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

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  • 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
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    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.
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    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.

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