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Report NEP-FOR-2019-10-14
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:
- Degiannakis, Stavros & Filis, George & Klein, Tony & Walther, Thomas, 2019, "Forecasting Realized Volatility of Agricultural Commodities," MPRA Paper, University Library of Munich, Germany, number 96267.
- Degiannakis, Stavros, 2018, "Multiple Days Ahead Realized Volatility Forecasting: Single, Combined and Average Forecasts," MPRA Paper, University Library of Munich, Germany, number 96272.
- J. James Reade & Carl Singleton & Alasdair Brown, 2019, "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers, Department of Economics, University of Reading, number em-dp2019-18, Jun, revised 01 Aug 2020.
- Thomas Cook, 2019, "Macroeconomic Indicator Forecasting with Deep Neural Networks," 2019 Meeting Papers, Society for Economic Dynamics, number 402.
- Degiannakis, Stavros & Filis, George, 2019, "Forecasting European Economic Policy Uncertainty," MPRA Paper, University Library of Munich, Germany, number 96268.
- Kashif Yousuf & Serena Ng, 2019, "Boosting High Dimensional Predictive Regressions with Time Varying Parameters," Papers, arXiv.org, number 1910.03109, Oct.
- Kley, Tobias & Preuss, Philip & Fryzlewicz, Piotr, 2019, "Predictive, finite-sample model choice for time series under stationarity and non-stationarity," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 101748, Oct.
- Maeng, Hye Young & Fryzlewicz, Piotr, 2019, "Regularised forecasting via smooth-rough partitioning of the regression coefficients," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 100878, Jun.
- Feras Batarseh & Munisamy Gopinath & Ganesh Nalluru & Jayson Beckman, 2019, "Application of Machine Learning in Forecasting International Trade Trends," Papers, arXiv.org, number 1910.03112, Oct.
- Eduardo Lora, 2019, "Forecasting Formal Employment in Cities," CID Working Papers, Center for International Development at Harvard University, number 114a, Jul.
- Item repec:rza:wpaper:800 is not listed on IDEAS anymore