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Bloated balance sheets and stock returns: Asymmetries between profit and loss firms

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  • Georgios A. Papanastasopoulos

Abstract

We study return predictability attributable to bloated balance sheets in European capital markets and find that the NOA anomaly is more severe across loss firms and is significantly attenuated across profit firms. A hedge trading strategy on NOA for loss firms generate large raw and abnormal returns that are almost three times higher than the respective returns for profit firms. Our evidence is more likely to be consistent with the hypothesis that low NOA firms may have superior returns relative to high NOA firms due to investors’ inability to make full use of information reported in financial statements.

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  • Georgios A. Papanastasopoulos, 2019. "Bloated balance sheets and stock returns: Asymmetries between profit and loss firms," Economics and Business Letters, Oviedo University Press, vol. 8(1), pages 53-61.
    • Handle: RePEc:ove:journl:aid:12868
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/12868
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    1. Fama, Eugene F. & French, Kenneth R., 2017. "International tests of a five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 123(3), pages 441-463.
    2. Pinnuck, Matt & Shekhar, Chander, 2013. "The profit versus loss heuristic and firm financing decisions," Accounting, Organizations and Society, Elsevier, vol. 38(6), pages 420-439.
    3. Hirshleifer, David & Kewei Hou & Teoh, Siew Hong & Yinglei Zhang, 2004. "Do investors overvalue firms with bloated balance sheets?," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 297-331, December.
    4. Fama, Eugene F. & French, Kenneth R., 2012. "Size, value, and momentum in international stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 457-472.
    5. Grobys, Klaus, 2014. "Momentum in global equity markets in times of troubles: Does the economic state matter?," Economics Letters, Elsevier, vol. 123(1), pages 100-103.
    6. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    7. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    8. Panos N. Patatoukas, 2016. "Asymmetrically Timely Loss Recognition and the Accrual Anomaly. Discussion of Konstantinidi et al," Abacus, Accounting Foundation, University of Sydney, vol. 52(1), pages 166-175, March.
    9. Papanastasopoulos, Georgios & Thomakos, Dimitrios, 2017. "Managerial discretion, net operating assets and the cross-section of stock returns: Evidence from European countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 188-210.
    10. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    11. Louis K. C. Chan & Stephen G. Dimmock & Josef Lakonishok, 2009. "Benchmarking Money Manager Performance: Issues and Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4553-4599, November.
    12. David Hirshleifer & Kewei Hou & Siew Hong Teoh, 2012. "The Accrual Anomaly: Risk or Mispricing?," Management Science, INFORMS, vol. 58(2), pages 320-335, February.
    13. Jin (Ginger) Wu & Lu Zhang & X. Frank Zhang, 2010. "The q‐Theory Approach to Understanding the Accrual Anomaly," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 177-223, March.
    14. Schleicher, Thomas & Hussainey, Khaled & Walker, Martin, 2007. "Loss firms’ annual report narratives and share price anticipation of earnings," The British Accounting Review, Elsevier, vol. 39(2), pages 153-171.
    15. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    16. Basu, Sudipta, 1997. "The conservatism principle and the asymmetric timeliness of earnings," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 3-37, December.
    17. Ozgur S. Ince & R. Burt Porter, 2006. "Individual Equity Return Data From Thomson Datastream: Handle With Care!," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(4), pages 463-479, December.
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