Cited by 78Risk Management in Financial FirmsAuditing, Earnings Management, GovernanceAccounting Theory and Financial Reporting

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Corporate Risk Management and Hedge Accounting*

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Panaretou, Argyro, Shackleton, Mark B., Taylor, Paul A·2013·Contemporary Accounting Research

Abstract

Motivated by the debate about the economic consequences of mandatory adoption of International Financial Reporting Standards (IFRS), this study investigates the effect of hedge accounting under IFRS on corporate risk management. Using a sample of large UK non-financial firms from 2003 to 2008, we show that the implementation of the new standards reduces the level of asymmetric information faced by derivative users. Specifically, for firms that hedge under IFRS we find that analysts’ forecast error and dispersion are significantly lower. The paper contributes to prior research on the effects of hedge accounting and on the adoption of IFRS.

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Metadata

Authors
Panaretou, A., Shackleton, M. B., & Taylor, P. A.
Affiliations
Lancaster University (GB)
Venue
Contemporary Accounting Research
Publisher
Wiley
Published
2012-03-08
Volume
30
Issue
1
Pages
116-139
ISSN
  • 0823-9150 (ISSN-L)
  • 1911-3846
OpenAlex
W2157162274
Cited by
78
References
60
Citations by year
2026: 4 · 2025: 10 · 2024: 6 · 2023: 5 · 2022: 5 · 2021: 5 · 2020: 8 · 2019: 4 · 2018: 6 · 2017: 2 · 2016: 6 · 2015: 3 · 2014: 8 · 2013: 3 · 2012: 1
FWCI
12.77
Type
journal article
Language
en
Open access
Locations
  • Contemporary Accounting Research (publishedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Accounting › Risk Management in Financial Firms
  • Social Sciences › Business, Management and Accounting › Accounting › Auditing, Earnings Management, Governance
  • Social Sciences › Business, Management and Accounting › Accounting › Accounting Theory and Financial Reporting
Keywords
hedge accounting, IFRS, IFRS adoption, corporate risk management, derivatives, information asymmetry, analyst forecast errors, forecast dispersion, non-financial firms

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