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Report NEP-FOR-2022-02-14
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:
- Sylvia Kaufmann, 2022, "Covid-19 outbreak and beyond: A retrospect on the information content of registered short-time workers for GDP now- and forecasting," Working Papers, Swiss National Bank, Study Center Gerzensee, number 22.02, Feb.
- Massimo Guidolin & Davide La Cara & Massimiliano Marcellino, 2021, "Boosting the Forecasting Power of Conditional Heteroskedasticity Models to Account for Covid-19 Outbreaks," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 21169.
- Iuri H. Ferreira & Marcelo C. Medeiros, 2021, "Modeling and Forecasting Intraday Market Returns: a Machine Learning Approach," Papers, arXiv.org, number 2112.15108, Dec.
- Fabio Ashtar Telarico, 2021, "Forecasting pandemic tax revenues in a small, open economy," Papers, arXiv.org, number 2112.15431, Dec.
- Nurdaulet Abilov & Aizhan Bolatbayeva, 2021, "Nowcasting GDP growth in Russia with an incomplete dataset: A factor model approach," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 18, Dec, revised Feb 2022.