Prediction-market innovations can improve climate-risk forecasts

Mark Roulston (), Todd Kaplan, Brett Day and Kim Kaivanto
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Mark Roulston: University of Exeter Business School
Brett Day: University of Exeter Business School
Kim Kaivanto: Lancaster University Management School

Nature Climate Change, 2022, vol. 12, issue 10, 879-880

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.

Date: 2022
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DOI: 10.1038/s41558-022-01467-6

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