IDEAS home Printed from https://ideas.repec.org/a/spr/fininn/v4y2018i1d10.1186_s40854-018-0086-0.html
   My bibliography  Save this article

Sustainable strategy for corporate governance based on the sentiment analysis of financial reports with CSR

Author

Listed:
  • Yuan Song

    (Tongji University)

  • Hongwei Wang

    (Tongji University)

  • Maoran Zhu

    (Tongji University)

Abstract

Focusing only on shareholders’ financial return is not consistent with the concept of sustainable corporate governance. In contrast to financial performance, corporate social responsibility (CSR) is a non-financial performance index. Financial reports consist of both financial and non-financial disclosures. These disclosures help investors make decisions. This paper characterizes the interaction between the sentiment analysis of financial reports and CSR scores. The classification accuracy through SVM exceeds 86%. The empirical study shows that the financial report sentiment based on the PESTEL model, Porter’s Five Forces model, and Value Chain (Primary and Support Activities) significantly correlates to the CSR score.

Suggested Citation

  • Yuan Song & Hongwei Wang & Maoran Zhu, 2018. "Sustainable strategy for corporate governance based on the sentiment analysis of financial reports with CSR," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-14, December.
    • Handle: RePEc:spr:fininn:v:4:y:2018:i:1:d:10.1186_s40854-018-0086-0
    DOI: 10.1186/s40854-018-0086-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40854-018-0086-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s40854-018-0086-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michelon, Giovanna & Pilonato, Silvia & Ricceri, Federica, 2015. "CSR reporting practices and the quality of disclosure: An empirical analysis," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 33(C), pages 59-78.
    2. Jessen L. Hobson & William J. Mayew & Mohan Venkatachalam, 2012. "Analyzing Speech to Detect Financial Misreporting," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 349-392, May.
    3. Bonsón, Enrique & Bednárová, Michaela, 2015. "CSR reporting practices of Eurozone companies," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 182-193.
    4. Yang Bao & Anindya Datta, 2014. "Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures," Management Science, INFORMS, vol. 60(6), pages 1371-1391, June.
    5. Gray, Glen L. & Debreceny, Roger S., 2014. "A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 357-380.
    6. Chien-Liang Chen & Chao-Lin Liu & Yuan-Chen Chang & Hsiang-Ping Tsai, 2012. "Opinion Mining for Relating Subjective Expressions and Annual Earnings in US Financial Statements," Papers 1210.3865, arXiv.org.
    7. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    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. Aaryan Gupta & Vinya Dengre & Hamza Abubakar Kheruwala & Manan Shah, 2020. "Comprehensive review of text-mining applications in finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.
    2. Antonios Persakis, 2024. "The impact of climate policy uncertainty on ESG performance, carbon emission intensity and firm performance: evidence from Fortune 1000 firms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 24031-24081, September.
    3. Changshi Liu & Gang Kou & Yi Peng & Fawaz E. Alsaadi, 2019. "Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    4. Fedorova, E. & Afanasev, D. & Nersesyan, R. & Ledyaeva, S., 2020. "Impact of non-financial information on key financial indicators of Russian companies," Journal of the New Economic Association, New Economic Association, vol. 46(2), pages 73-96.
    5. Edward Kassem & Oldrich Trenz, 2020. "Automated Sustainability Assessment System for Small and Medium Enterprises Reporting," Sustainability, MDPI, vol. 12(14), pages 1-23, July.
    6. Yin Shi & Xiaoni Li & Maher Asal, 2023. "Impact of sustainability on financial distress in the air transport industry: the moderating effect of Asia–Pacific," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    7. Ning Wang & Shanhui Ke & Yibo Chen & Tao Yan & Andrew Lim, 2019. "Textual Sentiment of Chinese Microblog Toward the Stock Market," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 649-671, March.
    8. Aysu Göçer & Yao Henry Jin & Stanley E. Fawcett, 2019. "How Does the Contingent Sustainability–Risk–Cost Relationship Affect the Viability of CSR? An Emerging Economy Perspective," Sustainability, MDPI, vol. 11(19), pages 1-25, September.

    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. Richard Frankel & Jared Jennings & Joshua Lee, 2022. "Disclosure Sentiment: Machine Learning vs. Dictionary Methods," Management Science, INFORMS, vol. 68(7), pages 5514-5532, July.
    2. Nerissa C. Brown & Richard M. Crowley & W. Brooke Elliott, 2020. "What Are You Saying? Using topic to Detect Financial Misreporting," Journal of Accounting Research, Wiley Blackwell, vol. 58(1), pages 237-291, March.
    3. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2022. "Media-expressed tone, option characteristics, and stock return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    4. Pastwa, Anna M. & Shrestha, Prabal & Thewissen, James & Torsin, Wouter, 2021. "Unpacking the black box of ICO white papers: a topic modeling approach," LIDAM Discussion Papers LFIN 2021018, Université catholique de Louvain, Louvain Finance (LFIN).
    5. Xi Fu & Xiaoxi Wu & Zhifang Zhang, 2021. "The Information Role of Earnings Conference Call Tone: Evidence from Stock Price Crash Risk," Journal of Business Ethics, Springer, vol. 173(3), pages 643-660, October.
    6. S. McKay Price & Michael J. Seiler & Jiancheng Shen, 2017. "Do Investors Infer Vocal Cues from CEOs During Quarterly REIT Conference Calls?," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 515-557, May.
    7. Renato Camodeca & Alex Almici & Umberto Sagliaschi, 2018. "Sustainability Disclosure in Integrated Reporting: Does It Matter to Investors? A Cheap Talk Approach," Sustainability, MDPI, vol. 10(12), pages 1-34, November.
    8. Hills, Robert & Kubic, Matthew & Mayew, William J., 2021. "State sponsors of terrorism disclosure and SEC financial reporting oversight," Journal of Accounting and Economics, Elsevier, vol. 72(1).
    9. Devrimi Kaya & Christian Maier & Tobias Böhmer, 2020. "Empirische Kapitalmarktforschung zu Conference Calls: Eine Literaturanalyse [Empirical Capital Market Research on Conference Calls: A Literature Review]," Schmalenbach Journal of Business Research, Springer, vol. 72(2), pages 183-212, June.
    10. Huijue Kelly Duan & Hanxin Hu & Yangin (Ben) Yoon & Miklos Vasarhelyi, 2022. "Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 201-218, October.
    11. Gow, Ian D. & Kaplan, Steven N. & Larcker, David F. & Zakolyukina, Anastasia A., 2016. "CEO Personality and Firm Policies," Research Papers 3444, Stanford University, Graduate School of Business.
    12. Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).
    13. Abdullah Albizri & Deniz Appelbaum & Nicholas Rizzotto, 2019. "Evaluation of financial statements fraud detection research: a multi-disciplinary analysis," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(4), pages 206-241, December.
    14. Christina Bannier & Thomas Pauls & Andreas Walter, 2019. "Content analysis of business communication: introducing a German dictionary," Journal of Business Economics, Springer, vol. 89(1), pages 79-123, February.
    15. Nadine Gatzert & Dinah Heidinger, 2020. "An Empirical Analysis of Market Reactions to the First Solvency and Financial Condition Reports in the European Insurance Industry," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 407-436, June.
    16. Simon Fritzsch & Philipp Scharner & Gregor Weiß, 2021. "Estimating the relation between digitalization and the market value of insurers," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 529-567, September.
    17. Yu, Xiaohong & Tsang, Albert & Wu, Yujun & Leng, Zhou, 2024. "Stock exchange oversight and investor quotes: Evidence from initial public offering comment letters in China," The British Accounting Review, Elsevier, vol. 56(5).
    18. Frankel, Richard & Jennings, Jared & Lee, Joshua, 2016. "Using unstructured and qualitative disclosures to explain accruals," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 209-227.
    19. Lu Wei & Chen Han & Yinhong Yao, 2022. "The Bias Analysis of Oil and Gas Companies’ Credit Ratings Based on Textual Risk Disclosures," Energies, MDPI, vol. 15(7), pages 1-12, March.
    20. Khaldoon Albitar & Tony Abdoush & Khaled Hussainey, 2023. "Do corporate governance mechanisms and ESG disclosure drive CSR narrative tones?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3876-3890, October.

    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:spr:fininn:v:4:y:2018:i:1:d:10.1186_s40854-018-0086-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.