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Report NEP-FOR-2021-11-29
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:
- Dong Hwan Oh & Andrew J. Patton, 2021, "Better the Devil You Know: Improved Forecasts from Imperfect Models," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2021-071, Nov, DOI: 10.17016/FEDS.2021.071.
- Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021, "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-020.
- Oya Celasun & Jungjin Lee & Mr. Mico Mrkaic & Mr. Allan Timmermann, 2021, "An Evaluation of World Economic Outlook Growth Forecasts, 2004–17," IMF Working Papers, International Monetary Fund, number 2021/216, Aug.
- Graziano Moramarco, 2021, "Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States," Papers, arXiv.org, number 2111.00822, Nov, revised Jan 2024.
- Tae-Hwy Lee & He Wang & Zhou Xi & Ru Zhang, 2021, "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Working Papers, University of California at Riverside, Department of Economics, number 202115, Nov.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021, "Forecasting with a Panel Tobit Model," Papers, arXiv.org, number 2110.14117, Oct, revised Jul 2022.