Report NEP-FOR-2020-10-12

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.

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Other reports in NEP-FOR

The following items were announced in this report:

• Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers 33/20, Monash University, Department of Econometrics and Business Statistics.
• Amor Aniss Benmoussa & Reinhard Ellwanger & Stephen Snudden, 2020. "The New Benchmark for Forecasts of the Real Price of Crude Oil," Staff Working Papers 20-39, Bank of Canada.
• Ruipeng Liu & Rangan Gupta, 2020. "Investors' Uncertainty and Forecasting Stock Market Volatility," Working Papers 202090, University of Pretoria, Department of Economics.
• Grishina, Irina (Гришина, Ирина) & Polynev, Andrey (Полынев, Андрей) & Shkuropat, Anna (Шкуропат, Анна) & Kotov, Alexander (Котов, Александр), 2020. "Development of a methodology for medium-term forecasting of the socio-economic development of the Russian Federation in the territorial context [Разработка Методологии Среднесрочного Прогнозировани," Working Papers 052015, Russian Presidential Academy of National Economy and Public Administration.
• Berta, Paolo & Lovaglio, Pietro Giorgio & Paruolo, Paolo & Verzillo, Stefano, 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand," JRC Working Papers in Economics and Finance 2020-08, Joint Research Centre, European Commission.
• Rob J Hyndman & Yijun Zeng & Han Lin Shang, 2020. "Forecasting the Old-Age Dependency Ratio to Determine a Sustainable Pension Age," Monash Econometrics and Business Statistics Working Papers 31/20, Monash University, Department of Econometrics and Business Statistics.
• Van, Germinal G., 2020. "Modeling and Forecasting Economic Growth in Sub-Saharan Africa in the Post-Covid Era," MPRA Paper 103153, University Library of Munich, Germany.
• Rotem Zelingher & David Makowski & Thierry Brunelle, 2020. "Forecasting impacts of Agricultural Production on Global Maize Price [Prévision des impacts de la production agricole sur les prix mondiaux du maïs]," Working Papers hal-02945775, HAL.
• Bellotti, Anthony & Brigo, Damiano & Gambetti, Paolo & Vrins, Frédéric, 2020. "Forecasting recovery rates on non-performing loans with machine learning," LIDAM Discussion Papers LFIN 2020002, Université catholique de Louvain, Louvain Finance (LFIN).
• Bahman Rostami-Tabar & Mohammad M Ali & Tao Hong & Rob J Hyndman & Michael D Porter & Aris Syntetos, 2020. "Forecasting for Social Good," Monash Econometrics and Business Statistics Working Papers 37/20, Monash University, Department of Econometrics and Business Statistics.
• Mouyad Alsamara & Zouhair Mrabet & Ahmad Shikh Ebid, 2020. "Scenario-Based Forecast for Post-Conflict’s Growth in Syria," Working Papers 1385, Economic Research Forum, revised 20 Apr 2020.
• Elena Carletti & Tommaso Oliviero & Marco Pagano & Loriana Pelizzon, 2020. "The COVID-19 Shock and Equity Shortfall: Firm-level Evidence from Italy," Working Papers 450, University of Milano-Bicocca, Department of Economics, revised Oct 2020.