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Report NEP-FOR-2022-07-25
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:
- Mr. Sakai Ando & Mr. Taehoon Kim, 2022, "Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities," IMF Working Papers, International Monetary Fund, number 2022/110, Jun.
- Rueben Ellul & Germano Ruisi, 2022, "Nowcasting the Maltese economy with a dynamic factor model," CBM Working Papers, Central Bank of Malta, number WP/02/2022.
- Item repec:iim:iimawp:14678 is not listed on IDEAS anymore
- Alexandros E. Milionis & Nikolaos G. Galanopoulos & Peter Hatzopoulos & Aliki Sagianou, 2022, "Forecasting actuarial time series: a practical study of the effect of statistical pre-adjustments," Working Papers, Bank of Greece, number 297, May, DOI: 10.52903/wp2022297.
- Robert Ambrisko, 2022, "Nowcasting Macroeconomic Variables Using High-Frequency Fiscal Data," Working Papers, Czech National Bank, Research and Statistics Department, number 2022/5, Jun.
- Yanzhao Zou & Dorien Herremans, 2022, "PreBit -- A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin," Papers, arXiv.org, number 2206.00648, May, revised Oct 2023.
- Sara B. Heller & Benjamin Jakubowski & Zubin Jelveh & Max Kapustin, 2022, "Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It," NBER Working Papers, National Bureau of Economic Research, Inc, number 30170, Jun.
- Michael Kitchener & Nandini Anantharama & Simon D. Angus & Paul A. Raschky, 2022, "Predicting Political Ideology from Digital Footprints," Papers, arXiv.org, number 2206.00397, Jun.