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Report NEP-FOR-2023-12-11
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:
- George Athanasopoulos & Rob J Hyndman & Raffaele Mattera, 2023, "Improving out-of-sample Forecasts of Stock Price Indexes with Forecast Reconciliation and Clustering," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 17/23.
- Chen, Ying & Grith, Maria & Lai, Hannah L. H., 2023, "Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach," MPRA Paper, University Library of Munich, Germany, number 119022, Oct.
- Reza Yarbakhsh & Mahdieh Soleymani Baghshah & Hamidreza Karimaghaie, 2023, "Predicting risk/reward ratio in financial markets for asset management using machine learning," Papers, arXiv.org, number 2311.09148, Nov.