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Report NEP-FOR-2022-05-16
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:
- M. Hashem Pesaran & Andreas Pick & Allan Timmermann, 2022, "Forecasting With Panel Data: Estimation Uncertainty Versus Parameter Heterogeneity," CESifo Working Paper Series, CESifo, number 9690.
- Li Li & Yanfei Kang & Fotios Petropoulos & Feng Li, 2022, "Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications," Papers, arXiv.org, number 2204.08283, Apr, revised Aug 2022.
- Souhir Ben Amor & Heni Boubaker & Lotfi Belkacem, 2022, "A Dual Generalized Long Memory Modelling for Forecasting Electricity Spot Price: Neural Network and Wavelet Estimate," Papers, arXiv.org, number 2204.08289, Apr.
- Christina Anderl & Guglielmo Maria Caporale, 2022, "Forecasting Inflation with a Zero Lower Bound or Negative Interest Rates: Evidence from Point and Density Forecasts," CESifo Working Paper Series, CESifo, number 9687.
- Antonio Musa, 2022, "Nowcasting Bosnia and Herzegovina GDP in Real Time," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 08-2022, Apr.
- Duan, Fang, 2022, "Forecasting risk measures based on structural breaks in the correlation matrix," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 945, DOI: 10.4419/96973106.
- Sabyasachi Kar & Amaani Bashir & Mayank Jain, 2021, "New Approaches to Forecasting Growth and Inflation: Big Data and Machine Learning," IEG Working Papers, Institute of Economic Growth, number 446, Oct.
- François Facchini, 2022, "Party’s rating and electoral forecasting: the case of French Presidential in 2022," Post-Print, HAL, number hal-03624729, Mar, DOI: 10.1017/S1049096522000440.