IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v21y2020i2d10.1057_s41260-020-00157-2.html
   My bibliography  Save this article

Piotroski’s FSCORE: international evidence

Author

Listed:
  • Christian Walkshäusl

    (University of Regensburg)

Abstract

Almost 20 years after its publication, Piotroski’s (J Account Res 38:1–41, 2000) FSCORE, the composite measure of the firm’s fundamental strength remains a strong predictor of subsequent stock returns and future profitability in international markets over the 2000–2018 period. Across developed non-US countries as well as emerging countries, high-FSCORE firms significantly outperform low-FSCORE firms by about 10% per year. Furthermore, FSCORE preserves its return-predictive power in all size segments after controlling for established cross-sectional return determinants, such as firm size, book-to-market, momentum, operating profitability, and investment. The findings are consistent with the view that fundamental information is only gradually incorporated into prices by investors.

Suggested Citation

  • Christian Walkshäusl, 2020. "Piotroski’s FSCORE: international evidence," Journal of Asset Management, Palgrave Macmillan, vol. 21(2), pages 106-118, March.
    • Handle: RePEc:pal:assmgt:v:21:y:2020:i:2:d:10.1057_s41260-020-00157-2
    DOI: 10.1057/s41260-020-00157-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41260-020-00157-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41260-020-00157-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    3. Allaudeen Hameed & Randall Morck & Jianfeng Shen & Bernard Yeung, 2015. "Information, Analysts, and Stock Return Comovement," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3153-3187.
    4. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    5. Anwer S. Ahmed & Irfan Safdar, 2018. "Dissecting stock price momentum using financial statement analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 3-43, November.
    6. H. J. Turtle & Kainan Wang, 2017. "The Value In Fundamental Accounting Information," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 40(1), pages 113-140, March.
    7. Berk, Jonathan B. & van Binsbergen, Jules H., 2016. "Assessing asset pricing models using revealed preference," Journal of Financial Economics, Elsevier, vol. 119(1), pages 1-23.
    8. 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.
    9. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    10. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    11. Joseph D. Piotroski & Eric C. So, 2012. "Identifying Expectation Errors in Value/Glamour Strategies: A Fundamental Analysis Approach," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2841-2875.
    12. 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.
    13. Ng, Chi Cheong Allen & Shen, Jianfu, 2016. "Screen winners from losers using simple fundamental analysis in the Pacific-Basin stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 159-177.
    14. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    15. Bradshaw, Mark T. & Richardson, Scott A. & Sloan, Richard G., 2006. "The relation between corporate financing activities, analysts' forecasts and stock returns," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 53-85, October.
    16. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    17. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," The Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    18. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    19. Nicole Y. Choi & Richard W. Sias, 2012. "Why Does Financial Strength Forecast Stock Returns? Evidence from Subsequent Demand by Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1550-1587.
    20. Fama, Eugene F & French, Kenneth R, 1995. "Size and Book-to-Market Factors in Earnings and Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 131-155, March.
    21. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    22. Jarno Tikkanen & Janne Äijö, 2018. "Does the F-score improve the performance of different value investment strategies in Europe?," Journal of Asset Management, Palgrave Macmillan, vol. 19(7), pages 495-506, December.
    23. Fama, Eugene F. & French, Kenneth R., 2006. "Profitability, investment and average returns," Journal of Financial Economics, Elsevier, vol. 82(3), pages 491-518, December.
    24. Debarati Bhattacharya & Wei-Hsien Li & Gokhan Sonaer, 2017. "Has momentum lost its momentum?," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 191-218, January.
    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. Memis, Halil I. & Wessels, Ulrich, 2024. "Dissecting value-growth strategies conditioned on expectation errors," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 155-163.
    2. Mazouz, Khelifa & Wu, Yuliang, 2022. "Why do firm fundamentals predict returns? Evidence from short selling activity," International Review of Financial Analysis, Elsevier, vol. 79(C).
    3. Walkshäusl, Christian, 2015. "Equity financing activities and European value-growth returns," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 27-40.
    4. Hou, Kewei & Xue, Chen & Zhang, Lu, 2017. "Replicating Anomalies," Working Paper Series 2017-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    5. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, July.
    6. Köstlmeier, Siegfried, 2024. "Pricing and mispricing of accounting fundamentals: Global evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 71-87.
    7. Zhu, Zhaobo & Ding, Wenjie & Jin, Yi & Shen, Dehua, 2023. "Dissecting the idiosyncratic volatility puzzle: A fundamental analysis approach," Research in International Business and Finance, Elsevier, vol. 66(C).
    8. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    9. Ng, Chi Cheong Allen & Shen, Jianfu, 2016. "Screen winners from losers using simple fundamental analysis in the Pacific-Basin stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 159-177.
    10. Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth & Chen, Min, 2020. "Limited investor attention, relative fundamental strength, and the cross-section of stock returns," The British Accounting Review, Elsevier, vol. 52(4).
    11. Huang, Alan Guoming & Sun, Kevin Jialin, 2019. "Equity financing restrictions and the asset growth effect: International vs. Asian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    12. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    13. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2020. "Firm profitability and expected stock returns: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 51(C).
    14. Poon, Percy & Yao, Tong & Zhang, Andrew (Jianzhong), 2022. "The alphas of beta and idiosyncratic volatility," Journal of Financial Markets, Elsevier, vol. 61(C).
    15. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
    16. Hollstein, Fabian, 2022. "The world of anomalies: Smaller than we think?," Journal of International Money and Finance, Elsevier, vol. 129(C).
    17. Wu, Yuliang & Mazouz, Khelifa, 2016. "Long-term industry reversals," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 236-250.
    18. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    19. Zhaobo Zhu & Licheng Sun & Min Chen, 2023. "Fundamental strength and the 52-week high anchoring effect," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1515-1542, May.
    20. Wang, Feifei & Yan, Xuemin Sterling, 2021. "Downside risk and the performance of volatility-managed portfolios," Journal of Banking & Finance, Elsevier, vol. 131(C).

    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:pal:assmgt:v:21:y:2020:i:2:d:10.1057_s41260-020-00157-2. See general information about how to correct material in RePEc.

    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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.