IDEAS home Printed from https://ideas.repec.org/a/eee/jaecon/v68y2019i1s0165410119300321.html
   My bibliography  Save this article

Linked balance sheet presentation

Author

Listed:
  • Koonce, Lisa
  • Leitter, Zheng
  • White, Brian J.

Abstract

Certain financial statement items are closely related, such as items in hedging relationships. In this paper, we develop theory and conduct two experiments to investigate three different balance sheet presentation formats for related financial statement items. We posit that a linked presentation format rarely used in practice allows financial statement users to better distinguish among firms with different economics. Neither net presentation nor separate presentation of related balance sheet items allows users to make this distinction. The results of two experiments—one in a hedging context and the other in a lending context—support our theory-based predictions.

Suggested Citation

  • Koonce, Lisa & Leitter, Zheng & White, Brian J., 2019. "Linked balance sheet presentation," Journal of Accounting and Economics, Elsevier, vol. 68(1).
  • Handle: RePEc:eee:jaecon:v:68:y:2019:i:1:s0165410119300321
    DOI: 10.1016/j.jacceco.2019.101237
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165410119300321
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jacceco.2019.101237?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Frank D. Hodge & Patrick E. Hopkins & David A. Wood, 2010. "The Effects of Financial Statement Information Proximity and Feedback on Cash Flow Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 27(1), pages 3-3, March.
    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. 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.
    4. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
    5. Koonce, Lisa & Seybert, Nick & Smith, James, 2011. "Causal reasoning in financial reporting and voluntary disclosure," Accounting, Organizations and Society, Elsevier, vol. 36(4), pages 209-225.
    6. Frank D. Hodge & Patrick E. Hopkins & David A. Wood, 2010. "The Effects of Financial Statement Information Proximity and Feedback on Cash Flow Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 27(1), pages 101-133, March.
    7. Robert Libby & Scott A. Emett, 2014. "Earnings presentation effects on manager reporting choices and investor decisions," Accounting and Business Research, Taylor & Francis Journals, vol. 44(4), pages 410-438, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kai A. Bauch & Peter Kotzian & Barbara E. Weißenberger, 2021. "Likeability in subjective performance evaluations: does it bias managers’ weighting of performance measures?," Journal of Business Economics, Springer, vol. 91(1), pages 35-59, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Libby, Robert & Rennekamp, Kristina M. & Seybert, Nicholas, 2015. "Regulation and the interdependent roles of managers, auditors, and directors in earnings management and accounting choice," Accounting, Organizations and Society, Elsevier, vol. 47(C), pages 25-42.
    3. Martin, Rachel, 2019. "Examination and implications of experimental research on investor perceptions," Journal of Accounting Literature, Elsevier, vol. 43(C), pages 145-169.
    4. Maria Misiuda & Maik Lachmann, 2022. "Investors’ Perceptions of Sustainability Reporting—A Review of the Experimental Literature," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    5. Lisa Koonce & Zheng Leitter & Brian White, 2023. "The effect of a warning on investors’ reactions to disclosure readability," Review of Accounting Studies, Springer, vol. 28(2), pages 769-791, June.
    6. Cassell, Cory A. & Myers, Linda A. & Seidel, Timothy A., 2015. "Disclosure transparency about activity in valuation allowance and reserve accounts and accruals-based earnings management," Accounting, Organizations and Society, Elsevier, vol. 46(C), pages 23-38.
    7. Pinto, Inês & Morais, Ana Isabel & Quick, Reiner, 2020. "The impact of the precision of accounting standards on the expanded auditor’s report in the European Union," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 40(C).
    8. 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.
    9. Emett, Scott A. & Nelson, Mark W., 2017. "Reporting accounting changes and their multi-period effects," Accounting, Organizations and Society, Elsevier, vol. 57(C), pages 52-72.
    10. Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023. "Bloated Disclosures: Can ChatGPT Help Investors Process Information?," Papers 2306.10224, arXiv.org, revised Feb 2024.
    11. Berkin, Anil & Aerts, Walter & Van Caneghem, Tom, 2023. "Feasibility analysis of machine learning for performance-related attributional statements," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
    12. Parsons, Linda M. & Tinkelman, Daniel, 2013. "Testing the feasibility of small multiples of sparklines to display semimonthly income statement data," International Journal of Accounting Information Systems, Elsevier, vol. 14(1), pages 58-76.
    13. Baginski, Stephen P. & Demers, Elizabeth & Kausar, Asad & Yu, Yingri Julia, 2018. "Linguistic tone and the small trader," Accounting, Organizations and Society, Elsevier, vol. 68, pages 21-37.
    14. Rjiba, Hatem & Saadi, Samir & Boubaker, Sabri & Ding, Xiaoya (Sara), 2021. "Annual report readability and the cost of equity capital," Journal of Corporate Finance, Elsevier, vol. 67(C).
    15. Krumwiede, Kip R. & Swain, Monte R. & Thornock, Todd A. & Eggett, Dennis L., 2013. "The effects of task outcome feedback and broad domain evaluation experience on the use of unique scorecard measures," Advances in accounting, Elsevier, vol. 29(2), pages 205-217.
    16. Sompong Pornupatham & Hun-Tong Tan & Thanyaluk Vichitsarawong & G-Song Yoo, 2023. "The Effect of Cash Flow Presentation Method on Investors’ Forecast of Future Cash Flows," Management Science, INFORMS, vol. 69(3), pages 1877-1900, March.
    17. Eberhartinger, Eva & Genest, Nadia & Lee, Soojin, 2020. "Financial statement users’ judgment and disaggregated tax disclosure," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 41(C).
    18. Asay, H. Scott & Libby, Robert & Rennekamp, Kristina, 2018. "Firm performance, reporting goals, and language choices in narrative disclosures," Journal of Accounting and Economics, Elsevier, vol. 65(2), pages 380-398.
    19. Soliman, Marwa & Ben-Amar, Walid, 2022. "Corporate social responsibility orientation and textual features of financial disclosures," International Review of Financial Analysis, Elsevier, vol. 84(C).
    20. Azam Pouryousof & Farzaneh Nassirzadeh & Reza Hesarzadeh & Davood Askarany, 2022. "The Relationship between Managers’ Disclosure Tone and the Trading Volume of Investors," JRFM, MDPI, vol. 15(12), pages 1-16, December.

    More about this item

    Keywords

    Financial statements; Linked presentation; Causal reasoning;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaecon:v:68:y:2019:i:1:s0165410119300321. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jae .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.