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Report NEP-FOR-2022-08-22
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2022, "Superior Predictability of American Factors of the Won/Dollar Real Exchange Rate," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2022-03, Jul.
- Giuseppe Storti & Chao Wang, 2022, "A semi-parametric dynamic conditional correlation framework for risk forecasting," Papers, arXiv.org, number 2207.04595, Jul, revised Dec 2024.
- Bartosz Uniejewski & Katarzyna Maciejowska, 2022, "LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling," Papers, arXiv.org, number 2207.04794, Jul.
- Nava, Consuelo R. & Osti, Linda & Zoia, Maria Grazia, 2022, "Forecasting Domestic Tourism across Regional Destinations through MIDAS Regressions," Department of Economics and Statistics Cognetti de Martiis. Working Papers, University of Turin, number 202207, Jul.
- Bryan T. Kelly & Semyon Malamud & Kangying Zhou, 2022, "The Virtue of Complexity Everywhere," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-57, Jul.
- Gupta, Abhimanyu & Hidalgo, Javier, 2022, "Nonparametric prediction with spatial data," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 115292, May.