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Does Pro Forma Reporting Bias Analyst Forecasts?

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  • Patric Andersson
  • Niclas Hellman

Abstract

Standard setters put much effort into the development of 'better' financial reporting standards, that is, standards that more accurately capture the economic substance of business activities. However, the more sophisticated accounting treatments caused by new standards, and the growing complexity of business activities as such, has made financial reports more difficult to understand. In response to this situation, some companies use pro forma reporting, which means that certain complex items required by financial reporting standards are excluded. This study adopts a user perspective and investigates how pro forma reporting affects analysts' judgments in an experimental setting. On the basis of psychological theory, our hypothesis suggests that analysts' judgments will be affected by differences in the way company performance is presented. Our results show that analysts who received both pro forma and Generally Accepted Accounting Principles (GAAP) information made significantly higher earnings per share (EPS) forecasts than those who received GAAP information only. It is argued that positive framing and higher levels of anchor explain this result, which suggests in turn that analysts' EPS forecasts can be manipulated by alternative ways of presenting company performance. Some possible implications of this finding for standard setters are discussed.

Suggested Citation

  • Patric Andersson & Niclas Hellman, 2007. "Does Pro Forma Reporting Bias Analyst Forecasts?," European Accounting Review, Taylor & Francis Journals, vol. 16(2), pages 277-298.
  • Handle: RePEc:taf:euract:v:16:y:2007:i:2:p:277-298
    DOI: 10.1080/09638180701390966
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    Citations

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    Cited by:

    1. Andersson, Patric & Hellman, Niclas, 2020. "Analysts’ evaluations of acquisitions: Swedish survey evidence on IFRS knowledge and the use of accounting information for valuation purposes," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 41(C).
    2. Steven Young, 2014. "The drivers, consequences and policy implications of non-GAAP earnings reporting," Accounting and Business Research, Taylor & Francis Journals, vol. 44(4), pages 444-465, August.
    3. Claudia Arena & Simona Catuogno & Nicola Moscariello, 2021. "The unusual debate on non-GAAP reporting in the current standard practice. The lens of corporate governance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(3), pages 655-684, September.
    4. Daniel Reimsbach & Rüdiger Hahn, 2015. "The Effects of Negative Incidents in Sustainability Reporting on Investors’ Judgments–an Experimental Study of Third‐party Versus Self‐disclosure in the Realm of Sustainable Development," Business Strategy and the Environment, Wiley Blackwell, vol. 24(4), pages 217-235, May.
    5. Susan M. Albring & María T. Cabán‐García & Jacqueline L. Reck, 2010. "The value relevance of a non‐GAAP performance metric to the capital markets," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 9(3), pages 264-284, August.
    6. Yu-An Chen & Ann F. Medinets & Dan Palmon, 2022. "Disclosure regulations work: The case of regulation G," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1037-1062, April.
    7. Chen, Xiaomeng Charlene & Hellmann, Andreas & Sood, Suresh, 2022. "A framework for analyst economic incentives and cognitive biases: Origination of the walk-down in earnings forecasts," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    8. Karola Bastini & Rainer Kasperzak, 2013. "Erkenntnisfortschritt in der Rechnungslegung durch experimentelle Forschung? — Diskussion methodischer Grundsatzfragen anhand der Entscheidungsnützlichkeit des Performance Reporting," Schmalenbach Journal of Business Research, Springer, vol. 65(7), pages 622-660, December.
    9. Li, Fengfei & Lin, Chen & Lin, Tse-Chun, 2021. "Salient anchor and analyst recommendation downgrade," Journal of Corporate Finance, Elsevier, vol. 69(C).
    10. Sascha B. Herr & Peter Lorson & Jochen Pilhofer, 2022. "Alternative Performance Measures: A Structured Literature Review of Research in Academic and Professional Journals," Schmalenbach Journal of Business Research, Springer, vol. 74(3), pages 389-451, September.
    11. Mark Brosnan & Keith Duncan & Tim Hasso & Janice Hollindale, 2023. "Non‐GAAP earnings and executive compensation: An experiment," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4375-4398, December.

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