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Common risk factors in international stock markets

Author

Listed:
  • Peter S. Schmidt

    (University of Geneva)

  • Urs von Arx

    (Valex Capital AG)

  • Andreas Schrimpf

    (Bank for International Settlements)

  • Alexander F. Wagner

    (University of Zurich
    CEPR
    ECGI
    SFI)

  • Andreas Ziegler

    (University of Kassel)

Abstract

A major obstacle for research in international asset pricing and corporate finance has been a lack of reliable and publicly available data on international common risk factors and portfolios. To address this gap, we provide a step-by-step description of how appropriately screened data from Thomson Reuters Datastream and Thomson Reuters Worldscope can be used to construct high-quality systematic risk factors. We provide common risk factors for 23 countries across the globe. To demonstrate the use of this dataset, we present evidence of an “extreme” size premium in a large number of countries. These premia, however, are often not realizable or at least significantly eroded due to transaction costs.

Suggested Citation

  • Peter S. Schmidt & Urs von Arx & Andreas Schrimpf & Alexander F. Wagner & Andreas Ziegler, 2019. "Common risk factors in international stock markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(3), pages 213-241, September.
    • Handle: RePEc:kap:fmktpm:v:33:y:2019:i:3:d:10.1007_s11408-019-00334-3
    DOI: 10.1007/s11408-019-00334-3
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    References listed on IDEAS

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    Cited by:

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    2. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    3. Hajiyev, Aghamehman & Keiber, Karl Ludwig & Luczak, Adalbert, 2024. "Tug of war with noise traders? Evidence from the G7 stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 234-243.
    4. Philipp Dirkx & Franziska J. Peter, 2020. "The Fama-French Five-Factor Model Plus Momentum: Evidence for the German Market," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(4), pages 661-684, October.
    5. Haimann, Michael & Kaserer, Christoph & Ljubicic, Kristian, 2023. "Cui bono? Large-scale evidence on the impact of COVID-19 policy measures on listed firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 228-243.
    6. Hoang, Khoa & Huang, Ronghong & Truong, Helen, 2023. "Resurrecting the market factor: A case of data mining across international markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    7. Branger, Nicole & Flacke, René Marian & Meyerhof, Paul & Windmüller, Steffen, 2023. "Stock returns in global value chains: The role of upstreamness and downstreamness," Journal of Empirical Finance, Elsevier, vol. 74(C).
    8. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
    9. Danial Hemmings & Lynn Hodgkinson & Gwion Williams, 2020. "It's OK to pay well, if you write well: The effects of remuneration disclosure readability," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(5-6), pages 547-586, May.
    10. Chen, Zilin & Da, Zhi & Huang, Dashan & Wang, Liyao, 2023. "Presidential economic approval rating and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 147(1), pages 106-131.
    11. Long, Huaigang & Chiah, Mardy & Cakici, Nusret & Zaremba, Adam & Bilgin, Mehmet Huseyin, 2024. "ESG investing in good and bad times: An international study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    12. Daniel Hofmann & Karl Ludwig Keiber, 2021. "Seasonalities in the German stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(2), pages 151-192, June.
    13. Landis, Conrad & Skouras, Spyros, 2021. "Guidelines for asset pricing research using international equity data from Thomson Reuters Datastream," Journal of Banking & Finance, Elsevier, vol. 130(C).
    14. Yigit Atilgan & K. Ozgur Demirtas & A. Doruk Gunaydin & Imra Kirli, 2023. "Average skewness in global equity markets," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 245-271, June.
    15. Atilgan, Yigit & Demirtas, K. Ozgur & Gunaydin, A. Doruk & Kirli, Imra, 2023. "Mood seasonality around the globe," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
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    17. Huber, Daniel & Jacobs, Heiko & Müller, Sebastian & Preissler, Fabian, 2023. "International factor models," Journal of Banking & Finance, Elsevier, vol. 150(C).

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    More about this item

    Keywords

    Risk factors; Value; Size; Momentum; Profitability; Investment; International equity markets; Asset pricing anomalies; Trading costs;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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