IDEAS home Printed from https://ideas.repec.org/a/mnb/finrev/v21y2022i4p129-149.html
   My bibliography  Save this article

Media Attention to Environmental Issues and ESG Investing

Author

Listed:
  • Balazs J. Csillag

    (John von Neumann University)

  • Marcell P. Granat

    (Magyar Nemzeti Bank)

  • Gabor Neszveda

    (Magyar Nemzeti Bank)

Abstract

We analyse how ESG scores affect future returns when environmental issues receive higher media coverage. Investors might take environmental aspects into account if they are confronted with the issue of global warming more frequently in the press. We assess the prevalence of environmental issues in the media with a machine learning-based Structural Topic Modelling (STM) methodology, using a news archive published in the USA. Running Fama-MacBeth regressions, we find that in periods when the media actively report on environmental issues, ESG scores have a significant negative impact on future returns, whereas, in months when fewer such articles are published, investors do not take sustainability measures into account, and ESG scores have no explanatory power.

Suggested Citation

  • Balazs J. Csillag & Marcell P. Granat & Gabor Neszveda, 2022. "Media Attention to Environmental Issues and ESG Investing," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 21(4), pages 129-149.
  • Handle: RePEc:mnb:finrev:v:21:y:2022:i:4:p:129-149
    as

    Download full text from publisher

    File URL: https://en-hitelintezetiszemle.mnb.hu/letoltes/fer-21-4-st5-csillag-granat-neszveda.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Naffa, Helena & Fain, Máté, 2022. "A factor approach to the performance of ESG leaders and laggards," Finance Research Letters, Elsevier, vol. 44(C).
    2. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    3. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    4. Jie Cao & Sheridan Titman & Xintong Zhan & Weiming Zhang, 2020. "ESG Preference, Institutional Trading, and Stock Return Patterns," NBER Working Papers 28156, National Bureau of Economic Research, Inc.
    5. Elizabeth Demers & Jurian Hendrikse & Philip Joos & Baruch Lev, 2021. "ESG did not immunize stocks during the COVID‐19 crisis, but investments in intangible assets did," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(3-4), pages 433-462, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Botond Benedek & Balint Zsolt Nagy, 2023. "Traditional versus AI-Based Fraud Detection: Cost Efficiency in the Field of Automobile Insurance," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 22(2), pages 77-98.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yun Meng & Christos Pantzalis, 2021. "Lottery-type stocks and corporate strategies at the turn of the month," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 1027-1055, April.
    2. Costanza Torricelli & Beatrice Bertelli, 2022. "ESG screening strategies and portfolio performance: how do they fare in periods of financial distress?," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0087, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    3. Michael McShane & Trung Nguyen, 2020. "Time-varying effects of cyberattacks on firm value," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 580-615, October.
    4. Wang, Albert Y. & Young, Michael, 2023. "Mood, attention, and household trading: Evidence from terrorist attacks," Journal of Financial Markets, Elsevier, vol. 66(C).
    5. Guanming He, 2021. "Credit rating, post‐earnings‐announcement drift, and arbitrage from transient institutions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(7-8), pages 1434-1467, July.
    6. Bebchuk, Lucian A. & Cohen, Alma & Wang, Charles C.Y., 2013. "Learning and the disappearing association between governance and returns," Journal of Financial Economics, Elsevier, vol. 108(2), pages 323-348.
    7. Even-Tov, Omri, 2017. "When does the bond price reaction to earnings announcements predict future stock returns?," Journal of Accounting and Economics, Elsevier, vol. 64(1), pages 167-182.
    8. David Hirshleifer & Kewei Hou & Siew Hong Teoh, 2012. "The Accrual Anomaly: Risk or Mispricing?," Management Science, INFORMS, vol. 58(2), pages 320-335, February.
    9. Michaely, Roni & Rubin, Amir & Vedrashko, Alexander, 2016. "Are Friday announcements special? Overcoming selection bias," Journal of Financial Economics, Elsevier, vol. 122(1), pages 65-85.
    10. Oh, Jong-Min, 2017. "Absorptive capacity, technology spillovers, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 146-164.
    11. Akbas, Ferhat & Markov, Stanimir & Subasi, Musa & Weisbrod, Eric, 2018. "Determinants and consequences of information processing delay: Evidence from the Thomson Reuters Institutional Brokers’ Estimate System," Journal of Financial Economics, Elsevier, vol. 127(2), pages 366-388.
    12. Jannati, Sima, 2020. "Geographic spillover of dominant firms’ shocks," Journal of Banking & Finance, Elsevier, vol. 118(C).
    13. Swasti Gupta‐Mukherjee & Ankur Pareek, 2020. "Limited attention and portfolio choice: The impact of attention allocation on mutual fund performance," Financial Management, Financial Management Association International, vol. 49(4), pages 1083-1125, December.
    14. Cheema, Arbab K. & Eshraghi, Arman & Wang, Qingwei, 2023. "Macroeconomic news and price synchronicity," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 390-412.
    15. Giovanni Cardillo & Ennio Bendinelli & Giuseppe Torluccio, 2023. "COVID‐19, ESG investing, and the resilience of more sustainable stocks: Evidence from European firms," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 602-623, January.
    16. Ho, Hwai-Chung & Tsai, Wei-Che, 2020. "Price delay and post-earnings announcement drift anomalies: The role of option-implied betas," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    17. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    18. Ahmad, Fawad & Oriani, Raffaele, 2022. "Investor attention, information acquisition, and value premium: A mispricing perspective," International Review of Financial Analysis, Elsevier, vol. 79(C).
    19. Alejandro Bernales & Marcela Valenzuela & Ilknur Zer, 2023. "Effects of Information Overload on Financial Markets: How Much Is Too Much?," International Finance Discussion Papers 1372, Board of Governors of the Federal Reserve System (U.S.).
    20. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.

    More about this item

    Keywords

    ESG; environmental issues; investors' attention; Structural Topic Model; Fama-MacBeth regression;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mnb:finrev:v:21:y:2022:i:4:p:129-149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Morvay Endre (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.