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The Accrual Anomaly Under Different Accounting Standards – Lessons Learned from the German Experiment

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  • Christoph Kaserer
  • Carmen Klingler

Abstract

Several studies document that investors systematically overreact to accrual‐based accounting information. We address the question to what extent this accrual anomaly is related to different accounting standards. We provide empirical evidence that the accrual anomaly is also present in Germany. However, this anomaly seems mainly to be driven by firms presenting their financial statements under IFRS or US‐GAAP, while the anomaly is unlikely to exist for those firms complying with German GAAP. It is argued that introducing true and fair view accounting, like IFRS, that relies on difficult‐to‐verify information, may not be suitable to improve accounting information quality in the context of a weak corporate governance system.

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  • Christoph Kaserer & Carmen Klingler, 2008. "The Accrual Anomaly Under Different Accounting Standards – Lessons Learned from the German Experiment," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 837-859, September.
    • Handle: RePEc:bla:jbfnac:v:35:y:2008:i:7-8:p:837-859
    DOI: 10.1111/j.1468-5957.2008.02089.x
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    References listed on IDEAS

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    Cited by:

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    2. Eero J. Pätäri & Timo H. Leivo & Sheraz Ahmed, 2022. "Can the FSCORE add value to anomaly-based portfolios? A reality check in the German stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(3), pages 321-367, September.
    3. Kaserer Christoph & Hanauer Matthias X., 2017. "25 Jahre Fama-French-Modell: Erklärungsgehalt, Anomalien und praktische Implikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 18(2), pages 98-116, June.
    4. Günther, Nina & Gegenfurtner, Bernhard & Kaserer, Christoph & Achleitner, Ann-Kristin, 2009. "International financial reporting standards and earnings Quality: the myth of voluntary vs. mandatory adoption," CEFS Working Paper Series 2009-09, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    5. Kai Du & Steven Huddart, 2020. "Economic persistence, earnings informativeness, and stock return regularities," Review of Accounting Studies, Springer, vol. 25(4), pages 1263-1300, December.
    6. Jawad Mohammad & Attiya Yasmin Javid, 2015. "An Analysis of Accrual Anomaly in Case of Karachi Stock Exchange," PIDE-Working Papers 2015:116, Pakistan Institute of Development Economics.
    7. Carlos Omar Trejo-Pech & Magdy Noguera & Angel Samaniego-Alcantar & Richard N. Weldon, 2012. "The Relationship Between Accruals, Earnings, And Cash Flows: Evidence From Latin America," Accounting & Taxation, The Institute for Business and Finance Research, vol. 4(1), pages 95-107.
    8. Kim, Jung Hoon & Lin, Steve, 2019. "Accrual anomaly and mandatory adoption of IFRS: Evidence from Germany," Advances in accounting, Elsevier, vol. 47(C).
    9. Schrödl, Nicolas & Klein, Christian, 2009. "Effects of the IFRS introduction: perspective from an early stadium to the time after the mandatory adoption," Hohenheimer Schriften: Rechnungswesen - Steuern - Wirtschaftsprüfung 2009-1, University of Hohenheim, Department of Business Administration.
    10. Galimberti, Jaqueson Kingeski & Cupertino, César Medeiros, 2009. "Explaining earnings persistence: a threshold autoregressive panel unit root approach," MPRA Paper 14237, University Library of Munich, Germany.
    11. Cordeiro Moreira, Jeíce Catrine & Lima, Gerlando A.S.F. & Góis, Alan Diógenes, 2019. "Effects of institutional factors on the accruals anomaly in Latin America," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 36(C), pages 1-1.
    12. Gegenfurtner, Bernhard & Ampenberger, Markus & Kaserer, Christoph, 2009. "The impact of managerial ownership, monitoring and accounting standard choice on accrual mispricing," CEFS Working Paper Series 2009-02, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    13. Diana MURESAN, 2015. "The Mishkin Test: An Analysis Of Model Extensions," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 7, pages 393-400, April.

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