Report NEP-FOR-2020-08-17
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:
- Vica Tendenan & Richard Gerlach & Chao Wang, 2020, "Tail risk forecasting using Bayesian realized EGARCH models," Papers, arXiv.org, number 2008.05147, Aug, revised Aug 2020.
- Piotr Dybka, 2020, "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers, Warsaw School of Economics, Collegium of Economic Analysis, number 2020-053, Jul, DOI: 10.33119/kaewps2020053.
- Jonathan Benchimol & Makram El-Shagi, 2020, "Forecast Performance in Times of Terrorism," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 390, Jun, DOI: 10.24149/gwp390.
- Quast, Josefine & Wolters, Maik H., 2020, "Reliable real-time output gap estimates based on a modified Hamilton filter," Kiel Working Papers, Kiel Institute for the World Economy, number 2158.
- Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020, "Predicting bond return predictability," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-09, Aug.
- Radchenko, Peter & Vasnev, Andrey & Wang, Wendun, 2020, "Too similar to combine? On negative weights in forecast combination," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number BAWP-2020-02, Jul.
- Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2020, "Higher Moment Constraints for Predictive Density Combinations," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number BAWP-2020-01, May.
- Moahmed Hassan, Hisham & Haleeb, Amin, 2020, "Modelling GDP for Sudan using ARIMA," MPRA Paper, University Library of Munich, Germany, number 101207.
- Fabio Busetti & Michele Caivano & Davide Delle Monache & Claudia Pacella, 2020, "The time-varying risk of Italian GDP," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1288, Jul.
- Hannes Mueller & Christopher Rauh, 2019, "The hard problem of prediction for conflict prevention," Cahiers de recherche, Universite de Montreal, Departement de sciences economiques, number 2019-02, Apr.
- Sucarrat, Genaro, 2020, "Identification of Volatility Proxies as Expectations of Squared Financial Return," MPRA Paper, University Library of Munich, Germany, number 101953, Jul.
- Svatopluk Kapounek & Zuzana Kucerova & Evzen Kocenda, 2020, "Selective Attention in Exchange Rate Forecasting," KIER Working Papers, Kyoto University, Institute of Economic Research, number 1035, Jul.
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