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Forecast Evaluation Under Asymmetric Loss: A Monte Carlo Analysis of the EKT Method

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  • Krüger, Jens
  • LeCrone, Julian
Abstract
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  • Krüger, Jens & LeCrone, Julian, 2019. "Forecast Evaluation Under Asymmetric Loss: A Monte Carlo Analysis of the EKT Method," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118710, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:118710
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/118710/
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    Cited by:

    1. Conrad, Christian & Lahiri, Kajal, 2023. "Heterogeneous expectations among professional forecasters," ZEW Discussion Papers 23-062, ZEW - Leibniz Centre for European Economic Research.
    2. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    3. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    4. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.
    5. Conrad, Christian & Lahiri, Kajal, 2024. "Heterogeneous Expectations among Professional Forecasters," Working Papers 0754, University of Heidelberg, Department of Economics.

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