Printed from https://ideas.repec.org/n/nep-for/2024-12-16.html
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, arXiv.org, number 2411.04880, Nov.
- Kozyrev, Boris, 2024, "Forecast combination and interpretability using random subspace," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 21/2024.
- Abdul Rahman & Neelesh Upadhye, 2024, "Hybrid Vector Auto Regression and Neural Network Model for Order Flow Imbalance Prediction in High Frequency Trading," Papers, arXiv.org, number 2411.08382, Nov.
- Shamima Nasrin Tumpa & Kehelwala Dewage Gayan Maduranga, 2024, "Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization," Papers, arXiv.org, number 2411.05829, Nov.
- 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, arXiv.org, number 2411.04259, Nov, revised Nov 2024.