional … makes Quasi-Maximum Likelihood Estimator (QMLE) difficult to obtain for STAR-GARCH models in practice. Curiously, there has … STAR-GARCH using QMLE. The aim of the paper is to investigate the nature of the numerical difficulties using Monte Carlo …
Persistent link: https://www.econbiz.de/10010869931
Persistent link: https://www.econbiz.de/10011615340