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Hedging derivatives in the banking industry: Evidence of investor confusion

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  • Dorminey, Jack W.
  • Apostolou, Barbara

Abstract

Hedging derivatives are complex instruments that require particular scrutiny by bank regulators to ensure that a bank’s risk profile is consistent with sound banking practices. The Basel II agreement envisions a system of banking oversight that includes market discipline as a key element of the regulatory framework. A necessary condition in achieving market discipline is that market participants must be able to decipher the underlying conditions from reported results. We examine the relationship between investor confusion and the income effects arising from fair value recognition of hedging derivatives in the banking industry. We use abnormal trading volume as a proxy for investor confusion, and we find a positive and significant relationship between fair value accounting incomes and two alternative measures of abnormal trading volume. The findings suggest that accounting requirements alone may be insufficient to communicate the complexities of hedging derivatives to investors in a way that achieves the market discipline prescribed by Basel II. Bank regulators may need to augment extant efforts for transparency to ensure that risks are adequately communicated to the market.

Suggested Citation

  • Dorminey, Jack W. & Apostolou, Barbara, 2012. "Hedging derivatives in the banking industry: Evidence of investor confusion," Research in Accounting Regulation, Elsevier, vol. 24(2), pages 65-73.
  • Handle: RePEc:eee:reacre:v:24:y:2012:i:2:p:65-73
    DOI: 10.1016/j.racreg.2012.05.006
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    1. Tkac, Paula A., 1999. "A Trading Volume Benchmark: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 89-114, March.
    2. Morse, Dale, 1980. "Asymmetrical Information in Securities Markets and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(5), pages 1129-1148, December.
    3. Steven Balsam & Eli Bartov & Carol Marquardt, 2002. "Accruals Management, Investor Sophistication, and Equity Valuation: Evidence from 10–Q Filings," Journal of Accounting Research, Wiley Blackwell, vol. 40(4), pages 987-1012, September.
    4. Jon A. Garfinkel & Jonathan Sokobin, 2006. "Volume, Opinion Divergence, and Returns: A Study of Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 85-112, March.
    5. Laux, Christian & Leuz, Christian, 2009. "The crisis of fair-value accounting: Making sense of the recent debate," Accounting, Organizations and Society, Elsevier, vol. 34(6-7), pages 826-834, August.
    6. Kim, O & Verrecchia, Re, 1991. "Trading Volume And Price Reactions To Public Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 302-321.
    7. Wayne Landsman, 2007. "Is fair value accounting information relevant and reliable? Evidence from capital market research," Accounting and Business Research, Taylor & Francis Journals, vol. 37(S1), pages 19-30.
    8. Mary Barth & Wayne Landsman, 2010. "How did Financial Reporting Contribute to the Financial Crisis?," European Accounting Review, Taylor & Francis Journals, vol. 19(3), pages 399-423.
    9. Karpoff, Jonathan M, 1986. "A Theory of Trading Volume," Journal of Finance, American Finance Association, vol. 41(5), pages 1069-1087, December.
    10. Jon A. Garfinkel, 2009. "Measuring Investors' Opinion Divergence," Journal of Accounting Research, Wiley Blackwell, vol. 47(5), pages 1317-1348, December.
    11. Bamber, Linda Smith & Barron, Orie E. & Stober, Thomas L., 1999. "Differential Interpretations and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(3), pages 369-386, September.
    12. Abarbanell, Jeffery S. & Lanen, William N. & Verrecchia, Robert E., 1995. "Analysts' forecasts as proxies for investor beliefs in empirical research," Journal of Accounting and Economics, Elsevier, vol. 20(1), pages 31-60, July.
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    Cited by:

    1. Du, Hui & Li, Sherry Fang & Xu, Randall Zhaohui, 2014. "Adjustment of valuation inputs and its effect on value relevance of fair value measurement," Research in Accounting Regulation, Elsevier, vol. 26(1), pages 54-66.
    2. Glasscock, Robson & Harless, David W. & Dorminey, Jack, 2017. "The curious case of Level 3 instruments," Research in Accounting Regulation, Elsevier, vol. 29(1), pages 52-68.
    3. Lu, Hung-Yuan (Richard) & Mande, Vivek, 2014. "Does disaggregation of fair value information increase the value relevance of the fair value hierarchy?," Research in Accounting Regulation, Elsevier, vol. 26(1), pages 90-97.
    4. Hairston, Stephanie A. & Brooks, Marcus R., 2019. "Derivative accounting and financial reporting quality: A review of the literature," Advances in accounting, Elsevier, vol. 44(C), pages 81-94.

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