Report NEP-FOR-2018-01-22

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:

• Thomas R. Cook & Aaron Smalter Hall, 2017. "Macroeconomic Indicator Forecasting with Deep Neural Networks," Research Working Paper RWP 17-11, Federal Reserve Bank of Kansas City.
• Charles Engel & Dohyeon Lee & Chang Liu & Chenxin Liu & Steve Pak Yeung Wu, 2017. "The Uncovered Interest Parity Puzzle, Exchange Rate Forecasting, and Taylor Rules," NBER Working Papers 24059, National Bureau of Economic Research, Inc.
• Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2018. "Comparing the Forecasting Performances of Linear Models for Electricity Prices with High RES Penetration," Papers 1801.01093, arXiv.org, revised Nov 2019.
• Piyabha Kongsamut & Christian Mumssen & Anne-Charlotte Paret & Thierry Tressel, 2017. "Incorporating Macro-Financial Linkages into Forecasts Using Financial Conditions Indices: The Case of France," IMF Working Papers 17/269, International Monetary Fund.
• Monica Jain & Christopher S. Sutherland, 2018. "How Do Central Bank Projections and Forward Guidance Influence Private-Sector Forecasts?," Staff Working Papers 18-2, Bank of Canada.
• Julien Prat & Walter Benjamin, 2017. "An Equilibrium Model of the Market for Bitcoin Mining," Working Papers 2017-15, Center for Research in Economics and Statistics.