Boswijk, H., Laeven, R. and Yang, X. (2018). Testing for self-excitation in jumps Journal of Econometrics, 203(2):256--266.
235 Key Publications
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Blasques, F. and Duplinskiy, A. (2018). Penalized indirect inference Journal of Econometrics, 205(1):34--54.
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Koopman, S.J., Lit, R., Lucas, A. and Opschoor, A. (2018). Dynamic discrete copula models for high-frequency stock price changes Journal of Applied Econometrics, 33(7):966--985.
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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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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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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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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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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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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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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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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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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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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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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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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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Kleibergen, F. and Zhan, Z. (2015). Unexplained factors and their effects on second pass R-squared’s Journal of Econometrics, 189(1):101--116.
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Boswijk, H., Jansson, M. and Nielsen, M. (2015). Improved likelihood ratio tests for cointegration rank in the VAR model Journal of Econometrics, 184(1):97--110.