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Report NEP-FOR-2017-08-27
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:
- Jesus Lago & Fjo De Ridder & Peter Vrancx & Bart De Schutter, 2017, "Forecasting day-ahead electricity prices in Europe: the importance of considering market integration," Papers, arXiv.org, number 1708.07061, Aug, revised Dec 2017.
- Hajer Ben Romdhane & Nahed Ben Tanfous, 2017, "Conditional FAVAR and scenario analysis for a large data: case of Tunisia," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 15-2017, Jul.
- Evangelia Kasimati & Nikolaos Veraros, 2017, "Is there accuracy of forward freight agreements in forecasting future freight rates? An empirical investigation," Working Papers, Bank of Greece, number 230, Jun.
- Haskamp, Ulrich, 2017, "Improving the forecasts of European regional banks' profitability with machine learning algorithms," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 705, DOI: 10.4419/86788819.
- Haskamp, Ulrich, 2017, "Forecasting exchange rates: The time-varying relationship between exchange rates and Taylor rule fundamentals," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 704, DOI: 10.4419/86788818.
- Grzegorz Marcjasz & Bartosz Uniejewski & Rafal Weron, 2017, "Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/17/03, Jul.