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Mark to Target Information: idiosyncratic forward-looking information and its use to define primary ESG indicators

Author

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  • Andrea Giacomelli

    (Department of Economics, Ca' Foscari University of Venice; KnowShape, Italy)

Abstract

Forward-looking information is taking on an increasingly important role in firms' decision-making processes, in communicating with stakeholders and in improving market information. Its relevance is also increased due to recent structural breaks, namely the Covid-19 pandemic and the Ukrainian war, which make historical data uninformative. In the last period forward-looking information has been the object of different international regulations for firms and financial institutions and its scope has expanded from financial performance to ESG sustainability performance. Despite its relevance, forward-looking information is still a confusing topic, in terms of contents and applications, especially in the context of ESG, where there is a need for greater clarity and standardization of the definitions of the ESG indicators. To address these issues, this paper introduces two contributions. The first one is an analytical definition of idiosyncratic forward-looking information, called Mark to Target Information (MtTI), which is suitable for representing both the financial and the ESG sustainability performance. MtTI refers directly to firms' plans and their risk indicators, thus differing from forecasts and systematic forward-looking information (based only on macroeconomic or sector scenarios). The second contribution is the introduction of formal criteria for identifying, within the general definition of MtTI, a list of primary ESG indicators which must be considered for the establishment of ESG information standards. These indicators are called "MtTI-based ESG indicators" and they refer directly to a firm's ESG sustainability plan and its risk indicators.

Suggested Citation

  • Andrea Giacomelli, 2022. "Mark to Target Information: idiosyncratic forward-looking information and its use to define primary ESG indicators," Working Papers 2022:08, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2022:08
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    References listed on IDEAS

    as
    1. Merve Kılıç & Cemil Kuzey, 2018. "Determinants of forward-looking disclosures in integrated reporting," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 33(1), pages 115-144, January.
    2. Bravo, Francisco, 2016. "Forward-looking disclosure and corporate reputation as mechanisms to reduce stock return volatility," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 122-131.
    3. Andrea Giacomelli, 2021. "EU Sustainability Taxonomy for non-financial undertakings: summary reporting criteria and extension to SMEs," Working Papers 2021:29, Department of Economics, University of Venice "Ca' Foscari".
    4. Chiara Mio & Pier Luigi Marchini & Alice Medioli, 2020. "Forward‐looking information in integrated reports: Insights from “best in class”," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2212-2224, September.
    5. Hafeez, Bilal & Li, Xiping & Kabir, M. Humayun & Tripe, David, 2022. "Measuring bank risk: Forward-looking z-score," International Review of Financial Analysis, Elsevier, vol. 80(C).
    6. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    7. Madonna O’Sullivan & Majella Percy & Jenny Stewart, 2008. "Australian evidence on corporate governance attributes and their association with forward-looking information in the annual report," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 12(1), pages 5-35, March.
    8. Kempf, Alexander & Korn, Olaf & Saßning, Sven, 2014. "Portfolio optimization using forward-looking information," CFR Working Papers 11-10 [rev.], University of Cologne, Centre for Financial Research (CFR).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Forward looking information; idiosyncratic information; enterprise risk management; expert judgment; ESG information; ESG risk; ESG sustainability disclosure; ESG transition plan;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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