ASYMPTOTIC INFERENCE FOR UNIT ROOT PROCESSES WITH GARCH(1,1) ERRORS
By S. Ling, Wai Keung Li. Econometric Theory, 2003
58 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/5c8b57e1b9fb92e994be79bec0424a17419e96d1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Christian Francq
- Jean-Michel Zakoian
- S. Ling
- Ngai Hang Chan
- K. Zhu
- Olivier Wintenberger
- Christian M. Hafner
- Michael Mcaleer
In Finance
- Christian Francq
- Jean-Michel Zakoian
- S. Ling
- Ngai Hang Chan
- Olivier Wintenberger
- Christian M. Hafner
- K. Zhu
- Michael Mcaleer
Citations in the corpus
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes (2004, background): “See also Ling and Li (2003) and Ling and McAleer (2003b) for related work.”
- Estimation and testing stationarity for double‐autoregressive models (2004, methodology): “Model (1.1) is also different from the models in Ling and Li (1997, 1998, 2003) , where "t is specified as the standard GARCH model and does not directly depend on the observation yt−1.”
- EMPIRICAL LIKELIHOOD FOR GARCH MODELS (2006, methodology): “…presented in the GARCH component, more powerful unit root tests based on the quasi-maximum likelihood estimator ~QMLE! can be constructed ~see Ling and Li, 1998, 2003; Seo, 1999!+ Simulation studies based on quasi-maximum likelihood estimation can be found in Seo ~1999! and Ling, Li, and…”