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Report NEP-FOR-2021-03-22
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:
- Luigi Longo & Massimo Riccaboni & Armando Rungi, 2021, "A Neural Network Ensemble Approach for GDP Forecasting," Working Papers, IMT School for Advanced Studies Lucca, number 02/2021, Mar, revised Mar 2021.
- Ly, Racine & Traoré, Fousseini & Dia, Khadim, 2021, "Forecasting commodity prices using long-short-term memory neural networks," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 2000.
- Item repec:rim:rimwps:21-05 is not listed on IDEAS anymore
- Matteo Garzoli & Alberto Plazzi & Rossen I. Valkanov, 2021, "Backcasting, Nowcasting, and Forecasting Residential Repeat-Sales Returns: Big Data meets Mixed Frequency," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-21, Mar.
- Gazi Salah Uddin & Ou Tang & Maziar Sahamkhadam & Farhad Taghizadeh-Hesary & Muhammad Yahya & Pontus Cerin & Jakob Rehme, 2021, "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers, Asian Development Bank Institute, number 1212, Jan.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2021, "Nowcasting 'true' monthly US GDP during the pandemic," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2021-14, Jan.
- Parley Ruogu Yang, 2021, "Forecasting high-frequency financial time series: an adaptive learning approach with the order book data," Papers, arXiv.org, number 2103.00264, Feb.
- Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2021, "Forecasting corporate capital accumulation in Italy: the role of survey-based information," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 596, Feb.
- Martin Feldkircher & Florian Huber & Gary Koop & Michael Pfarrhofer, 2021, "Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs," Papers, arXiv.org, number 2103.04944, Mar, revised Feb 2022.