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The Inconsistent Effects of Plain English Disclosures on Nonprofessional Investors’ Risk Judgments

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  • Jennifer Riley

    (College of Business Administration, University of Nebraska Omaha, Omaha, NE 68182, USA)

  • Eileen Taylor

    (Poole College of Management, North Carolina State University, Raleigh, NC 27695, USA)

Abstract

In this paper, we examine whether the readability of different types of corporate risk disclosures influences the risk judgments of nonprofessional investors. Our study contributes evidence to the Security and Exchange Commission’s ongoing initiative to improve corporate financial statement disclosures. Using 359 responses from an experimental survey of nonprofessional investors (NPIs), we find that readability, in conjunction with risk factor type, significantly influences investors’ judgments of probability and size of economic loss, cause for worry, and overall risk. NPIs judged the risk from an industry-related risk factor (competition) to be higher when written in plain English, but judged the risk of a company-specific risk factor (internal control weakness over financial reporting) to be higher when written in a less readable format (i.e., legalese). We found no significant differences in judgments between plain English and less readable language on a combined industry/company risk factor, information security. Results suggest that a move to plain English for all types of risk factors may have consequences that are not fully understood or expected. This area needs further research before regulators enact (or enforce) mandates for risk factors to be presented in plain English.

Suggested Citation

  • Jennifer Riley & Eileen Taylor, 2018. "The Inconsistent Effects of Plain English Disclosures on Nonprofessional Investors’ Risk Judgments," IJFS, MDPI, vol. 6(1), pages 1-17, March.
    • Handle: RePEc:gam:jijfss:v:6:y:2018:i:1:p:25-:d:134468
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    References listed on IDEAS

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    1. Skinner, Dj, 1994. "Why Firms Voluntarily Disclose Bad-News," Journal of Accounting Research, Wiley Blackwell, vol. 32(1), pages 38-60.
    2. Kristina Rennekamp, 2012. "Processing Fluency and Investors’ Reactions to Disclosure Readability," Journal of Accounting Research, Wiley Blackwell, vol. 50(5), pages 1319-1354, December.
    3. Hun‐Tong Tan & Elaine Ying Wang & Bo Zhou, 2014. "When the Use of Positive Language Backfires: The Joint Effect of Tone, Readability, and Investor Sophistication on Earnings Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 52(1), pages 273-302, March.
    4. Libby, R & Fishburn, Pc, 1977. "Behavioral-Models Of Risk-Taking In Business Decisions - Survey And Evaluation," Journal of Accounting Research, Wiley Blackwell, vol. 15(2), pages 272-292.
    5. Dyer, Travis & Lang, Mark & Stice-Lawrence, Lorien, 2017. "The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation," Journal of Accounting and Economics, Elsevier, vol. 64(2), pages 221-245.
    6. Philip M. Linsley & Michael J. Lawrence, 2007. "Risk reporting by the largest UK companies: readability and lack of obfuscation," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 20(4), pages 620-627, July.
    7. 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.
    8. Skinner, Douglas J., 1997. "Earnings disclosures and stockholder lawsuits," Journal of Accounting and Economics, Elsevier, vol. 23(3), pages 249-282, November.
    9. Chewning, Eugene Jr & Harrell, Adrian M., 1990. "The effect of information load on decision makers' cue utilization levels and decision quality in a financial distress decision task," Accounting, Organizations and Society, Elsevier, vol. 15(6), pages 527-542.
    10. Xiao Carol Cui, 2016. "Calisthenics with Words: The Effect of Readability and Investor Sophistication on Investors’ Performance Judgment," IJFS, MDPI, vol. 4(1), pages 1-14, January.
    11. Amy Hutton, 2004. "Beyond Financial Reporting An Integrated Approach to Disclosure," Journal of Applied Corporate Finance, Morgan Stanley, vol. 16(4), pages 8-16.
    12. Abraham, Santhosh & Shrives, Philip J., 2014. "Improving the relevance of risk factor disclosure in corporate annual reports," The British Accounting Review, Elsevier, vol. 46(1), pages 91-107.
    13. Johnson, Eric J. & Payne, John W. & Bettman, James R., 1988. "Information displays and preference reversals," Organizational Behavior and Human Decision Processes, Elsevier, vol. 42(1), pages 1-21, August.
    14. Abraham, Santhosh & Cox, Paul, 2007. "Analysing the determinants of narrative risk information in UK FTSE 100 annual reports," The British Accounting Review, Elsevier, vol. 39(3), pages 227-248.
    15. 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.
    16. Lipe, M. G., 1998. "Individual investors' risk judgments and investment decisions: The impact of accounting and market data," Accounting, Organizations and Society, Elsevier, vol. 23(7), pages 625-640, October.
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