Report NEP-ETS-2016-07-09

This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Yong Yin issued this report. It is usually issued weekly.

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Other reports in NEP-ETS

The following items were announced in this report:

• Michal Franta, 2016. "Iterated Multi-Step Forecasting with Model Coefficients Changing Across Iterations," Working Papers 2016/05, Czech National Bank.
• Jianbin Wu & Geert Dhaene, 2016. "Sparse multivariate GARCH," Working Papers of Department of Economics, Leuven 544324, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
• Geert Dhaene & Jianbin Wu, 2016. "Mixed-frequency multivariate GARCH," Working Papers of Department of Economics, Leuven 544330, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
• Geert Dhaene & Piet Sercu & Jianbin Wu, 2016. "The risk-return tradeoff in international stock markets: one-step multivariate GARCH-M estimation with many assets," Working Papers of Department of Economics, Leuven 544332, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
• Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016. "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series WP-2016-5, Federal Reserve Bank of Chicago.
• Fengler, Matthias R. & Herwartz, Helmut, 2015. "Measuring spot variance spillovers when (co)variances are time-varying - the case of multivariate GARCH models," MPRA Paper 72197, University Library of Munich, Germany, revised 10 Jun 2016.
• Jack Fosten, 2016. "Forecast evaluation with factor-augmented models," University of East Anglia School of Economics Working Paper Series 2016-05, School of Economics, University of East Anglia, Norwich, UK..
• Jack Fosten, 2016. "Model selection with factors and variables," University of East Anglia School of Economics Working Paper Series 2016-07, School of Economics, University of East Anglia, Norwich, UK..
• Adams, Zeno & Fuess, Roland & Glueck, Thorsten, 2016. "Are Correlations Constant? Empirical and Theoretical Results on Popular Correlation Models in Finance," Working Papers on Finance 1613, University of St. Gallen, School of Finance.