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Report NEP-FOR-2026-04-27
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:
- Simon Hirsch & Florian Ziel, 2026, "Probabilistic Forecasting for Day-ahead Electricity Prices, Battery Trading Strategies and the Economic Evaluation of Predictive Accuracy," Papers, arXiv.org, number 2604.19580, Apr.
- Hilde C. Bjørnland & Nicolás Hardy & Dimitris Korobilis, 2026, "Forecasting Oil Prices Across the Distribution: A Quantile VAR Approach," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 03/2026, Apr.
- Hardy, Nicolas & Korobilis, Dimitris, 2026, "Generalized Bayesian Composite Quantile Regression with an Application to Equity Premium Forecasting," MPRA Paper, University Library of Munich, Germany, number 128752, Apr.
- Nicolas Hardy & Dimitris Korobilis, 2026, "Generalized Bayesian Composite Quantile Regression with an Application to Equity Premium Forecasting," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 04/2026, Apr.
- Ramón Talvi Robledo & Christopher Rauh & Ben Seimon & Hannes Mueller & Laura Mayoral, 2026, "Forecasting Forced Displacement Flows Using Machine Learning with Text Data," Working Papers, Barcelona School of Economics, number 1573, Apr.
- Dalibor Stevanovic, 2026, "Who Saw It Coming? Historical Experience and the 2021 Inflation Forecast Failure," CIRANO Working Papers, CIRANO, number 2026s-06, Apr.
- Dalibor Stevanovic, 2026, "Who Saw It Coming? Historical Experienceand the 2021 Inflation Forecast Failure," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 26-02, Apr.
- Haibin Jiao, 2026, "The CTLNet for Shanghai Composite Index Prediction," Papers, arXiv.org, number 2604.16835, Apr.
- Gould, Elliot & Gray, Charles T. & Willcox, Aaron & O'Dea, Rose E & Groenewegen, Rebecca & Wilkinson, David Peter, 2026, "aggreCAT: An R Package for Mathematically Aggregating Expert Judgments," MetaArXiv, Center for Open Science, number 74tfv_v2, Apr, DOI: 10.31219/osf.io/74tfv_v2.
- Yonggeun Jung, 2026, "Watching Trade from Space: Nowcasting and Spatial Extrapolation of Port-Level Maritime Trade Using Satellite Imagery," Papers, arXiv.org, number 2604.15444, Apr.
- Sotirios D. Nikolopoulos, 2026, "Spurious Predictability in Financial Machine Learning," Papers, arXiv.org, number 2604.15531, Apr.
- Philipp Wegmuller & Jan P.A.M. Jacobs & Marc Burri, 2026, "GDP-Flash Estimates: An International Assessment," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-26, Apr.