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The Impact of IAS No. 27 on the Market's Ability to Anticipate Future Earnings

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  • Audrey Wen†Hsin Hsu
  • Hamid Pourjalali

Abstract

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  • Audrey Wen†Hsin Hsu & Hamid Pourjalali, 2015. "The Impact of IAS No. 27 on the Market's Ability to Anticipate Future Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 32(2), pages 789-813, June.
    • Handle: RePEc:wly:coacre:v:32:y:2015:i:2:p:789-813
    DOI: 10.1111/1911-3846.12088
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    Cited by:

    1. De George, Emmanuel T. & Li, Xi & Shivakumar, Lakshmanan, 2016. "A review of the IFRS adoption literature," LSE Research Online Documents on Economics 67599, London School of Economics and Political Science, LSE Library.
    2. Emmanuel T. De George & Xi Li & Lakshmanan Shivakumar, 2016. "A review of the IFRS adoption literature," Review of Accounting Studies, Springer, vol. 21(3), pages 898-1004, September.
    3. Wei Chen & Paul Hribar & Samuel Melessa, 2018. "Incorrect Inferences When Using Residuals as Dependent Variables," Journal of Accounting Research, Wiley Blackwell, vol. 56(3), pages 751-796, June.
    4. Hsu, Audrey Wen-hsin & Liu, Sophia Hsin-Tsai, 2016. "Organizational structure, agency costs, and accrual quality," Journal of Contemporary Accounting and Economics, Elsevier, vol. 12(1), pages 35-60.
    5. Barniv, Ran Ron & Chen, Min & Li, We, 2020. "The market reaction to analyst stock recommendation and earnings forecast consistency: International evidence," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 39(C).
    6. Jong‐Hag Choi & Sunhwa Choi & Linda A. Myers & David Ziebart, 2019. "Financial Statement Comparability and the Informativeness of Stock Prices About Future Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 36(1), pages 389-417, March.
    7. Jia Li & Zhoutianyang Sun, 2023. "Cost stickiness, earnings forecast accuracy, and the informativeness of stock prices about future earnings: evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.

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