IDEAS home Printed from https://ideas.repec.org/p/grz/wpsses/2021-01.html
   My bibliography  Save this paper

Trading Frictions and the Post-Earnings-Announcement Drift

Author

Listed:
  • Josef Fink

    (Institute of Banking and Finance, University of Graz)

  • Stefan Palan

    (Institute of Banking and Finance, University of Graz)

  • Erik Theissen

    (Finance Area, University of Mannheim)

Abstract

We use laboratory experiments to analyze how the existence of trading frictions (a transaction fee and a ban on short selling and margin buying) affects occurrence and strength of the post-earnings-announcement drift. We find lower trading activity and higher asset prices in the presence of frictions. While the initial price reaction to earnings announcements is weaker, the strength of the PEAD is not materially affected. Trading strategies aimed at exploiting the PEAD are less profitable in the presence of frictions.

Suggested Citation

  • Josef Fink & Stefan Palan & Erik Theissen, 2021. "Trading Frictions and the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2021-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
  • Handle: RePEc:grz:wpsses:2021-01
    as

    Download full text from publisher

    File URL: https://static.uni-graz.at/fileadmin/sowi/Working_Paper/2021-01_Fink_Palan_Theissen.pdf
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hanke, Michael & Huber, Jürgen & Kirchler, Michael & Sutter, Matthias, 2010. "The economic consequences of a Tobin tax--An experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 74(1-2), pages 58-71, May.
    2. Lucy F. Ackert & Narat Charupat & Bryan K. Church & Richard Deaves, 2006. "Margin, Short Selling, And Lotteries In Experimental Asset Markets," Southern Economic Journal, John Wiley & Sons, vol. 73(2), pages 419-436, October.
    3. Leifeld, Philip, 2013. "texreg: Conversion of Statistical Model Output in R to LATEX and HTML Tables," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i08).
    4. Ali, Ashiq & Chen, Xuanjuan & Yao, Tong & Yu, Tong, 2020. "Can mutual funds profit from post earnings announcement drift? The role of competition," Journal of Banking & Finance, Elsevier, vol. 114(C).
    5. Palan, Stefan, 2015. "GIMS—Software for asset market experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 5(C), pages 1-14.
    6. Alessandro Beber & Marco Pagano, 2013. "Short-Selling Bans Around the World: Evidence from the 2007–09 Crisis," Journal of Finance, American Finance Association, vol. 68(1), pages 343-381, February.
    7. Fellner, Gerlinde & Theissen, Erik, 2014. "Short sale constraints, divergence of opinion and asset prices: Evidence from the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 113-127.
    8. 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.
    9. Ke, Bin & Ramalingegowda, Santhosh, 2005. "Do institutional investors exploit the post-earnings announcement drift?," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 25-53, February.
    10. Kenneth S. Chan & Vivian Lei & Filip Vesely, 2013. "Differentiated Assets: An Experimental Study On Bubbles," Economic Inquiry, Western Economic Association International, vol. 51(3), pages 1731-1749, July.
    11. Lei, Vivian & Noussair, Charles & Plott, Charles R., 2002. "Asset Bubbles and Rationality: Additional Evidence from Capital Gains Tax Experiments," Working Papers 1137, California Institute of Technology, Division of the Humanities and Social Sciences.
    12. Powell, Owen, 2016. "Numeraire independence and the measurement of mispricing in experimental asset markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 56-62.
    13. Ernan Haruvy & Charles N. Noussair, 2006. "The Effect of Short Selling on Bubbles and Crashes in Experimental Spot Asset Markets," Journal of Finance, American Finance Association, vol. 61(3), pages 1119-1157, June.
    14. Zhang, Qi & Cai, Charlie X. & Keasey, Kevin, 2013. "Market reaction to earnings news: A unified test of information risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 251-266.
    15. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang, 2013. "Shackling Short Sellers: The 2008 Shorting Ban," Review of Financial Studies, Society for Financial Studies, vol. 26(6), pages 1363-1400.
    16. Ekkehart Boehmer & Juan (Julie) Wu, 2013. "Short Selling and the Price Discovery Process," Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 287-322.
    17. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    18. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    19. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    20. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    21. Ivelina Pavlova & A. M. Parhizgari, 2011. "In search of momentum profits: are they illusory?," Applied Financial Economics, Taylor & Francis Journals, vol. 21(21), pages 1617-1639.
    22. Dennis Y. Chung & Karel Hrazdil, 2011. "Market Efficiency and the Post†Earnings Announcement Drift," Contemporary Accounting Research, John Wiley & Sons, vol. 28(3), pages 926-956, September.
    23. 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.
    24. Jeffrey Ng & Tjomme O. Rusticus & Rodrigo S. Verdi, 2008. "Implications of Transaction Costs for the Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 46(3), pages 661-696, June.
    25. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    26. Zhang, Gaiyan & Zhang, Sanjian, 2013. "Information efficiency of the U.S. credit default swap market: Evidence from earnings surprises," Journal of Financial Stability, Elsevier, vol. 9(4), pages 720-730.
    27. Kirchkamp, Oliver, 2019. "Importing z-Tree data into R," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 1-2.
    28. Robert H. Battalio & Richard R. Mendenhall, 2011. "Post‐Earnings Announcement Drift: Bounds on Profitability for the Marginal Investor," The Financial Review, Eastern Finance Association, vol. 46(4), pages 513-539, November.
    29. Stefan Palan, 2013. "A Review Of Bubbles And Crashes In Experimental Asset Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 570-588, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    2. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    3. Fink, Josef & Palan, Stefan & Theissen, Erik, 2020. "Earnings autocorrelation and the post-earnings-announcement drift: Experimental evidence," CFR Working Papers 20-10, University of Cologne, Centre for Financial Research (CFR).
    4. Josef Fink & Stefan Palan & Erik Theissen, 2020. "Earnings Autocorrelation and the Post-Earnings-AnnouncementDrift – Experimental Evidence," Working Paper Series, Social and Economic Sciences 2020-03, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    5. Duchêne, Sébastien & Guerci, Eric & Hanaki, Nobuyuki & Noussair, Charles N., 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    6. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
    7. Debapriya Jojo Paul & Julia Henker & Sian Owen, 2019. "The aggregate impacts of tournament incentives in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 22(2), pages 441-476, June.
    8. Utz Weitzel & Christoph Huber & Florian Lindner & Jürgen Huber & Julia Rose & Michael Kirchler, 2018. "Bubbles and financial professionals," Working Papers 2018-04, Faculty of Economics and Statistics, University of Innsbruck, revised Oct 2018.
    9. Christoph Huber & Parampreet C. Bindra & Daniel Kleinlercher, 2019. "Design-features of bubble-prone experimental asset markets with a constant FV," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(2), pages 197-209, December.
    10. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    11. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    12. Shyu, Yih-Wen & Chan, Kam C. & Liang, Hsin-Yu, 2018. "Spillovers of price efficiency and informed trading from short sales to margin purchases in absence of uptick rule," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 163-183.
    13. Dirk-Jan Janssen & Sascha Füllbrunn & Utz Weitzel, 2019. "Individual speculative behavior and overpricing in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 653-675, September.
    14. Razen, Michael & Huber, Jürgen & Kirchler, Michael, 2017. "Cash inflow and trading horizon in asset markets," European Economic Review, Elsevier, vol. 92(C), pages 359-384.
    15. Zhengyang Bao & Andreas Leibbrandt & ple391, 2019. "Thar she resurges: The case of assets that lack positive fundamental value," Monash Economics Working Papers 12-19, Monash University, Department of Economics.
    16. Michael Razen & Jürgen Huber & Michael Kirchler, 2016. "Cash Inflow and Trading Horizon in Asset Markets," Working Papers 2016-06, Faculty of Economics and Statistics, University of Innsbruck.
    17. Amos Nadler & Veronika Alexander & Cameron J. Johnson & Paul J. Zak, 2016. "The Bull of Wall Street: Experimental Analysis of Testosterone and Asset Trading," Economics Series Working Papers 806, University of Oxford, Department of Economics.
    18. Fellner, Gerlinde & Theissen, Erik, 2014. "Short sale constraints, divergence of opinion and asset prices: Evidence from the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 113-127.
    19. Corgnet, Brice & Hernán-González, Roberto & Kujal, Praveen, 2020. "On booms that never bust: Ambiguity in experimental asset markets with bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    20. Hauser, Florian & Huber, Jürgen, 2012. "Short-selling constraints as cause for price distortions: An experimental study," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1279-1298.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:grz:wpsses:2021-01. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/fwgraat.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Editorial team (email available below). General contact details of provider: https://edirc.repec.org/data/fwgraat.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.