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Combining forecasts: A philosophical basis and some current issues

Citations

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Cited by:

  1. Stephen Lee & Peter Byrne, 1999. "Some implications of the lack of a consensus view of UK property's future risk and return," Journal of Property Research, Taylor & Francis Journals, vol. 16(3), pages 257-270, January.
  2. Xuejun Chen & Jing Zhao & Wenchao Hu & Yufeng Yang, 2014. "Short‐Term Wind Speed Forecasting Using Decomposition‐Based Neural Networks Combining Abnormal Detection Method," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  3. Bacci, Livio Agnew & Mello, Luiz Gustavo & Incerti, Taynara & Paulo de Paiva, Anderson & Balestrassi, Pedro Paulo, 2019. "Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated factor scores," International Journal of Production Economics, Elsevier, vol. 212(C), pages 186-211.
  4. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
  5. Aastha M. Sathe & Neelesh S. Upadhye & Agnieszka Wyłomańska, 2024. "Forecasting multidimensional autoregressive time series model with symmetric $$\alpha$$ α -stable noise using artificial neural networks," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(3), pages 783-805, July.
  6. Kornbluth, J. S. H., 1997. "Identifying feasible orderings for performance appraisal," Omega, Elsevier, vol. 25(3), pages 329-334, June.
  7. Kolb, R. A. & Stekler, H. O., 1996. "Is there a consensus among financial forecasters?," International Journal of Forecasting, Elsevier, vol. 12(4), pages 455-464, December.
  8. Keunkwan Ryu & Kuo-yuan Liang, 1992. "Relationship of Forecast Encompassing to Composite Forecasts with Simulations and an Application," UCLA Economics Working Papers 668, UCLA Department of Economics.
  9. Massimo Guidolin & Carrie Fangzhou Na, 2007. "The economic and statistical value of forecast combinations under regime switching: an application to predictable U.S. returns," Working Papers 2006-059, Federal Reserve Bank of St. Louis.
  10. Elvira Haezendonck & Julien van den Broeck & Tim Jans, 2011. "Analysing the lobby-effect of port competitiveness’ determinants: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 36(2), pages 113-123, October.
  11. Karine Bouthevillain & Alexandre Mathis, 1995. "Prévisions : mesures, erreurs et principaux résultats," Économie et Statistique, Programme National Persée, vol. 285(1), pages 89-100.
  12. Marchetti, D.J. & Parigi, G., 1998. "Energy Consumption, Survey Data and the Prediction of Industrial Production in Italy," Papers 342, Banca Italia - Servizio di Studi.
  13. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Zhu, You & Uddin, Gazi Salah, 2023. "Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning," Research in International Business and Finance, Elsevier, vol. 64(C).
  14. Armstrong, J. Scott & Morwitz, Vicki G. & Kumar, V., 2000. "Sales forecasts for existing consumer products and services: Do purchase intentions contribute to accuracy?," International Journal of Forecasting, Elsevier, vol. 16(3), pages 383-397.
  15. Guo, Zhenhai & Zhao, Jing & Zhang, Wenyu & Wang, Jianzhou, 2011. "A corrected hybrid approach for wind speed prediction in Hexi Corridor of China," Energy, Elsevier, vol. 36(3), pages 1668-1679.
  16. Mayr, Johannes, 2010. "Forecasting Macroeconomic Aggregates," Munich Dissertations in Economics 11140, University of Munich, Department of Economics.
  17. Ali E. Abbas, 2009. "A Kullback-Leibler View of Linear and Log-Linear Pools," Decision Analysis, INFORMS, vol. 6(1), pages 25-37, March.
  18. Steffen Henzel & Johannes Mayr, 2009. "The Virtues of VAR Forecast Pooling – A DSGE Model Based Monte Carlo Study," ifo Working Paper Series 65, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  19. Kamstra, Mark & Kennedy, Peter, 1998. "Combining qualitative forecasts using logit," International Journal of Forecasting, Elsevier, vol. 14(1), pages 83-93, March.
  20. Ahmad Jafarzadeh & Mohsen Pourreza-Bilondi & Abbas Khashei Siuki & Javad Ramezani Moghadam, 2021. "Examination of Various Feature Selection Approaches for Daily Precipitation Downscaling in Different Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 407-427, January.
  21. Budescu, David V. & Rantilla, Adrian K. & Yu, Hsiu-Ting & Karelitz, Tzur M., 2003. "The effects of asymmetry among advisors on the aggregation of their opinions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 90(1), pages 178-194, January.
  22. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
  23. Karine Bouthevillain, 1993. "La prévision macro-économique : précision relative et consensus," Économie et Prévision, Programme National Persée, vol. 108(2), pages 97-126.
  24. Tavana, M. & Kennedy, D. T. & Joglekar, P., 1996. "A group decision support framework for consensus ranking of technical manager candidates," Omega, Elsevier, vol. 24(5), pages 523-538, October.
  25. Annaert, Jan & van den Broeck, Julien & Vander Vennet, Rudi, 2003. "Determinants of mutual fund underperformance: A Bayesian stochastic frontier approach," European Journal of Operational Research, Elsevier, vol. 151(3), pages 617-632, December.
  26. Wang, Minggang & Tian, Lixin & Zhou, Peng, 2018. "A novel approach for oil price forecasting based on data fluctuation network," Energy Economics, Elsevier, vol. 71(C), pages 201-212.
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