Report NEP-FOR-2019-05-27

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.

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Other reports in NEP-FOR

The following items were announced in this report:

• Christopher Kath & Florian Ziel, 2019. "Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets," Papers 1905.07886, arXiv.org, revised Sep 2020.
• Gogas, Periklis & Papadimitriou, Theophilos & Plakandaras, Vasilios & Gupta, Rangan, 2019. "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," DUTH Research Papers in Economics 3-2016, Democritus University of Thrace, Department of Economics.
• Reaz Chowdhury & M. Arifur Rahman & M. Sohel Rahman & M. R. C. Mahdy, 2019. "Predicting and Forecasting the Price of Constituents and Index of Cryptocurrency Using Machine Learning," Papers 1905.08444, arXiv.org.