A Note on “Continuous Invertibility and Stable QML Estimation of the EGARCH(1,1) Model”
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References listed on IDEAS
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- Olivier Wintenberger, 2013.
"Continuous Invertibility and Stable QML Estimation of the EGARCH(1,1) Model,"
Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 846-867, December.
- Wintenberger, Olivier, 2013. "Continuous invertibility and stable QML estimation of the EGARCH(1,1) model," MPRA Paper 46027, University Library of Munich, Germany.
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Cited by:
- F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016.
"Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models,"
Papers
1610.02863, arXiv.org.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2018. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Post-Print hal-01377971, HAL.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2016. "Feasible Invertibility Conditions and Maximum Likelihood Estimation for Observation-Driven Models," Tinbergen Institute Discussion Papers 16-082/III, Tinbergen Institute.
- F Blasques & P Gorgi & S J Koopman & O Wintenberger, 2016. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models ," Working Papers hal-01377971, HAL.
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More about this item
Keywords
invertibility; quasi-maximum likelihood estimator; volatility models;All these keywords.
JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2016-02-29 (Econometrics)
- NEP-ETS-2016-02-29 (Econometric Time Series)
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