Printed from https://ideas.repec.org/n/nep-for/2017-10-08.html
Report NEP-FOR-2017-10-08
This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Ramazan Gencay & Ege Yazgan, 2017, "When Are Wavelets Useful Forecasters?," Working Papers, The Center for Financial Studies (CEFIS), Istanbul Bilgi University, number 1704, Sep.
- Ibarra-Ramírez Raúl & Gómez-Zamudio Luis M., 2017, "Are daily financial data useful for forecasting GDP? Evidence from Mexico," Working Papers, Banco de México, number 2017-17, Sep.
- Prüser, Jan, 2017, "Forecasting US inflation using Markov dimension switching," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 710, DOI: 10.4419/86788828.
- Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2017, "Forecasting GDP all over the World: Evidence from Comprehensive Survey Data," MPRA Paper, University Library of Munich, Germany, number 81772, Oct.
- Jianqing Fan & Yuan Ke & Yuan Liao, 2016, "Augmented Factor Models with Applications to Validating Market Risk Factors and Forecasting Bond Risk Premia," Papers, arXiv.org, number 1603.07041, Mar, revised Sep 2018.
- Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017, "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking, Verein für Socialpolitik / German Economic Association, number 168206.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2017, "Forecasting with Dynamic Panel Data Models," Papers, arXiv.org, number 1709.10193, Sep.
- Item repec:dnb:dnbwpp:571 is not listed on IDEAS anymore