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Global credit risk : world, country and industry factors

Schwaab, Bernd; Koopman, Siem Jan; Lucas, André - 2015

area sovereign debt crises. We find that macro and default-specific world factors are a primary source of default …

Persistent link: https://www.econbiz.de/10010484886

Klaassen, Franc; Teulings, Rutger - 2017

all variables proposed by theory, despite a broad set of fixed effects (FE). We find that both REERs are important and … multilateral resistances. Untangling normalization helps to get a better view of what is still unexplained by theory. …

Persistent link: https://www.econbiz.de/10011791519

Generalized dynamic panel data models with random effects for cross-section and time

Mesters, Geert; Koopman, Siem Jan - 2012

Persistent link: https://www.econbiz.de/10009722706

Systemic risk diagnostics : coincident indicators and early warning signals

Schwaab, Bernd; Lucas, André; Koopman, Siem Jan - 2010

Persistent link: https://www.econbiz.de/10008771823

Likelihood-based analysis for dynamic factor models

Jungbacker, Borus; Koopman, Siem Jan - 2008

Persistent link: https://www.econbiz.de/10003645197

An hourly periodic state space model for modelling French national electricity load

Dordonnat, V.; Koopman, Siem Jan; Ooms, Marius; … - 2008

Persistent link: https://www.econbiz.de/10003645204

A general framework for observation driven time-varying parameter models

Creal, Drew; Koopman, Siem Jan; Lucas, André - 2008

Persistent link: https://www.econbiz.de/10003787160

Likelihood functions for state space models with diffuse initial conditions

Francke, Marc K.; Koopman, Siem Jan; Vos, Aart F. de - 2008

Persistent link: https://www.econbiz.de/10003706020

Dynamic factor analysis in the presence of missing data

Jungbacker, Borus; Koopman, Siem Jan; Wel, Michel van der - 2009

Persistent link: https://www.econbiz.de/10003813787

Likelihood-based analysis for dynamic factor models

Jungbacker, Borus; Koopman, Siem Jan - 2008

We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...

Persistent link: https://www.econbiz.de/10011373811