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Report NEP-FOR-2023-10-23
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:
- Axelsson, Birger & Song, Han-Suck, 2023, "Univariate Forecasting for REITs with Deep Learning: A Comparative Analysis with an ARIMA Model," Working Paper Series, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance, number 23/10, Sep, revised 14 Nov 2023.
- Albert Wong & Steven Whang & Emilio Sagre & Niha Sachin & Gustavo Dutra & Yew-Wei Lim & Gaetan Hains & Youry Khmelevsky & Frank Zhang, 2023, "Short-Term Stock Price Forecasting using exogenous variables and Machine Learning Algorithms," Papers, arXiv.org, number 2309.00618, May.
- Paul Bilokon & Yitao Qiu, 2023, "Transformers versus LSTMs for electronic trading," Papers, arXiv.org, number 2309.11400, Sep.