Advanced search
1 file | 1.58 MB

Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support

Author
Organization
Keywords
PROBABILISTIC FORECASTS, JUDGMENTAL ADJUSTMENTS, MANAGEMENT JUDGMENT, STOCK-PRICES, INFORMATION, PERFORMANCE, INTEGRATION, HEURISTICS, ACCURACY, ILLUSION

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.58 MB

Citation

Please use this url to cite or link to this publication:

Chicago
De Baets, Shari, and Nigel Harvey. 2018. “Forecasting from Time Series Subject to Sporadic Perturbations : Effectiveness of Different Types of Forecasting Support.” International Journal of Forecasting 34 (2): 168–180.
APA
De Baets, Shari, & Harvey, N. (2018). Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support. INTERNATIONAL JOURNAL OF FORECASTING , 34(2), 168–180.
Vancouver
1.
De Baets S, Harvey N. Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support. INTERNATIONAL JOURNAL OF FORECASTING . International Institute of Forecasters; 2018;34(2):168–80.
MLA
De Baets, Shari, and Nigel Harvey. “Forecasting from Time Series Subject to Sporadic Perturbations : Effectiveness of Different Types of Forecasting Support.” INTERNATIONAL JOURNAL OF FORECASTING 34.2 (2018): 168–180. Print.
@article{8534134,
  author       = {De Baets, Shari and Harvey, Nigel},
  issn         = {0169-2070 },
  journal      = {INTERNATIONAL JOURNAL OF FORECASTING },
  keywords     = {PROBABILISTIC FORECASTS,JUDGMENTAL ADJUSTMENTS,MANAGEMENT JUDGMENT,STOCK-PRICES,INFORMATION,PERFORMANCE,INTEGRATION,HEURISTICS,ACCURACY,ILLUSION},
  language     = {eng},
  number       = {2},
  pages        = {168--180},
  publisher    = {International Institute of Forecasters},
  title        = {Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support},
  url          = {http://dx.doi.org/10.1016/j.ijforecast.2017.09.007},
  volume       = {34},
  year         = {2018},
}

Altmetric
View in Altmetric
Web of Science
Times cited: