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Changing Graph Use in Corporate Annual Reports: A Time†Series Analysis

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  • VIVIEN A. BEATTIE
  • MICHAEL J. JONES

Abstract

Graphs in corporate annual reports form part of a powerfully designed annual report package that offers considerable potential for “impression management.†The primary purpose of this paper is to determine whether graph use depends on corporate performance. Time†series analysis, not previously used in the financial graphs literature, allows discretionary changes in graph use by companies to be identified and related to changes in individual companies' corporate performance over time. Based on the prior financial graphs and accounting choice literature, we develop two hypotheses that relate changes in graph use to changes in corporate performance. These hypotheses focus on the aggregate and individual company levels. We base our analysis on the corporate annual reports of 137 top UK companies that were in continued existence during the five†year period from 1988 to 1992. At both the aggregate and individual company levels, we find the decision to use key financial variable (KFV) graphs, the primary graphical choice, to be associated positively with corporate performance measures. This finding is consistent with the manipulation hypothesis †that is, that financial graphs in corporate annual reports are used to “manage†favorably the reader's impression of company performance, and hence that there is a reporting bias.

Suggested Citation

  • 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.
  • Handle: RePEc:wly:coacre:v:17:y:2000:i:2:p:213-226
    DOI: 10.1506/AAT8-3CGL-3J94-PH4F
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    1. Paul Mather & Alan Ramsay & Alan Serry, 1996. "The Use and Representational Faithfulness of Graphs in Annual Reports: Australian Evidence," Australian Accounting Review, CPA Australia, vol. 6(12), pages 56-63, September.
    2. Graves, O. Finley & Flesher, Dale L. & Jordan, Robert E., 1996. "Pictures and the bottom line: The television epistemology of U.S. annual reports," Accounting, Organizations and Society, Elsevier, vol. 21(1), pages 57-88, January.
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    4. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
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    Cited by:

    1. Isabel‐María García‐Sánchez & Cristina‐Andrea Araújo‐Bernardo, 2020. "What colour is the corporate social responsibility report? Structural visual rhetoric, impression management strategies, and stakeholder engagement," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 1117-1142, March.
    2. Beattie, Vivien, 2005. "Moving the financial accounting research front forward: the UK contribution," The British Accounting Review, Elsevier, vol. 37(1), pages 85-114.
    3. Zhang, Xiumin & Zhang, Jinsen & Zhu, Yifan & Shen, Jie, 2023. "Presentation of social responsibility reports and the stock price crash risk," Finance Research Letters, Elsevier, vol. 57(C).
    4. Gehan A. Mousa & Elsayed A. H. Elamir & Khaled Hussainey, 2022. "Using machine learning methods to predict financial performance: Does disclosure tone matter?," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 19(1), pages 93-112, March.
    5. Machado, André & Lima, Fabiano Guasti, 2021. "Sell-side analyst reports and decision-maker reactions: Role of heuristics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    6. Beattie, Vivien, 2014. "Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework," The British Accounting Review, Elsevier, vol. 46(2), pages 111-134.
    7. Karin Eberhard, 2023. "The effects of visualization on judgment and decision-making: a systematic literature review," Management Review Quarterly, Springer, vol. 73(1), pages 167-214, February.

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