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Accounting Accruals and Information Asymmetry in Europe

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  • Antonio Cerqueira
  • Claudia Pereira

Abstract

We investigate whether the positive relation between accounting accruals and information asymmetry documented for U.S. stock markets also holds for European markets, considered as a whole and at the country level. This research is relevant because this relation is likely to be affected by differences in accounting standards used by companies for financial reporting, in the traditional use of the banking system or capital markets for firm financing, in legal systems and cultural environment. We find that in European stock markets discretionary accruals are positively related with the Corwin and Schultz high-low spread estimator used as a proxy for information asymmetry. Our results suggest that the earnings management component of accruals outweighs the informational component, but the significance of the relation varies across countries. Further, such association tends to be stronger for firms with the highest levels of positive discretionary accruals. Consistent with the evidence provided by the authors, our results also suggest that the high-low spread estimator is more efficient than the closing bid-ask spread when analysing the impact of information quality on information asymmetry.

Suggested Citation

  • Antonio Cerqueira & Claudia Pereira, 2015. "Accounting Accruals and Information Asymmetry in Europe," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(6), pages 638-661.
    • Handle: RePEc:prg:jnlpep:v:2015:y:2015:i:6:id:528:p:638-661
    DOI: 10.18267/j.pep.528
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    1. Sudarshan Jayaraman, 2008. "Earnings Volatility, Cash Flow Volatility, and Informed Trading," Journal of Accounting Research, Wiley Blackwell, vol. 46(4), pages 809-851, September.
    2. Huang, Roger D. & Stoll, Hans R., 1996. "Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE," Journal of Financial Economics, Elsevier, vol. 41(3), pages 313-357, July.
    3. Mohanram, Partha & Rajgopal, Shiva, 2009. "Is PIN priced risk?," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 226-243, June.
    4. Dechow, Patricia & Ge, Weili & Schrand, Catherine, 2010. "Understanding earnings quality: A review of the proxies, their determinants and their consequences," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 344-401, December.
    5. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    6. Jones, Jj, 1991. "Earnings Management During Import Relief Investigations," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 193-228.
    7. Christopher S. Armstrong & John E. Core & Daniel J. Taylor & Robert E. Verrecchia, 2011. "When Does Information Asymmetry Affect the Cost of Capital?," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 1-40, March.
    8. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    9. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    10. Francis, Jennifer & LaFond, Ryan & Olsson, Per & Schipper, Katherine, 2005. "The market pricing of accruals quality," Journal of Accounting and Economics, Elsevier, vol. 39(2), pages 295-327, June.
    11. Kothari, S.P. & Leone, Andrew J. & Wasley, Charles E., 2005. "Performance matched discretionary accrual measures," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 163-197, February.
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    Cited by:

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    2. Antonio Cerqueira & Claudia Pereira, 2017. "Accruals quality, managers’ incentives and stock market reaction: evidence from Europe," Applied Economics, Taylor & Francis Journals, vol. 49(16), pages 1606-1626, April.

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    More about this item

    Keywords

    Information quality; information asymmetry; high-low spread estimator; discretionary accruals;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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