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isPartOf:"CORE discussion papers : DP"
type_genre:"Graue Literatur"
~isPartOf:"Série des documents de travail du CREST / Institut National de la Statistique et des Etudes Economiques"
~isPartOf:"Série des documents de travail"
~subject:"Volatilität"
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Search: subject_exact:"Estimation theory"
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CORE discussion papers : DP
Série des documents de travail du CREST / Institut National de la Statistique et des Etudes Economiques
Série des documents de travail
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27
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
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DCC-HEAVY : a multivariate GARCH model based on realized variances and correlations
Bauwens, Luc
;
Xu, Yongdeng
-
2019
Persistent link: https://www.econbiz.de/10012215175
Saved in:
2
Consistent pseudo-maximum likelihood estimators and groups of transformations
Gouriéroux, Christian
;
Monfort, Alain
;
Zakoïan, …
-
2018
-
Revised version, June 2018
Persistent link: https://www.econbiz.de/10012201146
Saved in:
3
Nonlinearities and regimes in conditional correlations with different dynamics
Bauwens, Luc
;
Otranto, Edoardo
-
2018
Persistent link: https://www.econbiz.de/10011992647
Saved in:
4
Parametric estimation of hidden Markov models by least squares type estimation and deconvolution
Chesneau, Christophe
;
El Kolei, Salima
;
Navarro, Fabien
-
2017
Persistent link: https://www.econbiz.de/10012200019
Saved in:
5
On asymptotic theory for ARCH models
Hafner, Christian M.
;
Preminger, Arie
-
2016
Persistent link: https://www.econbiz.de/10011893997
Saved in:
6
A flexible state-space model with application to stochastic volatility
Gouriéroux, Christian
;
Lu, Yang
-
2016
Persistent link: https://www.econbiz.de/10012196330
Saved in:
7
Deciding between GARCH and stochastic volatility via strong decision rules
Preminger, Arie
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003329726
Saved in:
8
Stochastic volatility duration models
Ghysels, Eric
;
Gouriéroux, Christian
;
Jasiak, Joann
-
1997
Persistent link: https://www.econbiz.de/10000980453
Saved in:
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