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~isPartOf:"Arbeitspapier / Institut für Volkswirtschaftslehre, Sozial- und Wirtschaftswissenschaftliche Fakultät, Johannes-Kepler-Universität, Linz,"
~isPartOf:"Boston College working papers in economics"
~isPartOf:"Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"Discussion papers / Deutsches Institut für Wirtschaftsforschung"
~isPartOf:"EUI working paper / ECO"
~isPartOf:"Jena economic research papers"
~language:"eng"
~person:"Basu, Susanto"
~person:"Daníelsson, Jón"
~person:"Dreher, Axel"
~person:"Gil-Alaña, Luis A."
~person:"Koopman, Siem Jan"
~person:"Opschoor, Anne"
~person:"Poot, Jacques"
~person:"Pozzi, Lorenzo"
~person:"Praag, Bernard M. S. van"
~subject:"ARCH model"
~subject:"Credit risk"
~subject:"Konjunkturtheorie"
~subject:"Schätzung"
~subject:"Simulation"
~subject:"USA"
~type_genre:"Arbeitspapier"
~type_genre:"Collection of articles written by one author"
~type_genre:"Handbuch"
~type_genre:"Non-commercial literature"
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Basu, Susanto
Daníelsson, Jón
Dreher, Axel
Gil-Alaña, Luis A.
Koopman, Siem Jan
Opschoor, Anne
Poot, Jacques
Pozzi, Lorenzo
Praag, Bernard M. S. van
Lucas, André
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Arbeitspapier / Institut für Volkswirtschaftslehre, Sozial- und Wirtschaftswissenschaftliche Fakultät, Johannes-Kepler-Universität, Linz,
Boston College working papers in economics
Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
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ECONIS (ZBW)
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41
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:
42
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:
43
A class of adaptive EM-based importance sampling algorithms for efficient and robust posterior and predictive simulation
Hoogerheide, Lennart
;
Opschoor, Anne
;
Dijk, Herman K. van
-
2011
A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that exhibit non-elliptical shapes such as multimodality and skewness. The basic method makes use of...
Persistent link: https://www.econbiz.de/10011382695
Saved in:
44
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:
45
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:
46
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:
47
Unemployment and input prices : a fractional cointegration approach
Caporale, Guglielmo Maria
;
Gil-Alaña, Luis A.
-
2001
Persistent link: https://www.econbiz.de/10001606213
Saved in:
48
Fractional integration and business cycle features
Candelon, Bertrand
;
Gil-Alaña, Luis A.
-
2001
Persistent link: https://www.econbiz.de/10001612100
Saved in:
49
A fractionally integrated model with a mean shift for the US and the UK real oil prices
Gil-Alaña, Luis A.
-
2000
Persistent link: https://www.econbiz.de/10001509586
Saved in:
50
A fractionally integrated exponential model for UK unemployment
Gil-Alaña, Luis A.
-
2000
Persistent link: https://www.econbiz.de/10001509590
Saved in:
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