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type:"book"
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CORE discussion paper : DP
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A dynamic component model for forecasting high-dimensional realized covariance matrices
Bauwens, Luc
;
Braione, Manuela
;
Storti, Giuseppe
-
2016
Persistent link: https://www.econbiz.de/10011581858
Saved in:
2
A new approach to volatility modeling : the high-dimensional Markov Model
Augustyniak, Maciej
;
Bauwens, Luc
;
Dufays, Arnaud
-
2016
Persistent link: https://www.econbiz.de/10011894434
Saved in:
3
Estimation and empirical performance of non-scalar dynamic conditional correlation models
Bauwens, Luc
;
Grigoryeva, Lyudmila
;
Ortega, Juan-Pablo
-
2014
Persistent link: https://www.econbiz.de/10010385192
Saved in:
4
Modeling the dependence of conditional correlations on volatility
Bauwens, Luc
;
Otranto, Edoardo
-
2013
Persistent link: https://www.econbiz.de/10010203488
Saved in:
5
Forecasting long memory processes subject to structural breaks
Wang, Shin-huei
;
Bauwens, Luc
;
Hsiao, Cheng
-
2012
Persistent link: https://www.econbiz.de/10009731091
Saved in:
6
Marginal likelihood for Markov-switching and change-point GARCH models
Bauwens, Luc
;
Dufays, Arnaud
;
Rombouts, Jeroen V. K.
-
2011
Persistent link: https://www.econbiz.de/10009504878
Saved in:
7
Volatility models
Bauwens, Luc
;
Hafter, Christian
;
Laurent, Sébastien
-
2011
Persistent link: https://www.econbiz.de/10009390311
Saved in:
8
On marginal likelihood computation in change-point models
Bauwens, Luc
;
Rombouts, Jeroen V. K.
-
2009
Persistent link: https://www.econbiz.de/10003965962
Saved in:
9
Shareholder-efficient production plans in a multi-period economy
Drèze, Jacques H.
(
contributor
); …
-
2007
Persistent link: https://www.econbiz.de/10003570886
Saved in:
10
Modelling financial high frequency data using point processes
Bauwens, Luc
(
contributor
);
Hautsch, Nikolaus
(
contributor
)
-
2006
Persistent link: https://www.econbiz.de/10003375931
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