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Report NEP-FOR-2020-06-22
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:
- Daiki Maki & Yasushi Ota, 2020, "The impacts of asymmetry on modeling and forecasting realized volatility in Japanese stock markets," Papers, arXiv.org, number 2006.00158, May.
- Zidong An & João Tovar Jalles, 2020, "On the Performance of US Fiscal Forecasts: Government vs. Private Information," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2020/0130, May.
- Sander Barendse & Andrew J. Patton, 2020, "Comparing Predictive Accuracy in the Presence of a Loss Function Shape Parameter," Economics Series Working Papers, University of Oxford, Department of Economics, number 909, May.
- Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2020, "The Role of Investor Sentiment in Forecasting Housing Returns in China: A Machine Learning Approach," Working Papers, University of Pretoria, Department of Economics, number 202055, Jun.
- Afees A. Salisu & Rangan Gupta & Riza Demirer, 2020, "A Note on Uncertainty due to Infectious Diseases and Output Growth of the United States: A Mixed-Frequency Forecasting Experiment," Working Papers, University of Pretoria, Department of Economics, number 202050, May.
- Tian Xie & Jun Yu & Tao Zeng, 2020, "Econometric Methods and Data Science Techniques: A Review of Two Strands of Literature and an Introduction to Hybrid Methods," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 16-2020, May.
- Mahmut Gunay, 2020, "Nowcasting Turkish GDP Growth with Targeted Predictors: Fill in the Blanks," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2006.
- Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020, "Forecasting Oil Volatility Using a GARCH-MIDAS Approach: The Role of Global Economic Conditions," Working Papers, University of Pretoria, Department of Economics, number 202051, May.
- Shen Gao & Chenghan Hou & Bao H. Nguyen, 2020, "Forecasting natural gas prices using highly flexible time-varying parameter models," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2020-30, Mar.
- Lars Elend & Sebastian A. Tideman & Kerstin Lopatta & Oliver Kramer, 2020, "Earnings Prediction with Deep Learning," Papers, arXiv.org, number 2006.03132, Jun, revised Oct 2020.