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How Do Experienced Users Evaluate Hybrid Financial Instruments?

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  • SHANA CLOR‐PROELL
  • LISA KOONCE
  • BRIAN WHITE

Abstract

Hybrid financial instruments contain features of both liabilities and equity. Standard setters continue to struggle with “getting the classification right” for these complex instruments. In this paper, we experimentally test whether the features of hybrid instruments affect the credit‐related judgments of experienced finance professionals, even when the hybrid instruments are already classified as liabilities or equity. Our results suggest that getting the classification right is not of primary importance for these experienced users, as they largely rely on the underlying features of the instrument to make their judgments. A second experiment shows that experienced users’ reliance on features generalizes to several features that often characterize hybrid instruments. However, we also find that experienced users vary in their beliefs about which individual features are most important in distinguishing between liabilities and equity. Together, our results highlight the importance of effective disclosure of hybrid instruments’ features.

Suggested Citation

  • Shana Clor‐Proell & Lisa Koonce & Brian White, 2016. "How Do Experienced Users Evaluate Hybrid Financial Instruments?," Journal of Accounting Research, Wiley Blackwell, vol. 54(5), pages 1267-1296, December.
    • Handle: RePEc:bla:joares:v:54:y:2016:i:5:p:1267-1296
    DOI: 10.1111/1475-679X.12129
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    References listed on IDEAS

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    Cited by:

    1. Borozan, Miloš & Loreta, Cannito & Riccardo, Palumbo, 2022. "Eye-tracking for the study of financial decision-making: A systematic review of the literature," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    2. Neil Fargher & Baljit K. Sidhu & Ann Tarca & Warrick van Zyl, 2019. "Accounting for financial instruments with characteristics of debt and equity: finding a way forward," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(1), pages 7-58, March.
    3. Ethan LaMothe & Donna Bobek, 2020. "Are Individuals More Willing to Lie to a Computer or a Human? Evidence from a Tax Compliance Setting," Journal of Business Ethics, Springer, vol. 167(2), pages 157-180, November.
    4. Kim, Young Jun & Choi, Sera & Lee, Eugenia Y. & Lee, Su Jeong, 2023. "Perpetual securities and stock prices: Korean evidence," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(1).
    5. Koonce, Lisa & Mongold, Cassie & Quaid, Laura & White, Brian J., 2024. "Experimental research on standard-setting issues in financial reporting," Accounting, Organizations and Society, Elsevier, vol. 112(C).
    6. Cascino, Stefano & Clatworthy, Mark A. & Osma, Beatriz Garcia & Gassen, Joachim & Imam, Shahed, 2021. "The usefulness of financial accounting information: evidence from the field," LSE Research Online Documents on Economics 107569, London School of Economics and Political Science, LSE Library.
    7. Tan, Hun-Tong & Wang, Elaine Ying & Yoo, G-Song, 2019. "Who likes jargon? The joint effect of jargon type and industry knowledge on investors’ judgments," Journal of Accounting and Economics, Elsevier, vol. 67(2), pages 416-437.
    8. Austin, Chelsea Rae & Bobek, Donna D. & Jackson, Scott, 2021. "Does prospect theory explain ethical decision making? Evidence from tax compliance," Accounting, Organizations and Society, Elsevier, vol. 94(C).

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