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Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research

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  • Ingrid E. Fisher
  • Margaret R. Garnsey
  • Mark E. Hughes

Abstract

Natural language processing (NLP) is a part of the artificial intelligence domain focused on communication between humans and computers. NLP attempts to address the inherent problem that while human communications are often ambiguous and imprecise, computers require unambiguous and precise messages to enable understanding. The accounting, auditing and finance domains frequently put forth textual documents intended to communicate a wide variety of messages, including, but not limited to, corporate financial performance, management's assessment of current and future firm performance, analysts’ assessments of firm performance, domain standards and regulations as well as evidence of compliance with relevant standards and regulations. NLP applications have been used to mine these documents to obtain insights, make inferences and to create additional methodologies and artefacts to advance knowledge in accounting, auditing and finance. This paper synthesizes the extant literature in NLP in accounting, auditing and finance to establish the state of current knowledge and to identify paths for future research. Copyright © 2016 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
  • Handle: RePEc:wly:isacfm:v:23:y:2016:i:3:p:157-214
    DOI: 10.1002/isaf.1386
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    as
    1. David F. Larcker & Anastasia A. Zakolyukina, 2012. "Detecting Deceptive Discussions in Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
    2. Jeffrey Cohen & Yuan Ding & Cédric Lesage & Hervé Stolowy, 2010. "Corporate Fraud and Managers’ Behavior: Evidence from the Press," Journal of Business Ethics, Springer, vol. 95(2), pages 271-315, September.
    3. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    4. Khaled Hussainey & Thomas Schleicher & Martin Walker, 2003. "Undertaking large-scale disclosure studies when AIMR-FAF ratings are not available: the case of prices leading earnings," Accounting and Business Research, Taylor & Francis Journals, vol. 33(4), pages 275-294.
    5. Tim Loughran & Bill Mcdonald, 2014. "Measuring Readability in Financial Disclosures," Journal of Finance, American Finance Association, vol. 69(4), pages 1643-1671, August.
    6. Kathleen Weiss Hanley, 2010. "The Information Content of IPO Prospectuses," Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2821-2864, July.
    7. Niamh Brennan & Encarna Guillamon-Saorin & Aileen Pierce, 2009. "Impression management : developing and illustrating a scheme of analysis for narrative disclosures – a methodological note," Open Access publications 10197/2905, Research Repository, University College Dublin.
    8. Hooghiemstra, Reggy, 2010. "Letters to the shareholders: A content analysis comparison of letters written by CEOs in the United States and Japan," The International Journal of Accounting, Elsevier, vol. 45(3), pages 275-300, September.
    9. Unknown, 2014. "Media Coverage 2014," 2014: Ethics, Efficiency and Food Security: Feeding the 9 Billion, Well, 26-28 August 2014 225573, Crawford Fund.
    10. El’Fred Boo & Roger Simnett, 2002. "The Information Content of Management’s Prospective Comments in Financially Distressed Companies: A Note," Abacus, Accounting Foundation, University of Sydney, vol. 38(2), pages 280-295, June.
    11. Paul C. Tetlock, 2011. "All the News That's Fit to Reprint: Do Investors React to Stale Information?," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1481-1512.
    12. Solomon, David H. & Soltes, Eugene & Sosyura, Denis, 2014. "Winners in the spotlight: Media coverage of fund holdings as a driver of flows," Journal of Financial Economics, Elsevier, vol. 113(1), pages 53-72.
    13. Ingram, Rw & Frazier, Kb, 1980. "Environmental Performance And Corporate Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 18(2), pages 614-622.
    14. Angela K. Davis & Jeremy M. Piger & Lisa M. Sedor, 2012. "Beyond the Numbers: Measuring the Information Content of Earnings Press Release Language," Contemporary Accounting Research, John Wiley & Sons, vol. 29(3), pages 845-868, September.
    15. Edward H. Bowman, 1984. "Content Analysis of Annual Reports for Corporate Strategy and Risk," Interfaces, INFORMS, vol. 14(1), pages 61-71, February.
    16. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    17. Price, S. McKay & Doran, James S. & Peterson, David R. & Bliss, Barbara A., 2012. "Earnings conference calls and stock returns: The incremental informativeness of textual tone," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 992-1011.
    18. Jegadeesh, Narasimhan & Wu, Di, 2013. "Word power: A new approach for content analysis," Journal of Financial Economics, Elsevier, vol. 110(3), pages 712-729.
    19. Surendra Singh Singhvi, 1968. "Corporate Disclosure Through Annual Reports In The United States Of America And India," Journal of Finance, American Finance Association, vol. 23(3), pages 551-552, June.
    20. Doris M. Merkl-Davies & Niamh Brennan, 2007. "Discretionary disclosure strategies in corporate narratives : incremental information or impression management?," Open Access publications 10197/2907, Research Repository, University College Dublin.
    21. Ken Crofts & Jayne Bisman, 2010. "Interrogating accountability," Qualitative Research in Accounting & Management, Emerald Group Publishing Limited, vol. 7(2), pages 180-207, June.
    22. 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.
    23. Linsley, Philip M. & Shrives, Philip J., 2006. "Risk reporting: A study of risk disclosures in the annual reports of UK companies," The British Accounting Review, Elsevier, vol. 38(4), pages 387-404.
    24. Core, John E. & Guay, Wayne & Larcker, David F., 2008. "The power of the pen and executive compensation," Journal of Financial Economics, Elsevier, vol. 88(1), pages 1-25, April.
    25. Vivien Beattie & Bill McInnes & Stella Fearnley, 2004. "A methodology for analysing and evaluating narratives in annual reports: a comprehensive descriptive profile and metrics for disclosure quality attributes," Accounting Forum, Taylor & Francis Journals, vol. 28(3), pages 205-236, September.
    26. Peter M. Clarkson & Jennifer L. Kao & Gordon D. Richardson, 1994. "The Voluntary Inclusion of Forecasts in the MD&A Section of Annual Reports," Contemporary Accounting Research, John Wiley & Sons, vol. 11(1), pages 423-450, June.
    27. Smales, Lee A., 2014. "News sentiment and the investor fear gauge," Finance Research Letters, Elsevier, vol. 11(2), pages 122-130.
    28. Xueming Luo & Jie Zhang & Wenjing Duan, 2013. "Social Media and Firm Equity Value," Information Systems Research, INFORMS, vol. 24(1), pages 146-163, March.
    29. Frazier, Kb & Ingram, Rw & Tennyson, Bm, 1984. "A Methodology For The Analysis Of Narrative Accounting Disclosures," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 318-331.
    30. Xin Ying Qiu & Padmini Srinivasan & Yong Hu, 2014. "Supervised learning models to predict firm performance with annual reports: An empirical study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 400-413, February.
    31. Patricia M. Dechow & Weili Ge & Chad R. Larson & Richard G. Sloan, 2011. "Predicting Material Accounting Misstatements," Contemporary Accounting Research, John Wiley & Sons, vol. 28(1), pages 17-82, March.
    32. Mark Clatworthy & Michael Jones, 2003. "Financial reporting of good news and bad news: evidence from accounting narratives," Accounting and Business Research, Taylor & Francis Journals, vol. 33(3), pages 171-185.
    33. Angela K. Davis & Isho Tama†Sweet, 2012. "Managers’ Use of Language Across Alternative Disclosure Outlets: Earnings Press Releases versus MD&A," Contemporary Accounting Research, John Wiley & Sons, vol. 29(3), pages 804-837, September.
    34. Feng Li, 2010. "The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach," Journal of Accounting Research, Wiley Blackwell, vol. 48(5), pages 1049-1102, December.
    35. Niamh M. Brennan & Encarna Guillamon‐Saorin & Aileen Pierce, 2009. "Methodological Insights," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 22(5), pages 789-832, June.
    36. Stephen P. Baginski & John M. Hassell & Michael D. Kimbrough, 2004. "Why Do Managers Explain Their Earnings Forecasts?," Journal of Accounting Research, Wiley Blackwell, vol. 42(1), pages 1-29, March.
    37. Tim Loughran & Bill McDonald & Hayong Yun, 2009. "A Wolf in Sheep’s Clothing: The Use of Ethics-Related Terms in 10-K Reports," Journal of Business Ethics, Springer, vol. 89(1), pages 39-49, May.
    38. Michelle T. Armesto & Rub…N Hern¡Ndez-Murillo & Michael T. Owyang & Jeremy Piger, 2009. "Measuring the Information Content of the Beige Book: A Mixed Data Sampling Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 35-55, February.
    39. Ijiri, Y & Kinard, Jc & Putney, Fb, 1968. "Integrated Evaluation System For Budget Forecasting And Operating Performance With A Classified Budgeting Bibliography," Journal of Accounting Research, Wiley Blackwell, vol. 6(1), pages 1-28.
    40. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    41. Gregory S. Miller, 2002. "Earnings Performance and Discretionary Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 173-204, March.
    42. Kearney, Colm & Liu, Sha, 2014. "Textual sentiment in finance: A survey of methods and models," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 171-185.
    43. Russell Craig & Tony Mortensen & Shefali Iyer, 2013. "Exploring Top Management Language for Signals of Possible Deception: The Words of Satyam’s Chair Ramalinga Raju," Journal of Business Ethics, Springer, vol. 113(2), pages 333-347, March.
    44. Sirkka L. Jarvenpaa & Blake Ives, 1990. "Information Technology and Corporate Strategy: A View from the Top," Information Systems Research, INFORMS, vol. 1(4), pages 351-376, December.
    45. Hofstedt, Thomas R., 1976. "Behavioral accounting research: Pathologies, paradigms and prescriptions," Accounting, Organizations and Society, Elsevier, vol. 1(1), pages 43-58, January.
    46. 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.
    47. Hooghiemstra, Reggy, 2010. "Reply to discussion of "Letters to the shareholders: A content analysis comparison of letters written by CEOs in the U.S. and Japan"," The International Journal of Accounting, Elsevier, vol. 45(3), pages 303-305, September.
    48. Chakraborty, Vasundhara & Chiu, Victoria & Vasarhelyi, Miklos, 2014. "Automatic classification of accounting literature," International Journal of Accounting Information Systems, Elsevier, vol. 15(2), pages 122-148.
    49. Hoskin, Re & Hughes, Js & Ricks, We, 1986. "Evidence On The Incremental Information-Content Of Additional Firm Disclosures Made Concurrently With Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 24, pages 1-32.
    50. Pekka Malo & Ankur Sinha & Pekka Korhonen & Jyrki Wallenius & Pyry Takala, 2014. "Good debt or bad debt: Detecting semantic orientations in economic texts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 782-796, April.
    51. Alessandro Carretta & Vincenzo Farina & Elvira Anna Graziano & Marco Reale, 2013. "Does Investor Attention Influence Stock Market Activity? The Case of Spin-Off Deals," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Alessandro Carretta & Gianluca Mattarocci (ed.), Asset Pricing, Real Estate and Public Finance over the Crisis, chapter 1, pages 7-24, Palgrave Macmillan.
    52. Lu, Yang-Cheng & Shen, Chung-Hua & Wei, Yu-Chen, 2013. "Revisiting early warning signals of corporate credit default using linguistic analysis," Pacific-Basin Finance Journal, Elsevier, vol. 24(C), pages 1-21.
    53. Aerts, Walter, 1994. "On the use of accounting logic as an explanatory category in narrative accounting disclosures," Accounting, Organizations and Society, Elsevier, vol. 19(4-5), pages 337-353.
    54. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    55. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    56. Govindarajan, Vijayaraghavan, 1980. "The objectives of financial statements: An empirical study of the use of cash flow and earnings by security analysts," Accounting, Organizations and Society, Elsevier, vol. 5(4), pages 383-392, October.
    57. Sadique, Shibley & In, Francis & Veeraraghavan, Madhu & Wachtel, Paul, 2013. "Soft information and economic activity: Evidence from the Beige Book," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 81-92.
    58. 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.
    59. Boritz, J. Efrim & Hayes, Louise & Lim, Jee-Hae, 2013. "A content analysis of auditors' reports on IT internal control weaknesses: The comparative advantages of an automated approach to control weakness identification," International Journal of Accounting Information Systems, Elsevier, vol. 14(2), pages 138-163.
    60. Bin Gu & Prabhudev Konana & Balaji Rajagopalan & Hsuan-Wei Michelle Chen, 2007. "Competition Among Virtual Communities and User Valuation: The Case of Investing-Related Communities," Information Systems Research, INFORMS, vol. 18(1), pages 68-85, March.
    61. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    62. 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.
    63. Balakrishnan, Ramji & Qiu, Xin Ying & Srinivasan, Padmini, 2010. "On the predictive ability of narrative disclosures in annual reports," European Journal of Operational Research, Elsevier, vol. 202(3), pages 789-801, May.
    64. Stephen P. Ferris & (Grace) Qing Hao & (Stella) Min-Yu Liao, 2013. "The Effect of Issuer Conservatism on IPO Pricing and Performance," Review of Finance, European Finance Association, vol. 17(3), pages 993-1027.
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