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Qualitative Disclosure and Changes in Sell†Side Financial Analysts' Information Environment

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  • Zahn Bozanic
  • Maya Thevenot

Abstract

We examine a routine and timely disclosure, earnings press releases, to determine the extent to which several novel qualitative elements of such disclosures are associated with changes in sell†side financial analysts' information environment. Using a comprehensive set of GARCH†based (generalized autoregressive conditional heteroscedasticity) proxies, we examine how disclosure readability's components, across†document textual similarity, and within†document lexical diversity alter analysts' information environment. We find that readability in the form of shorter sentences, textual similarity, and lexical diversity are strongly related to decreases in analysts' uncertainty. Further, shorter sentences and lexical diversity improve both public and private information precision, whereas similarity affects solely analysts' private information precision. While the GARCH†based proxies allow us to alleviate concerns regarding potentially spurious inferences (Sheng and Thevenot 2012), we note as a caveat that such an estimation restricts our inferences to large, stable, and heavily followed firms. These findings should be of interest to analysts who may wish to explore the latent information contained within the qualitative elements of disclosure, regulators who direct the form and content of disclosure, and academics who study the use (and possible misuse) of various forms of information and its presentation.

Suggested Citation

  • Zahn Bozanic & Maya Thevenot, 2015. "Qualitative Disclosure and Changes in Sell†Side Financial Analysts' Information Environment," Contemporary Accounting Research, John Wiley & Sons, vol. 32(4), pages 1595-1616, December.
  • Handle: RePEc:wly:coacre:v:32:y:2015:i:4:p:1595-1616
    DOI: 10.1111/1911-3846.12123
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    Citations

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    Cited by:

    1. Rani Hoitash & Udi Hoitash & Ari Yezegel, 2021. "Can sell-side analysts’ experience, expertise and qualifications help mitigate the adverse effects of accounting reporting complexity?," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 859-897, October.
    2. Fei, Xingyuan, 2022. "Nondisclosure and analyst behavior: Evidence from redaction of proprietary information from public filings," Journal of Corporate Finance, Elsevier, vol. 72(C).
    3. Wang, Qi & Zhang, Lin & Ma, Qianqun & Wu, Chong, 2024. "The impact of financial risk on boilerplate of key audit matters: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PB).
    4. Paul, Samit & Sharma, Prateek, 2023. "Does earnings management affect linguistic features of MD&A disclosures?," Finance Research Letters, Elsevier, vol. 51(C).
    5. Christian Lohmann & Thorsten Ohliger, 2020. "Bankruptcy prediction and the discriminatory power of annual reports: empirical evidence from financially distressed German companies," Journal of Business Economics, Springer, vol. 90(1), pages 137-172, February.
    6. Zahn Bozanic & Maria Loumioti & Florin P. Vasvari, 2018. "Corporate Loan Securitization and the Standardization of Financial Covenants," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 45-83, March.
    7. Del Gaudio, Belinda L. & Porzio, Claudio & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2020. "Public policy and venture capital: Pursuing the disclosure goal," Research in International Business and Finance, Elsevier, vol. 51(C).
    8. Wanyi Chen & Liguang Zhang & Pinyan Jiang & Fanli Meng & Qianyi Sun, 2022. "Can digital transformation improve the information environment of the capital market? Evidence from the analysts' prediction behaviour," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2543-2578, June.
    9. Cory A. Cassell & Lauren M. Cunningham & Ling Lei Lisic, 2019. "The readability of company responses to SEC comment letters and SEC 10-K filing review outcomes," Review of Accounting Studies, Springer, vol. 24(4), pages 1252-1276, December.
    10. Sun, Li & Johnson, Grace & Bradley, Wray, 2022. "CEO power and annual report reading difficulty," Journal of Contemporary Accounting and Economics, Elsevier, vol. 18(2).
    11. 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.
    12. Booker, Adam & Chiu, Victoria & Groff, Nathan & Richardson, Vernon J., 2024. "AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
    13. Bonsall, Samuel B. & Leone, Andrew J. & Miller, Brian P. & Rennekamp, Kristina, 2017. "A plain English measure of financial reporting readability," Journal of Accounting and Economics, Elsevier, vol. 63(2), pages 329-357.
    14. Mai, Feng & Tian, Shaonan & Lee, Chihoon & Ma, Ling, 2019. "Deep learning models for bankruptcy prediction using textual disclosures," European Journal of Operational Research, Elsevier, vol. 274(2), pages 743-758.
    15. Andrei Filip & Gerald J. Lobo & Luc Paugam & Hervé Stolowy, 2022. "Disclosures About Key Value Drivers in M&A Announcement Press Releases: An Exploratory Study," Abacus, Accounting Foundation, University of Sydney, vol. 58(1), pages 62-104, March.
    16. Brian J. Bushee & Ian D. Gow & Daniel J. Taylor, 2018. "Linguistic Complexity in Firm Disclosures: Obfuscation or Information?," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 85-121, March.
    17. Sun, Li, 2023. "Asset redeployability and readability of annual report," Research in International Business and Finance, Elsevier, vol. 64(C).

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