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Report NEP-FOR-2019-05-06
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:
- A Clements & M Doolan, 2018, "Combining Multivariate Volatility Forecasts using Weighted Losses," NCER Working Paper Series, National Centre for Econometric Research, number 119, Dec.
- A Clements & D Preve, 2019, "A Practical Guide to Harnessing the HAR Volatility Model," NCER Working Paper Series, National Centre for Econometric Research, number 120, Apr.
- Bazhenov, Timofey & Fantazzini, Dean, 2019, "Forecasting Realized Volatility of Russian stocks using Google Trends and Implied Volatility," MPRA Paper, University Library of Munich, Germany, number 93544, Apr.
- Guglielmo Maria Caporale & Daria Teterkina, 2019, "Volatility forecasts for the RTS stock index: option-implied volatility versus alternative methods," CESifo Working Paper Series, CESifo, number 7612.
- Allison Koenecke & Amita Gajewar, 2019, "Curriculum Learning in Deep Neural Networks for Financial Forecasting," Papers, arXiv.org, number 1904.12887, Apr, revised Jul 2019.
- Cem Cakmakli & Hamza Demircan & Sumru Altug, 2019, "Modeling of Economic and Financial Conditions for Nowcasting and Forecasting Recessions: A Unified Approach," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 1907, Apr.