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Prediction-market innovations can improve climate-risk forecasts

Author

Listed:
  • Mark Roulston

    (University of Exeter Business School)

  • Todd Kaplan

    (University of Exeter Business School
    University of Haifa)

  • Brett Day

    (University of Exeter Business School)

  • Kim Kaivanto

    (Lancaster University Management School)

Abstract

Forward-looking information about climate risks is critical for decision makers, but the provision and accuracy of such information is limited. Innovative prediction-market designs could provide a mechanism to enhance applied climate research in an incentive-compatible way.

Suggested Citation

  • Mark Roulston & Todd Kaplan & Brett Day & Kim Kaivanto, 2022. "Prediction-market innovations can improve climate-risk forecasts," Nature Climate Change, Nature, vol. 12(10), pages 879-880, October.
    • Handle: RePEc:nat:natcli:v:12:y:2022:i:10:d:10.1038_s41558-022-01467-6
    DOI: 10.1038/s41558-022-01467-6
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