A CLOSED-FORM ESTIMATOR FOR THE GARCH(1,1) MODEL
By Dennis Kristensen, Oliver B. Linton. Econometric Theory, 2006
68 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f2272ca3dcc7da61555db435c610bee1c97070b3
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
- Donald W. K. Andrews
- Patrik Guggenberger
- Esther Ruiz
- D. Pena
- Christian M. Hafner
- Arie Preminger
- M. A. Carnero
- Xu Cheng
In Finance
- Patrik Guggenberger
- Donald W. K. Andrews
- Esther Ruiz
- D. Pena
- Christian M. Hafner
- Arie Preminger
- M. A. Carnero
- Adam Mccloskey
In Statistics and Probability
- Patrik Guggenberger
- Donald W. K. Andrews
- Esther Ruiz
- D. Pena
- Christian M. Hafner
- Arie Preminger
- M. A. Carnero
- Jörg Stoye
Citations in the corpus
- Hybrid and Size-Corrected Subsampling Methods (2007, methodology): “The GARCH parameters are estimated by the closed-form estimator of Kristensen and Linton (2006).”
- ASYMPTOTIC THEORY FOR A FACTOR GARCH MODEL (2009, methodology): “For the univariate GARCH model, GMM-type estimators based on the autoregressive moving average (ARMA) representation of the squared GARCH process also have been proposed; see, e.g., Baillie and Chung (2001), Kristensen and Linton (2006), and Storti (2006).”
- Effects of outliers on the identification and estimation of GARCH models (2007, methodology): “Second, we consider the closed-form estimator proposed by Kristensen and Linton (2006) which is based on the Yule–Walker equations corresponding to the ARMA representation of squared observations. The robustness properties of the QML(3) estimator of the parameters of GARCH models have been analysed ”