Report NEP-FOR-2024-12-16

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:

• Souhir Ben Amor & Thomas Mobius & Felix Musgens, 2024. "Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting," Papers 2411.04880, arXiv.org.
• Kozyrev, Boris, 2024. "Forecast combination and interpretability using random subspace," IWH Discussion Papers 21/2024, Halle Institute for Economic Research (IWH).
• Abdul Rahman & Neelesh Upadhye, 2024. "Hybrid Vector Auto Regression and Neural Network Model for Order Flow Imbalance Prediction in High Frequency Trading," Papers 2411.08382, arXiv.org.
• Shamima Nasrin Tumpa & Kehelwala Dewage Gayan Maduranga, 2024. "Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization," Papers 2411.05829, arXiv.org.
• Asef Yelghi & Aref Yelghi & Shirmohammad Tavangari, 2024. "Artificial Intelligence in Financial Forecasting: Analyzing the Suitability of AI Models for Dollar/TL Exchange Rate Predictions," Papers 2411.04259, arXiv.org, revised Nov 2024.