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Report NEP-FOR-2018-02-19
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.
Other reports in NEP-FOR
The following items were announced in this report:
- Rick Steinert & Florian Ziel, 2018. "Short- to Mid-term Day-Ahead Electricity Price Forecasting Using Futures," Papers 1801.10583, arXiv.org.
- Bastien Alonzo & Philippe Drobinski & Riwal Plougonven & Peter Tankov, 2017. "Probabilistic forecasting of the wind energy resource at the monthly to seasonal scale," Working Papers 2017-88, Center for Research in Economics and Statistics.
- Lustenberger, Thomas & Rossi, Enzo, 2018. "Does Central Bank Transparency and Communication Affect Financial and Macroeconomic Forecasts?," Working papers 2018/06, Faculty of Business and Economics - University of Basel.
- Frédérique Bec & Raouf Boucekkine & Caroline Jardet, 2017. "Why are inflation forecasts sticky?," Working Papers 2017-17, Center for Research in Economics and Statistics.
- Koop, G & Korobilis, D, 2018. "Forecasting with High-Dimensional Panel VARs," Essex Finance Centre Working Papers 21329, University of Essex, Essex Business School.
- Maheu, John M & Song, Yong & Yang, Qiao, 2018. "Oil Price Shocks and Economic Growth: The Volatility Link," MPRA Paper 83999, University Library of Munich, Germany.
- Håvard Hungnes, 2018. "Encompassing tests for evaluating multi-step system forecasts invariant to linear transformations," Discussion Papers 871, Statistics Norway, Research Department.
- Berg-Andersson, Birgitta & Kaitila, Ville & Kaseva, Hannu & Kotilainen, Markku & Lehmus, Markku, 2018. "Etla’s Forecast Errors in 2014–2017," ETLA Brief 63, The Research Institute of the Finnish Economy.
- Maheu, John M & Yang, Qiao & Song, Yong, 2018. "Oil Price Shocks and Economic Growth: The Volatility Link," MPRA Paper 83779, University Library of Munich, Germany.
- Gerlach, Richard & Naimoli, Antonio & Storti, Giuseppe, 2018. "Time Varying Heteroskedastic Realized GARCH models for tracking measurement error bias in volatility forecasting," MPRA Paper 83893, University Library of Munich, Germany.