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Report NEP-FOR-2025-06-09
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:
- Paponpat Taveeapiradeecharoen & Popkarn Arwatchanakarn, 2025, "Forecasting Thai inflation from univariate Bayesian regression perspective," Papers, arXiv.org, number 2505.05334, May, revised May 2025.
- Heinisch, Katja & Scaramella, Fabio & Schult, Christoph, 2025, "Assumption errors and forecast accuracy: A partial linear instrumental variable and double machine learning approach," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 6/2025, DOI: 10.18717/dprpy3-ff77.
- Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2024, "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Post-Print, HAL, number hal-05056934, Sep, DOI: 10.1016/j.ijforecast.2024.08.005.
- Sona Benecka, 2025, "Forecasting Disaggregated Producer Prices: A Fusion of Machine Learning and Econometric Techniques," Working Papers, Czech National Bank, Research and Statistics Department, number 2025/2, Mar.
- Juan Jos√© Rinc√≥n Brice√±o, 2025, "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 21388, Jun.
- Elliot Beck & Michael Wolf, 2025, "Forecasting inflation with the hedged random forest," Working Papers, Swiss National Bank, number 2025-07.
- Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 25-04, May, revised May 2025.
- Kyungsu Kim, 2025, "Unemployment Dynamics Forecasting with Machine Learning Regression Models," Papers, arXiv.org, number 2505.01933, May.
- Lutfu Sua & Haibo Wang & Jun Huang, 2025, "Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models," Papers, arXiv.org, number 2505.03109, May.
- Mohammadhossein Rashidi & Mohammad Modarres, 2025, "Predicting the Price of Gold in the Financial Markets Using Hybrid Models," Papers, arXiv.org, number 2505.01402, May.
- Nurbanu Bursa, 2025, "Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries," Papers, arXiv.org, number 2506.01945, Jun.
- Fourie, Jurgens & Steenkamp, Daan, 2025, "Forecasting economic downturns in South Africa using leading indicators and machine learning," MPRA Paper, University Library of Munich, Germany, number 124709, May.
- Lin, Ziqi (Rachel), 2025, "Tax share analysis and prediction of kernel extreme Learning machine optimized by vector weighted average algorithm," OSF Preprints, Center for Open Science, number ymjw9_v1, May, DOI: 10.31219/osf.io/ymjw9_v1.
- Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," CIRANO Working Papers, CIRANO, number 2025s-15, May.
- Mert Gokcu & Eren Sezer, 2025, "Akaryakit Fiyat Olusumu: Brent Petrol Fiyati Iyi Bir Tahmin Araci Mi?," CBT Research Notes in Economics, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2507.
- Michael Ehrmann, 2024, "Trust in Central Banks," RBA Annual Conference Papers, Reserve Bank of Australia, number acp2024-04, Oct, revised May 2025.
- Nikolaos Giannakis & Periklis Gogas & Theophilos Papadimitriou & Jamel Saadaoui & Emmanouil Sofianos, 2025, "Do International Reserve Holdings Still Predict Economic Crises? Insights from Recent Machine Learning Techniques," Working Papers, International Network for Economic Research - INFER, number 2025.6.
- Rocío Elizondo & Julio A. Carrillo, 2025, "Comparison of Inflation Expectations from Surveys and Markets Across Different Horizons," Working Papers, Banco de México, number 2025-07, May.
- Stefano Fasani & Valeria Patella & Giuseppe Pagano Giorgianni & Lorenza Rossi, 2025, "Belief Distortions and Disagreement about Inflation," Working Papers, Lancaster University Management School, Economics Department, number 423478673.
- Brooke Hathhorn & Michael T. Owyang, 2025, "Making Sense of Recession Probabilities," On the Economy, Federal Reserve Bank of St. Louis, number 100021, May.