235 Key Publications

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  Boswijk, H., Laeven, R. and Yang, X. (2018). Testing for self-excitation in jumps Journal of Econometrics, 203(2):256--266.

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  Keijsers, B., Diris, B. and Kole, E. (2018). Cyclicality in losses on bank loans Journal of Applied Econometrics, 33(4):533--552.

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  Blasques, F. and Duplinskiy, A. (2018). Penalized indirect inference Journal of Econometrics, 205(1):34--54.

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  Schwaab, B., Koopman, S. and Lucas, A. (2017). Global Credit Risk: World, Country and Industry Factors Journal of Applied Econometrics, 32(2):296--317.

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  Koopman, S. and Mesters, G. (2017). Empirical Bayes Methods for Dynamic Factor Models Review of Economics and Statistics, 99(3):486--498.

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  Koopman, S., Lit, R. and Lucas, A. (2017). Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model Journal of the American Statistical Association, 112(520):1490--1503.

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  Lucas, A., Schwaab, B. and Zhang, X. (2017). Modeling Financial Sector Joint Tail Risk in the Euro Area Journal of Applied Econometrics, 32(1):171--191.

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  Karabiyik, H., Reese, S. and Westerlund, J. (2017). On the role of the rank condition in CCE estimation of factor-augmented panel regressions Journal of Econometrics, 197(1):60--64.

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  Kole, E. and van Dijk, D. (2017). How to identify and forecast bull and bear markets? Journal of Applied Econometrics, 32(1):120--139.

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  Opschoor, A., Van Dijk, D. and van der Wel, M. (2017). Combining density forecasts using focused scoring rules Journal of Applied Econometrics, 32(7):1298--1313.

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  Westerlund, J., Karabiyik, H. and Narayan, P. (2017). Testing for predictability in panels with general predictors Journal of Applied Econometrics, 32(3):554--574.

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  Blasques, F., Koopman, S., Lucas, A. and Schaumburg, J. (2016). Spillover dynamics for systemic risk measurement using spatial financial time series models Journal of Econometrics, 195(2):211--223.

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  Blasques Albergaria Amaral, F., Koopman, S., Mallee, M. and Zhang, Z. (2016). Weighted Maximum Likelihood for Dynamic Factor Analysis and Forecasting with Mixed Frequency Data Journal of Econometrics, 193(2):405--417.

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  Christensen, B., Posch, O. and van der Wel, M. (2016). Estimating Dynamic Equilibrium Models using Macro and Financial Data Journal of Econometrics, 194(1):116--137.

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  Koopman, S., Lucas, A. and Scharth, M. (2016). Predicting time-varying parameters with parameter-driven and observation-driven models Review of Economics and Statistics, 98(1):97--110.

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  van Dijk, D., Lumsdaine, R. and van der Wel, M. (2016). Market set-up in advance of Federal Reserve policy rate decisions Economic Journal, 126(592):618--653.

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  Boswijk, H., Cavaliere, G., Rahbek, A. and Taylor, A. (2016). Inference on co-integration parameters in heteroskedastic vector autoregressions Journal of Econometrics, 192(1):64--85.

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  Francesco Ravazzolo (2016). Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov-Switching VAR Model Journal of Applied Econometrics.

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  Koopman, S., Lucas, A. and Scharth, M. (2015). Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models Journal of Business and Economic Statistics, 33(1):114--127.

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  Kleibergen, F. and Zhan, Z. (2015). Unexplained factors and their effects on second pass R-squared’s Journal of Econometrics, 189(1):101--116.