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~isPartOf:"CAMP working paper series"
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~isPartOf:"Working papers / Innocenzo Gasparini Institute for Economic Research"
~language:"eng"
~person:"Florax, Raymond J. G. M."
~person:"Gil-Alaña, Luis A."
~person:"Heckman, James J."
~person:"Koopman, Siem Jan"
~person:"Ravazzolo, Francesco"
~person:"Whalley, John"
~subject:"Kreditrisiko"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Meta-Analyse"
~subject:"Prognoseverfahren"
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~type_genre:"Collection of articles written by one author"
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~type_genre:"Handbuch"
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121
A dynamic multivariate heavy-tailed model for time-varying volatilities and correlations
Creal, Drew
;
Koopman, Siem Jan
;
Lucas, André
-
2010
We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...
Persistent link: https://www.econbiz.de/10011380135
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122
Systemic risk diagnostics
Schwaab, Bernd
;
Lucas, André
;
Koopman, Siem Jan
-
2010
, and the rest of the
world
. Controlling for global,region-specific, and industry effects, we construct coincident measures …
Persistent link: https://www.econbiz.de/10011382067
Saved in:
123
Observation driven mixed-measurement dynamic factor models with an application to credit risk
Creal, Drew
;
Schwaab, Bernd
;
Koopman, Siem Jan
;
Lucas, …
-
2011
This paper has been accepted for publication in the 'Review of Economics and Statistics'.We propose a dynamic factor model for mixed-measurement and mixed-frequency panel data. In this framework time series observations may come from a range of families of parametric distributions, may be...
Persistent link: https://www.econbiz.de/10011383248
Saved in:
124
Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Koopman, Siem Jan
;
Lucas, André
;
Scharth, Marcel
-
2012
We introduce a new efficient importance sampler for nonlinear non-Gaussian state space models. We propose a general and efficient likelihood evaluation method for this class of models via the combination of numerical and Monte Carlo integration methods. Our methodology explores the idea that...
Persistent link: https://www.econbiz.de/10011386179
Saved in:
125
Modeling dynamic volatilities and correlations under skewness and fat tails
Zhang, Xin
;
Creal, Drew
;
Koopman, Siem Jan
;
Lucas, André
-
2011
We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...
Persistent link: https://www.econbiz.de/10011386468
Saved in:
126
Using matching, instrumental variables and control functions to estimate economic choice models
Heckman, James J.
;
Navarro-Lozano, Salvador
-
2003
Persistent link: https://www.econbiz.de/10001738733
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127
Time series models with a common stochastic variance for analysing economic time series
Koopman, Siem Jan
;
Bos, Charles S.
-
2002
Persistent link: https://www.econbiz.de/10001718624
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128
Ownership and use taxes as congestion correcting instruments
Chia, Ngee-Choon
;
Tsui, Albert K.
;
Whalley, John
-
2001
Persistent link: https://www.econbiz.de/10001585163
Saved in:
129
How often are propositions on the effects of customs unions theoretical curiosa and when should they guide policy?
Abrego, Lisandro E.
;
Riezman, Raymond Glenn
;
Whalley, John
-
2001
Persistent link: https://www.econbiz.de/10001587407
Saved in:
130
Fractional integration and business cycle features
Candelon, Bertrand
;
Gil-Alaña, Luis A.
-
2001
Persistent link: https://www.econbiz.de/10001590381
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