45 Key Publications

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  Creal, D., Schwaab, B., Koopman, S. and Lucas, A. (2014). Observation Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk Review of Economics and Statistics, 96(5):898--915.

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  Mesters, G. and Koopman, S. (2014). Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time Journal of Econometrics, 180(2):127--140.

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  Jungbacker, B., Koopman, S. and van der Wel, M. (2014). Smooth Dynamic Factor Analysis with Application to the U.S. Term Structure of Interest Rates Journal of Applied Econometrics, 29(1):65--90.

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  Creal, D., Koopman, S. and Lucas, A. (2013). General Autoregressive Score Models with Applications Journal of Applied Econometrics, 28(5):777--795.

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  Koopman, S., Lucas, A. and Schwaab, B. (2012). Dynamic Factor Models With Macro, Frailty and Industry Effects for U.S. Default Counts: The Credit Crisis of 2008 Journal of Business and Economic Statistics, 30(4):521--532.

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  Creal, D., Koopman, S. and Lucas, A. (2011). A dynamic multivariate heavy-tailed model for time-varying volatilities and correlations Journal of Business and Economic Statistics, 29(4):552--563.

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  Koopman, S., Lucas, A. and Schwaab, B. (2011). Modeling frailty correlated defaults using many macroeconomic covariates Journal of Econometrics, 162(2):312--325.

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  Koopman, S., Mallee, M. and van der Wel, M. (2010). Analyzing the term structure of interest rates using the dynamic Nelson-Siegel model with time-varying parameters Journal of Business and Economic Statistics, 28:329--343.

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  Koopman, S. and Creal, D. (2010). Extracting a robust U.S. business cycle using a time-varying multivariate model-based bandpass filter Journal of Applied Econometrics, 25:695--719.

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  Koopman, S., Shephard, N. and Creal, D. (2009). Testing the assumptions behind importance sampling Journal of Econometrics, 149:2--11.

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  Koopman, S., Lucas, A. and Monteiro, A. (2008). The Multi-state Latent Factor Intensity Model for Credit Rating Transitions Journal of Econometrics, 142:399--424.

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  Koopman, S. and Lucas, A. (2008). A Non-Gaussian Panel Time series Model for Estimating and Decomposing Default Risk Journal of Business and Economic Statistics, 26(4):510--525.

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  Ooms, M., Koopman, S. and Carnero, A. (2007). Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices Journal of the American Statistical Association, 102(477):16--27.

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  Menkveld, A., Koopman, S. and Lucas, A. (2007). Modelling Round-the-Clock Price Discovery for Cross-Listed Stocks using State Space Methods Journal of Business and Economic Statistics, 25(2):213--255.

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  Azevedo, J., Koopman, S. and Rua, A. (2006). Tracking the business cycle of the Euro area: A multivariate model-based band-pass filter Journal of Business and Economic Statistics, 24(3):278--290.

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  Koopman, S. and Lucas, A. (2005). Business and Default Cycles for Credit Risk Journal of Applied Econometrics, 20:311--323.

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  Koopman, S. and Luginbuhl, R. (2004). Convergence in European GDP Series Journal of Applied Econometrics, 19(5):611--636.

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  Koopman, S. and Hol Uspensky, E. (2002). The Stochastic Volatility in Mean Model: Empirical evidence from international stock markets Journal of Applied Econometrics, 17:667--689.

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  Koopman, S., Shephard, N. and Doornik, J. (1999). Statistical algorithms for models in state space using SsPack 2.2 Journal of Econometrics, (2):113--166.

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  Sandmann, G. and Koopman, S.J. (1998). Estimation of stochastic volatility models via Monte Carlo maximum likelihood Journal of Econometrics, 87(2):271--301.