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Application of text mining to the analysis of climate-related disclosures

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  • Moreno, Angel-Ivan
  • Caminero, Teresa

Abstract

In this article we apply text-mining techniques to analyse the TCFD recommendations on climate-related disclosures of the 12 significant Spanish financial institutions and of the companies comprising the IBEX11The IBEX 35 is a Spanish stock index that measures the behavior of the 35 most negotiated companies within the four Spanish stock exchanges (Madrid, Barcelona, Bilbao and Valencia). The study includes the 35 companies except one (ArcelorMittal), which did not have enough reports available for the period of analysis. 35 stock market index using publicly available corporate reports from 2014 until 2020.

Suggested Citation

  • Moreno, Angel-Ivan & Caminero, Teresa, 2022. "Application of text mining to the analysis of climate-related disclosures," International Review of Financial Analysis, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:finana:v:83:y:2022:i:c:s1057521922002617
    DOI: 10.1016/j.irfa.2022.102307
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    References listed on IDEAS

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    1. Mahmoud El‐Haj & Paul Rayson & Martin Walker & Steven Young & Vasiliki Simaki, 2019. "In search of meaning: Lessons, resources and next steps for computational analysis of financial discourse," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 46(3-4), pages 265-306, March.
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    7. Lara Tarquinio & Domenico Raucci & Roberto Benedetti, 2018. "An Investigation of Global Reporting Initiative Performance Indicators in Corporate Sustainability Reports: Greek, Italian and Spanish Evidence," Sustainability, MDPI, vol. 10(4), pages 1-19, March.
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    Cited by:

    1. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Frankovic, Ivan & Kolb, Benedikt, 2024. "The role of emission disclosure for the low-carbon transition," European Economic Review, Elsevier, vol. 167(C).
    3. Alessi, Lucia & Ossola, Elisa & Panzica, Roberto, 2023. "When do investors go green? Evidence from a time-varying asset-pricing model," International Review of Financial Analysis, Elsevier, vol. 90(C).
    4. Andrés Alonso-Robisco & José Manuel Carbó & José Manuel Marqués, 2023. "Machine Learning methods in climate finance: a systematic review," Working Papers 2310, Banco de España.
    5. Daniel O. Beltran & Pinar Uysal, 2023. "What are Large Global Banks Doing About Climate Change?," International Finance Discussion Papers 1368, Board of Governors of the Federal Reserve System (U.S.).

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