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Does the F-score improve the performance of different value investment strategies in Europe?

Author

Listed:
  • Jarno Tikkanen

    (OP Wealth Management)

  • Janne Äijö

    (University of Vaasa)

Abstract

This study examines whether the performance of different value investment strategies can be improved with Piotroski’s (J Account Res 38:1–41, 2000) F-score screening method for the European stock markets. Our aim is to investigate the ability of the screening method to distinguish between winners and losers among several value investment strategies that use different financial ratios to form portfolios, such as B/M, E/M, D/M, and EBITDA/EV ratios. The results of the study provide compelling evidence that the F-score screening method significantly improves the performance of all investigated investment strategies. The results regarding the superior performance of the high F-score portfolios are robust across investment strategies, various performance measures and risk-adjustment methods. The results are useful for individual investors and professional portfolio managers.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:assmgt:v:19:y:2018:i:7:d:10.1057_s41260-018-0098-3
    DOI: 10.1057/s41260-018-0098-3
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Eero J. Pätäri & Timo H. Leivo & Sheraz Ahmed, 2022. "Can the FSCORE add value to anomaly-based portfolios? A reality check in the German stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(3), pages 321-367, September.
    2. Andreas G. Koutoupis & Christos G. Kampouris & Athanasia V. Sakellaridou, 2022. "Can Financial Strength Indicators Form A Profitable Investment Strategy? The Case Of F-Score in Europe," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(3), pages 355-372, September.
    3. 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.
    4. Pilch Bartłomiej, 2023. "Is value investing based on scoring models effective? The verification of F-Score-based strategy in the Polish stock market," Economics and Business Review, Sciendo, vol. 9(4), pages 121-152, December.
    5. Christian Walkshäusl, 2020. "Piotroski’s FSCORE: international evidence," Journal of Asset Management, Palgrave Macmillan, vol. 21(2), pages 106-118, March.
    6. I-Cheng Yeh & Yi-Cheng Liu, 2020. "Discovering optimal weights in weighted-scoring stock-picking models: a mixture design approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-28, December.

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    More about this item

    Keywords

    F-score; Anomalies; Value investment strategy; Portfolio management; Portfolio performance;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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