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~isPartOf:"BIS working papers"
~isPartOf:"Development studies working papers / Centro Studi Luca d'Agliano"
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~isPartOf:"HWWA discussion paper"
~isPartOf:"Research memorandum / METEOR"
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~isPartOf:"Working paper / Norges Bank"
~isPartOf:"Working paper series / Universiteit Gent, Faculteit Economie en Bedrijfskunde"
~isPartOf:"Working papers / Federal Reserve Bank of Boston"
~language:"eng"
~person:"Barrell, Ray"
~person:"Florax, Raymond J. G. M."
~person:"Francois, Joseph F."
~person:"Gil-Alaña, Luis A."
~person:"Heckman, James J."
~person:"Koopman, Siem Jan"
~person:"Pozzi, Lorenzo"
~person:"Ravazzolo, Francesco"
~person:"Vries, Casper G. de"
~subject:"Kreditrisiko"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Meta-Analyse"
~subject:"Prognoseverfahren"
~subject:"Schätzung"
~subject:"Simulation"
~subject:"USA"
~subject:"United States"
~subject:"Volatilität"
~subject:"Wirtschaftswachstum"
~subject:"World"
~type_genre:"Collection of articles written by one author"
~type_genre:"Handbuch"
~type_genre:"Non-commercial literature"
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Barrell, Ray
Florax, Raymond J. G. M.
Francois, Joseph F.
Gil-Alaña, Luis A.
Heckman, James J.
Koopman, Siem Jan
Pozzi, Lorenzo
Ravazzolo, Francesco
Vries, Casper G. de
Lucas, André
44
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25
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14
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13
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91
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:
92
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:
93
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:
94
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:
95
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
Saved in:
96
Fractional integration and business cycle features
Candelon, Bertrand
;
Gil-Alaña, Luis A.
-
2001
Persistent link: https://www.econbiz.de/10001590381
Saved in:
97
The stochastic volatility on mean model : empirical evidence from international stock markets
Koopman, Siem Jan
;
Uspensky, Eugenie Hol
-
2000
Persistent link: https://www.econbiz.de/10001472890
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98
Credit rationing effects of credit value-at-risk
Slijkerman, Jan Frederik
;
Smant, David Jan Cornelis
; …
-
2004
Persistent link: https://www.econbiz.de/10001993211
Saved in:
99
Business and default cycles for credit risk
Koopman, Siem Jan
;
Lucas, André
-
2003
Persistent link: https://www.econbiz.de/10001792714
Saved in:
100
Tracking growth and the business cycle : a stochastic common cycle model for the euro area
Azevedo, João Valle e
;
Koopman, Siem Jan
;
Rua, António
-
2003
Persistent link: https://www.econbiz.de/10001792789
Saved in:
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