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Report NEP-FOR-2025-02-10
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:
- Cheng Zhang, 2024, "Movement Prediction-Adjusted Naive Forecast: Is the Naive Baseline Unbeatable in Financial Time Series Forecasting?," Papers, arXiv.org, number 2406.14469, Jun, revised Oct 2025.
- Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025, "Forecasting Dutch inflation using machine learning methods," Working Papers, DNB, number 828, Feb.
- Адилханова Зарина // Adilkhanova Zarina & Ержан Ислам // Yerzhan Islam, 2024, "Система селективно - комбинированного прогноза инфляции (SSCIF)// Selective-Combined Inflation Forecasting System," Working Papers, National Bank of Kazakhstan, number #2024-13.
- Konstantinos-Leonidas Bisdoulis, 2024, "Assets Forecasting with Feature Engineering and Transformation Methods for LightGBM," Papers, arXiv.org, number 2501.07580, Dec.
- Laura Coroneo, 2025, "Forecasting for monetary policy," Papers, arXiv.org, number 2501.07386, Jan, revised Jan 2026.
- Andrea Bastianin & Xiao Li & Luqman Shamsudin, 2025, "Forecasting the Volatility of Energy Transition Metals," Working Papers, Fondazione Eni Enrico Mattei, number 2025.04, Jan.