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Data visualization in 10-K filings

Author

Listed:
  • Christensen, Theodore E.
  • Fronk, Karson E.
  • Lee, Joshua A.
  • Nelson, Karen K.

Abstract

The Securities and Exchange Commission encourages the presentation of information or data in graphical form to improve users' ability to understand financial disclosures. We find a dramatic increase in the disclosure of both qualitative and quantitative infographics in 10-K filings over time and substantial cross-sectional variation in firms' choices regarding image types, data content, and the placement of infographics within 10-Ks. We provide evidence on factors associated with firms’ use of infographics and explore the persistence with which they are disclosed over time. Finally, we investigate the relation between the use of infographics and uncertainty in capital markets.

Suggested Citation

  • Christensen, Theodore E. & Fronk, Karson E. & Lee, Joshua A. & Nelson, Karen K., 2024. "Data visualization in 10-K filings," Journal of Accounting and Economics, Elsevier, vol. 77(2).
  • Handle: RePEc:eee:jaecon:v:77:y:2024:i:2:s0165410123000551
    DOI: 10.1016/j.jacceco.2023.101631
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    References listed on IDEAS

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    1. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    2. Tim Loughran & Bill Mcdonald, 2014. "Measuring Readability in Financial Disclosures," Journal of Finance, American Finance Association, vol. 69(4), pages 1643-1671, August.
    3. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    4. Asher B. Curtis & Russell J. Lundholm & Sarah E. Mcvay, 2014. "Forecasting Sales: A Model and Some Evidence from the Retail Industry," Contemporary Accounting Research, John Wiley & Sons, vol. 31(2), pages 581-608, June.
    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. Stock, D & Watson, Cj, 1984. "Human Judgment Accuracy, Multidimensional Graphics, And Humans Versus Models," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 192-206.
    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. Burgstahler, David & Dichev, Ilia, 1997. "Earnings management to avoid earnings decreases and losses," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 99-126, December.
    9. Jennifer Francis & Katherine Schipper & Linda Vincent, 2003. "The Relative and Incremental Explanatory Power of Earnings and Alternative (to Earnings) Performance Measures for Returns," Contemporary Accounting Research, John Wiley & Sons, vol. 20(1), pages 121-164, March.
    10. Asay, H. Scott & Libby, Robert & Rennekamp, Kristina M., 2018. "Do features that associate managers with a message magnify investors’ reactions to narrative disclosures?," Accounting, Organizations and Society, Elsevier, vol. 68, pages 1-14.
    11. Kim, Irene & Skinner, Douglas J., 2012. "Measuring securities litigation risk," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 290-310.
    12. 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.
    13. Moriarity, S, 1979. "Communicating Financial Information Through Multidimensional Graphics," Journal of Accounting Research, Wiley Blackwell, vol. 17(1), pages 205-224.
    14. Gregory S. Miller & Douglas J. Skinner, 2015. "The Evolving Disclosure Landscape: How Changes in Technology, the Media, and Capital Markets Are Affecting Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 221-239, May.
    15. Vivien A. Beattie & Michael J. Jones, 2000. "Changing Graph Use in Corporate Annual Reports: A Time†Series Analysis," Contemporary Accounting Research, John Wiley & Sons, vol. 17(2), pages 213-226, June.
    16. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    17. Francois Brochet & Kalin Kolev & Alina Lerman, 2018. "Information transfer and conference calls," Review of Accounting Studies, Springer, vol. 23(3), pages 907-957, September.
    18. Laurion, Henry, 2020. "Implications of Non-GAAP earnings for real activities and accounting choices," Journal of Accounting and Economics, Elsevier, vol. 70(1).
    19. Dan Givoly & Yifan Li & Ben Lourie & Alexander Nekrasov, 2019. "Key performance indicators as supplements to earnings: Incremental informativeness, demand factors, measurement issues, and properties of their forecasts," Review of Accounting Studies, Springer, vol. 24(4), pages 1147-1183, December.
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    More about this item

    Keywords

    Voluntary disclosure; Data visualization; Infographics; Graphic similarity; Market uncertainty;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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