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.

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Other reports in NEP-FOR

The following items were announced in this report:

• Cheng Zhang, 2024. "Forecasting Symmetric Random Walks: A Fusion Approach," Papers 2406.14469, arXiv.org, revised Jan 2025.
• Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025. "Forecasting Dutch inflation using machine learning methods," Working Papers 828, DNB.
• Адилханова Зарина // Adilkhanova Zarina & Ержан Ислам // Yerzhan Islam, 2024. "Система селективно - комбинированного прогноза инфляции (SSCIF)// Selective-Combined Inflation Forecasting System," Working Papers #2024-13, National Bank of Kazakhstan.
• Konstantinos-Leonidas Bisdoulis, 2024. "Assets Forecasting with Feature Engineering and Transformation Methods for LightGBM," Papers 2501.07580, arXiv.org.
• Laura Coroneo, 2025. "Forecasting for monetary policy," Papers 2501.07386, arXiv.org.
• Andrea Bastianin & Xiao Li & Luqman Shamsudin, 2025. "Forecasting the Volatility of Energy Transition Metals," Working Papers 2025.04, Fondazione Eni Enrico Mattei.