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Market reaction to regulatory policy changes in financial statements filings: evidence from Turkey

Author

Listed:
  • Mustafa K. Yılmaz

    (Ibn Haldun University)

  • Mine Aksoy

    (Yalova University)

  • Tankut T. Çelik

Abstract

Financial reporting has a vital impact on investors for acquiring and integrating value-relevant information in making or revising investment decisions. This article investigates how changes in regulatory disclosure policy for financial reporting influence market reaction for the companies listed on Borsa Istanbul over the period 2003–2017. We elaborate our findings in the context of investor attention and trading opportunities, resulting in three distinct policies. The results reveal that small-cap firms are more exposed to abnormalities than large-cap firms for positive news before and after the public disclosure platform (PDP). Further, the number of financial statements filings made on the same day affects the abnormal returns before the PDP (from 2003 to June 2009) and, after the PDP (from 2009 to 2013), where the companies are allowed to release them intra-day. Additionally, the response of investors to financial statements filings on Friday is quite different than other days of the week before the PDP and after the PDP (from 2013 to 2017), where the companies are required to make their release only after the market closure. Finally, as a search-facilitating technology, the adaptation of eXtensible Business Reporting Language (XBRL) does not translate into an improvement on market reaction. These findings support the validation of limited investor attention and post-announcement drift in the Turkish capital market.

Suggested Citation

  • Mustafa K. Yılmaz & Mine Aksoy & Tankut T. Çelik, 2020. "Market reaction to regulatory policy changes in financial statements filings: evidence from Turkey," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(4), pages 567-605, December.
    • Handle: RePEc:spr:eurase:v:10:y:2020:i:4:d:10.1007_s40822-020-00142-5
    DOI: 10.1007/s40822-020-00142-5
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    as
    1. Ball, Ray & Bartov, Eli, 1996. "How naive is the stock market's use of earnings information?," Journal of Accounting and Economics, Elsevier, vol. 21(3), pages 319-337, June.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    4. Goh, Jihoon & Jeon, Byoung-Hyun, 2017. "Post-earnings-announcement-drift and 52-week high: Evidence from Korea," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 150-159.
    5. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    6. Allan G. Timmermann, 1993. "How Learning in Financial Markets Generates Excess Volatility and Predictability in Stock Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 1135-1145.
    7. Iqbal, Javed & Farooqi, Faraz Ahmed, 2011. "Stock price reaction to earnings announcement: the case of an emerging market," MPRA Paper 30865, University Library of Munich, Germany, revised 10 May 2011.
    8. Gregory S. Miller & Douglas J. Skinner, 2015. "The Evolving Disclosure Landscape: How Changes in Technology, the Media, and Capital Markets Are Affecting Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 221-239, May.
    9. Elizabeth Blankespoor & Ed Dehaan & John Wertz & Christina Zhu, 2019. "Why Do Individual Investors Disregard Accounting Information? The Roles of Information Awareness and Acquisition Costs," Journal of Accounting Research, Wiley Blackwell, vol. 57(1), pages 53-84, March.
    10. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    11. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    12. Joy, Om & Litzenberger, Rh & Mcenally, Rw, 1977. "Adjustment Of Stock-Prices To Announcements Of Unanticipated Changes In Quarterly Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 15(2), pages 207-225.
    13. William M. Cready & Umit G. Gurun, 2010. "Aggregate Market Reaction to Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 48(2), pages 289-334, May.
    14. Christian Leuz, 2018. "Evidence-based policymaking: promise, challenges and opportunities for accounting and financial markets research," Accounting and Business Research, Taylor & Francis Journals, vol. 48(5), pages 582-608, July.
    15. Zhang, Yuan, 2008. "Analyst responsiveness and the post-earnings-announcement drift," Journal of Accounting and Economics, Elsevier, vol. 46(1), pages 201-215, September.
    16. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    17. Henk Berkman & Cameron Truong, 2009. "Event Day 0? After‐Hours Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 47(1), pages 71-103, March.
    18. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    19. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    20. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    21. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    22. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    23. Carlos Alegria & George McKenzie & Simon Wolfe, 2009. "Earnings announcements by UK companies: Evidence of extreme events?," The European Journal of Finance, Taylor & Francis Journals, vol. 15(2), pages 137-156.
    24. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    25. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    26. Jeffrey T. Doyle & Russell J. Lundholm & Mark T. Soliman, 2006. "The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 849-887, December.
    27. Kross, W & Schroeder, Da, 1984. "An Empirical-Investigation Of The Effect Of Quarterly Earnings Announcement Timing On Stock Returns," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 153-176.
    28. Rendleman, Richard Jr. & Jones, Charles P. & Latane, Henry A., 1982. "Empirical anomalies based on unexpected earnings and the importance of risk adjustments," Journal of Financial Economics, Elsevier, vol. 10(3), pages 269-287, November.
    29. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    30. Pavel Savor & Mungo Wilson, 2016. "Earnings Announcements and Systematic Risk," Journal of Finance, American Finance Association, vol. 71(1), pages 83-138, February.
    31. Ray Ball & Lakshmanan Shivakumar, 2008. "How Much New Information Is There in Earnings?," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 975-1016, December.
    32. deHaan, Ed & Shevlin, Terry & Thornock, Jacob, 2015. "Market (in)attention and the strategic scheduling and timing of earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 36-55.
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