IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v61y2022ics0275531922000678.html
   My bibliography  Save this article

Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence

Author

Listed:
  • Mushtaq, Rizwan
  • Gull, Ammar Ali
  • Shahab, Yasir
  • Derouiche, Imen

Abstract

In this study, we employ Natural Language Processing (NLP), a subdomain of artificial intelligence (AI), to predict the sentiments while analyzing 3729 annual 10-k financial reports of S&P 500 companies over the 2002–2019 time period. Our findings suggest that the firm’s financial performance indicators help reduce negativity in the textual part of 10-ks. In contrast, we do not observe any significant association between the firm’s financial performance indicators and 10-ks positivity. Our findings are robust to alternative econometric specifications and alternative measures of key variables. Our results contribute to the accounting and financial disclosure literature by indicating that corporate financial performance indicators can predict the tone of 10-k filings.

Suggested Citation

  • Mushtaq, Rizwan & Gull, Ammar Ali & Shahab, Yasir & Derouiche, Imen, 2022. "Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence," Research in International Business and Finance, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:riibaf:v:61:y:2022:i:c:s0275531922000678
    DOI: 10.1016/j.ribaf.2022.101679
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531922000678
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2022.101679?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    3. William Robert Reed, 2015. "On the Practice of Lagging Variables to Avoid Simultaneity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 897-905, December.
    4. Campello, Murillo & Graham, John R. & Harvey, Campbell R., 2010. "The real effects of financial constraints: Evidence from a financial crisis," Journal of Financial Economics, Elsevier, vol. 97(3), pages 470-487, September.
    5. 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.
    6. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    7. Priyank Gandhi & Tim Loughran & Bill McDonald, 2019. "Using Annual Report Sentiment as a Proxy for Financial Distress in U.S. Banks," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(4), pages 424-436, October.
    8. Wang, Kun & O, Sewon & Claiborne, M. Cathy, 2008. "Determinants and consequences of voluntary disclosure in an emerging market: Evidence from China," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 17(1), pages 14-30.
    9. Doaa Aly & Sherif El-Halaby & Khaled Hussainey, 2018. "Tone disclosure and financial performance: evidence from Egypt," Accounting Research Journal, Emerald Group Publishing Limited, vol. 31(1), pages 63-74, May.
    10. Gehan A. Mousa & Elsayed A. H. Elamir & Khaled Hussainey, 2022. "Using machine learning methods to predict financial performance: Does disclosure tone matter?," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 19(1), pages 93-112, March.
    11. Tim Loughran & Bill McDonald, 2017. "The Use of EDGAR Filings by Investors," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(2), pages 231-248, April.
    12. Mehran Azimi & Anup Agrawal, 2021. "Is Positive Sentiment in Corporate Annual Reports Informative? Evidence from Deep Learning [Cash holdings and credit risk]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(4), pages 762-805.
    13. Rjiba, Hatem & Saadi, Samir & Boubaker, Sabri & Ding, Xiaoya (Sara), 2021. "Annual report readability and the cost of equity capital," Journal of Corporate Finance, Elsevier, vol. 67(C).
    14. Cheng, Hua & Huang, Dayong & Luo, Yan, 2020. "Corporate disclosure quality and institutional investors' holdings during market downturns∗," Journal of Corporate Finance, Elsevier, vol. 60(C).
    15. Jarrad Harford & Sattar A. Mansi & William F. Maxwell, 2012. "Corporate Governance and Firm Cash Holdings in the U.S," Springer Books, in: Sabri Boubaker & Bang Dang Nguyen & Duc Khuong Nguyen (ed.), Corporate Governance, edition 127, pages 107-138, Springer.
    16. Lawrence, Alastair, 2013. "Individual investors and financial disclosure," Journal of Accounting and Economics, Elsevier, vol. 56(1), pages 130-147.
    17. Hesham Bassyouny & Tarek Abdelfattah, 2022. "Executives vs. governance: Who has the predictive power? Evidence from narrative tone," Review of Quantitative Finance and Accounting, Springer, vol. 58(1), pages 361-382, January.
    18. Thomas Schleicher, 2012. "When is good news really good news?," Accounting and Business Research, Taylor & Francis Journals, vol. 42(5), pages 547-573, December.
    19. Samuel B. Bonsall & Brian P. Miller, 2017. "The impact of narrative disclosure readability on bond ratings and the cost of debt," Review of Accounting Studies, Springer, vol. 22(2), pages 608-643, June.
    20. de Souza, João Antônio Salvador & Rissatti, Jean Carlo & Rover, Suliani & Borba, José Alonso, 2019. "The linguistic complexities of narrative accounting disclosure on financial statements: An analysis based on readability characteristics," Research in International Business and Finance, Elsevier, vol. 48(C), pages 59-74.
    21. Dittmar, Amy & Mahrt-Smith, Jan, 2007. "Corporate governance and the value of cash holdings," Journal of Financial Economics, Elsevier, vol. 83(3), pages 599-634, March.
    22. Bodnaruk, Andriy & Loughran, Tim & McDonald, Bill, 2015. "Using 10-K Text to Gauge Financial Constraints," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(4), pages 623-646, August.
    23. 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.
    24. Neifar, Souhir & Jarboui, Anis, 2018. "Corporate governance and operational risk voluntary disclosure: Evidence from Islamic banks," Research in International Business and Finance, Elsevier, vol. 46(C), pages 43-54.
    25. Jegadeesh, Narasimhan & Wu, Di, 2013. "Word power: A new approach for content analysis," Journal of Financial Economics, Elsevier, vol. 110(3), pages 712-729.
    26. Mostafa Monzur Hasan, 2020. "Readability of Narrative Disclosures in 10-K Reports: Does Managerial Ability Matter?," European Accounting Review, Taylor & Francis Journals, vol. 29(1), pages 147-168, January.
    27. Mark A. Clatworthy & Michael John Jones, 2006. "Differential patterns of textual characteristics and company performance in the chairman's statement," Accounting, Auditing & Accountability Journal, Emerald Group Publishing, vol. 19(4), pages 493-511, July.
    28. González, Maximiliano & Guzmán, Alexander & Tellez-Falla, Diego F. & Trujillo, María Andrea, 2021. "Determinants of corporate tone in an initial public offering: Powerful CEOs versus well-functioning boards," Research in International Business and Finance, Elsevier, vol. 58(C).
    29. James N. Cannon & Zhejia Ling & Qian Wang & Olena V. Watanabe, 2020. "10-K Disclosure of Corporate Social Responsibility and Firms’ Competitive Advantages," European Accounting Review, Taylor & Francis Journals, vol. 29(1), pages 85-113, January.
    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. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    2. Yanci Zhang & Mengjia Xia & Mingyang Li & Haitao Mao & Yutong Lu & Yupeng Lan & Jinlin Ye & Rui Dai, 2023. "Form 10-K Itemization," Papers 2303.04688, arXiv.org.

    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. Mousa, Gehan A. & Elamir, Elsayed A.H. & Hussainey, Khaled, 2022. "The effect of annual report narratives on the cost of capital in the Middle East and North Africa: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 62(C).
    2. Hasan, Mostafa Monzur & Habib, Ahsan, 2020. "Readability of narrative disclosures, and corporate liquidity and payout policies," International Review of Financial Analysis, Elsevier, vol. 68(C).
    3. Javid Iqbal & Khalid Riaz, 2022. "Predicting future financial performance of banks from management’s tone in the textual disclosures," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2691-2721, August.
    4. Bassyouny, Hesham & Abdelfattah, Tarek & Tao, Lei, 2022. "Narrative disclosure tone: A review and areas for future research," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 49(C).
    5. Samuel Jebaraj Benjamin, 2019. "The Effect of Financial Constraints on Audit Fees," Capital Markets Review, Malaysian Finance Association, vol. 27(2), pages 59-87.
    6. Özgür Arslan‐Ayaydin & James Thewissen & Wouter Torsin, 2021. "Disclosure tone management and labor unions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 102-147, January.
    7. Chen, Chen & Hanlon, Dean & Khedmati, Mehdi & Wake, James, 2023. "Annual report readability and equity mispricing," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(3).
    8. An, Suwei, 2023. "Essays on incentive contracts, M&As, and firm risk," Other publications TiSEM dd97d2f5-1c9d-47c5-ba62-f, Tilburg University, School of Economics and Management.
    9. Sun, Li, 2023. "Asset redeployability and readability of annual report," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Rjiba, Hatem & Saadi, Samir & Boubaker, Sabri & Ding, Xiaoya (Sara), 2021. "Annual report readability and the cost of equity capital," Journal of Corporate Finance, Elsevier, vol. 67(C).
    11. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    12. Fang, Yiwei & Fiordelisi, Franco & Hasan, Iftekhar & Leung, Woon Sau & Wong, Gabriel, 2023. "Corporate culture and firm value: Evidence from crisis," Journal of Banking & Finance, Elsevier, vol. 146(C).
    13. Dang, Man & Puwanenthiren, Premkanth & Jones, Edward & Bui, Nguyen & Le, Thuy Dung, 2024. "Does corporate culture shape “Tone at the Top”? Evidence from earnings calls," Finance Research Letters, Elsevier, vol. 59(C).
    14. Akhilesh Bajaj & Lori N. K. Leonard & Li Sun & Zhenze Xing, 2023. "Corporate social responsibility and annual report reading difficulty," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1393-1428, May.
    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. Farrell, Michael & Murphy, Dermot & Painter, Marcus & Zhang, Guangli, 2023. "The complexity yield puzzle: A textual analysis of municipal bond disclosures," Working Papers 338, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    17. Miwa, Kotaro, 2022. "The informational role of analysts’ textual statements," Research in International Business and Finance, Elsevier, vol. 59(C).
    18. Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2024. "Machine learning in bank merger prediction: A text-based approach," European Journal of Operational Research, Elsevier, vol. 312(2), pages 783-797.
    19. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    20. Elshandidy, Tamer & Kamel, Hany, 2024. "Tone of narrative disclosures and earnings management: UK evidence," Advances in accounting, Elsevier, vol. 64(C).

    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:eee:riibaf:v:61:y:2022:i:c:s0275531922000678. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.