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Prediction-market innovations can improve climate-risk forecasts

Nature Climate Change volume 12, pages 879–880 (2022)Cite this article

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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.

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Author information

Authors and Affiliations

  1. Land, Environment, Economics and Policy Institute, University of Exeter Business School, Exeter, UK

    Mark Roulston & Brett Day

  2. University of Exeter Business School, Exeter, UK

    Todd Kaplan

  3. University of Haifa, Haifa, Israel

    Todd Kaplan

  4. Lancaster University Management School, Lancaster, UK

    Kim Kaivanto

Authors
  1. Mark Roulston
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  2. Todd Kaplan
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  3. Brett Day
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  4. Kim Kaivanto
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Contributions

All authors contributed to the writing and editing of the manuscript, as well as responding to referees.

Corresponding author

Correspondence to Mark Roulston.

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Competing interests

The authors declare no competing interests.

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Nature Climate Change thanks Michael Vandenbergh and Ross McKitrick for their contribution to the peer review of this work.

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Roulston, M., Kaplan, T., Day, B. et al. Prediction-market innovations can improve climate-risk forecasts. Nat. Clim. Chang. 12, 879–880 (2022). https://doi.org/10.1038/s41558-022-01467-6

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