Baştürk, N., Borowska, A., Grassi, S., Hoogerheide, L., and van Dijk, H. (2019). Forecast density combinations of dynamic models and data driven portfolio strategies. Journal of Econometrics.
179 Key Publications
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Boswijk, H., Bun, M., and Schinkel, M. (2019). Cartel dating. Journal of Applied Econometrics, 34(1):26-42. With supporting information. -
Christensen, B. and van der Wel, M. (2019). An asset pricing approach to testing general term structure models. Journal of Financial Economics, to appear. -
Opschoor, A., Janus, P., Lucas, A., and Van Dijk, D. (2018). New heavy models for fat-tailed realized covariances and returns. Journal of Business and Economic Statistics, pages 643-657. -
Keijsers, B., Diris, B., and Kole, H. (2018). Cyclicality in losses on bank loans. Journal of Applied Econometrics, 33(4):533-552. -
Boswijk, H., Laeven, R., and Yang, X. (2018). Testing for self-excitation in jumps. Journal of Econometrics, 203(2):256-266. With supplementary file. -
Kleibergen, F., Dovonon, P., and Hall, A. (2018a). Inference in second order identified models. Journal of Econometrics. -
Koopman, S., 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. -
Blasques, F. and Duplinskiy, A. (2018). Penalized indirect inference. Journal of Econometrics, 205(1):34-54. -
De Luca, G., Magnus, J., and Peracchi, F. (2018b). Weighted-average least squares estimation of generalized linear models. Journal of Econometrics, 204(1):1-17. -
Lucas, A., Schaumburg, J., and Schwaab, B. (2018). Bank business models at zero interest rates. Journal of Business and Economic Statistics, pages 1-14. -
van Ophem, J., van Giersbergen, N., van Garderen, K., and Bun, M. (2018). The cyclicality of R&D investment revisited. Journal of Applied Econometrics. -
Boot, T. and Pick, A. (2018). Optimal forecasts from markov switching models. Journal of Business and Economic Statistics, 36(4):628-642. -
Kole, H. and van Dijk, D. (2017). How to identify and forecast bull and bear markets? Journal of Applied Econometrics, 32(1):120-139. -
Opschoor, A., van Dijk, D., and van der Wel, M. (2017b). Combining density forecasts using focused scoring rules. Journal of Applied Econometrics, 32(7):1298-1313. -
Schwaab, B., Koopman, S., and Lucas, A. (2017). Global credit risk: World, country and industry factors. Journal of Applied Econometrics, 32(2):296-317. -
Barra, I., Hoogerheide, L., Koopman, S., and Lucas, A. (2017). Joint Bayesian analysis of parameters and states in nonlinear, non-gaussian state space models. Journal of Applied Econometrics, 32(5):1003-1026. -
Koopman, S. and Mesters, G. (2017). Empirical Bayes methods for dynamic factor models. Review of Economics and Statistics, 99(3):486-498. -
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. -
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.