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Sustainable investing with ESG ambiguous information

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  • Jin, Yurong
  • Yan, Jingzhou

Abstract

This study introduces a novel model that incorporates ambiguous ESG information into the asset pricing framework, examining its impact on the optimal demand, equilibrium expected excess return, and welfare of an investor. Our analysis reveals that an investor’s response to insights into ESG performance significantly depends on the nature of the information received. When confronted with negative ESG information and lower excess return, the investor opts for high-precision information, resulting in a lower optimal asset demand with a steeper growth slope in demand. Conversely, with higher excess return, the investor chooses low-precision information, leading to a higher optimal asset demand with a gentler slope of demand growth. Furthermore, we identify a unique “ESG excess return region” where the investor’s optimal demand remains unchanged despite ambiguous ESG information. Moreover, the study finds that asset yield a higher equilibrium expected excess return with high-precision ESG signals than with low-precision signals when the ESG information is negative. Lastly, the research explores investor welfare, indicating that the welfare under positive information is significantly higher than under negative information. This study sheds light on the subtle strategies that an investor employs when facing uncertainties related to ESG information.

Suggested Citation

  • Jin, Yurong & Yan, Jingzhou, 2024. "Sustainable investing with ESG ambiguous information," Economics Letters, Elsevier, vol. 241(C).
  • Handle: RePEc:eee:ecolet:v:241:y:2024:i:c:s0165176524002805
    DOI: 10.1016/j.econlet.2024.111796
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    References listed on IDEAS

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    1. Back, Kerry, 2010. "Asset Pricing and Portfolio Choice Theory," OUP Catalogue, Oxford University Press, number 9780195380613.
    2. Larry G. Epstein & Martin Schneider, 2008. "Ambiguity, Information Quality, and Asset Pricing," Journal of Finance, American Finance Association, vol. 63(1), pages 197-228, February.
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    4. H. Henry Cao & Tan Wang & Harold H. Zhang, 2005. "Model Uncertainty, Limited Market Participation, and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1219-1251.
    5. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    6. Philipp Karl Illeditsch, 2011. "Ambiguous Information, Portfolio Inertia, and Excess Volatility," Journal of Finance, American Finance Association, vol. 66(6), pages 2213-2247, December.
    7. Florian Berg & Julian F. Koelbel & Anna Pavlova & Roberto Rigobon, 2022. "ESG Confusion and Stock Returns: Tackling the Problem of Noise," NBER Working Papers 30562, National Bureau of Economic Research, Inc.
    8. Avramov, Doron & Cheng, Si & Lioui, Abraham & Tarelli, Andrea, 2022. "Sustainable investing with ESG rating uncertainty," Journal of Financial Economics, Elsevier, vol. 145(2), pages 642-664.
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    More about this item

    Keywords

    Investment inertia; ESG ambiguous information; Sustainable investment;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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