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~accessRights:"free"
~isPartOf:"BIS working papers"
~isPartOf:"Discussion paper / Statistics Netherlands"
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~isPartOf:"HWWA discussion paper"
~language:"eng"
~person:"Dijk, Dick van"
~person:"Florax, Raymond J. G. M."
~person:"Gautier, Pieter"
~person:"Gil-Alaña, Luis A."
~person:"Heckman, James J."
~person:"Hoogerheide, Lennart F."
~person:"Koopman, Siem Jan"
~person:"Ravazzolo, Francesco"
~person:"Teulings, Coen N."
~person:"Wel, Michel van der"
~subject:"Kalman filter"
~subject:"Kreditrisiko"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Meta-Analyse"
~subject:"Prognoseverfahren"
~subject:"Schätzung"
~subject:"USA"
~subject:"United States"
~subject:"Volatilität"
~type:"book"
~type_genre:"Handbuch"
~type_genre:"Non-commercial literature"
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Dijk, Dick van
Florax, Raymond J. G. M.
Gautier, Pieter
Gil-Alaña, Luis A.
Heckman, James J.
Hoogerheide, Lennart F.
Koopman, Siem Jan
Ravazzolo, Francesco
Teulings, Coen N.
Wel, Michel van der
Lucas, André
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Asai, Manabu
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ECONIS (ZBW)
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61
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
Saved in:
62
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:
63
Modeling and estimation of synchronization in multistate Markov-switching models
Çakmaklı, Cem
;
Paap, Richard
;
Dijk, Dick van
-
2010
This paper develops a Markov-Switching vector autoregressive model that allows for imperfect synchronization of cyclical regimes in multiple variables, due to phase shifts of a single common cycle. The model has three key features: (i) the amount of phase shift can be different across regimes...
Persistent link: https://www.econbiz.de/10011382676
Saved in:
64
An alternative Bayesian approach to structural breaks in time series models
Hauwe, Sjoerd van den
;
Paap, Richard
;
Dijk, Dick van
-
2011
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10011383033
Saved in:
65
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:
66
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:
67
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:
68
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:
69
Business and default cycles for credit risk
Koopman, Siem Jan
;
Lucas, André
-
2003
Persistent link: https://www.econbiz.de/10001792714
Saved in:
70
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
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