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Report NEP-FOR-2017-02-19
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, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Michael P Clements & Ana Beatriz Galvao, 2017, "Data Revisions and Real-time Probabilistic Forecasting of Macroeconomic Variables," ICMA Centre Discussion Papers in Finance, Henley Business School, University of Reading, number icma-dp2017-01, Jan.
- Heinisch, Katja & Scheufele, Rolf, 2017, "Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 5/2017.
- Knapik, Oskar & Exterkate, Peter, 2017, "A regime-switching stochastic volatility model for forecasting electricity prices," Working Papers, University of Sydney, School of Economics, number 2017-02, Feb.
- Bartosz Uniejewski & Rafal Weron & Florian Ziel, 2017, "Variance stabilizing transformations for electricity spot price forecasting," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/17/01, Feb.
- Fatemeh Mokhtarzadeh & Luba Petersen, 2017, "Coordinating expectations through central bank projections," Discussion Papers, Department of Economics, Simon Fraser University, number dp17-03, Feb.