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Non-standard errors in carbon premia

Author

Listed:
  • Beyer, Victor
  • Bauckloh, Michael Tobias

Abstract

This research investigates the influence of methodological choices in portfolio sorts on the size of the carbon premium. By analyzing more than 100,000 methodological paths, we find that variations in the construction of brown-minus-green portfolios create substantial non-standard errors. From 2009 to 2022, the mean carbon premium is -0.16% per month, with a non-standard error of 0.26%. Additionally, there is significant time-series variation in non-standard errors, which correlates with climate media attention. Controlling for unexpected changes in climate concerns substantially reduces methodology-induced uncertainty and helps explain the absence of a consistently positive carbon premium.

Suggested Citation

  • Beyer, Victor & Bauckloh, Michael Tobias, 2024. "Non-standard errors in carbon premia," CFR Working Papers 24-06, University of Cologne, Centre for Financial Research (CFR).
  • Handle: RePEc:zbw:cfrwps:300683
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    More about this item

    Keywords

    non-standard errors; portfolio sorts; carbon premium; methodological uncertainty;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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