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Text and Context: Language Analytics in Finance

Author

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  • Das, Sanjiv Ranjan

Abstract

This monograph surveys the technology and empirics of text analytics in finance. I present various tools of information extraction and basic text analytics. I survey a range of techniques of classification and predictive analytics, and metrics used to assess the performance of text analytics algorithms. I then review the literature on text mining and predictive analytics in finance, and its connection to networks, covering a wide range of text sources such as blogs, news, web posts, corporate filings, etc. I end with textual content presenting forecasts and predictions about future directions.

Suggested Citation

  • Das, Sanjiv Ranjan, 2014. "Text and Context: Language Analytics in Finance," Foundations and Trends(R) in Finance, now publishers, vol. 8(3), pages 145-261, November.
    • Handle: RePEc:now:fntfin:0500000045
    DOI: 10.1561/0500000045
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    Citations

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    Cited by:

    1. Bask, Mikael & Forsberg, Lars & Östling, Andreas, 2024. "Media sentiment and stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 303-311.
    2. Ioanna Kountouri & Eleftherios Manousakis & Andrianos E. Tsekrekos, 2019. "Latent semantic analysis of corporate social responsibility reports (with an application to Hellenic firms)," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(1), pages 1-19, March.
    3. Zhiyu Cao & Zachary Feinstein, 2024. "Large Language Model in Financial Regulatory Interpretation," Papers 2405.06808, arXiv.org, revised Jul 2024.
    4. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
    5. Lauren Cohen & Christopher Malloy & Quoc Nguyen, 2020. "Lazy Prices," Journal of Finance, American Finance Association, vol. 75(3), pages 1371-1415, June.
    6. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
    7. Faccini, Renato & Matin, Rastin & Skiadopoulos, George, 2023. "Dissecting climate risks: Are they reflected in stock prices?," Journal of Banking & Finance, Elsevier, vol. 155(C).
    8. Lauren Cohen & Christopher Malloy & Quoc Nguyen, 2018. "Lazy Prices," NBER Working Papers 25084, National Bureau of Economic Research, Inc.
    9. 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).
    10. Rob Bauer & Dirk Broeders & Annick van Ool, 2023. "Walk the green talk? A textual analysis of pension funds’ disclosures of sustainable investing," Working Papers 770, DNB.
    11. Michael Lachanski & Steven Pav, 2017. "Shy of the Character Limit: "Twitter Mood Predicts the Stock Market" Revisited," Econ Journal Watch, Econ Journal Watch, vol. 14(3), pages 302–345-3, September.
    12. Shuyi Li & Junhao Kong & Stefan Cristian Gherghina, 2022. "News Sentiment and the Risk of a Stock Price Crash Risk: Based on Financial Dictionary Combined BERT-DCA," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-28, July.
    13. Christian Leuz & Peter D. Wysocki, 2016. "The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 525-622, May.
    14. Daniele Ballinari & Simon Behrendt, 2021. "How to gauge investor behavior? A comparison of online investor sentiment measures," Digital Finance, Springer, vol. 3(2), pages 169-204, June.
    15. 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.
    16. Ongsakul, Viput & Chatjuthamard, Pattanaporn & Jiraporn, Pornsit & Chaivisuttangkun, Sirithida, 2021. "Corporate integrity and hostile takeover threats: Evidence from machine learning and “CEO luck”," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

    More about this item

    Keywords

    Text analytics; Text mining; Financial analysis;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General

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