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The cross-Section of German stock returns: New data and new evidence

Author

Listed:
  • Artmann, Sabine
  • Finter, Philipp
  • Kempf, Alexander
  • Koch, Stefan
  • Theissen, Erik
Abstract
This paper serves two purposes. First, we introduce a new data set on the German stock market which is publicly available to all researchers. It comprises factor returns (a market factor, a size factor, a book-to-market factor, and a momentum factor) as well as returns of portfolios which are single- and double-sorted according to market beta, size, book-to-market, and momentum. Second, we use this data set to perform asset pricing tests for the German equity market. Specifically, we test the standard CAPM, the Fama-French three-factor model, and the Carhart four-factor model. Our tests are based on a more comprehensive data set than earlier studies and we investigate the sensitivity of the results to the choice of test assets. Our results indicate that none of the models is able to consistently explain the cross-section of returns. They also demonstrate that the results of asset pricing tests are sensitive to the choice of test assets.

Suggested Citation

  • Artmann, Sabine & Finter, Philipp & Kempf, Alexander & Koch, Stefan & Theissen, Erik, 2010. "The cross-Section of German stock returns: New data and new evidence," CFR Working Papers 10-12, University of Cologne, Centre for Financial Research (CFR).
    • Handle: RePEc:zbw:cfrwps:1012
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    as
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    Cited by:

    1. Auer Benjamin R., 2012. "Lassen sich CAPM, HCAPM und CCAPM durch konsumbasierte zeitvariable Parameterspezifikation rehabilitieren? / Can Time-varying Parameter Specification Based on Consumption Variables Rehabilitate CAPM, ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(5), pages 518-544, October.
    2. 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.
    3. Mager, Ferdinand & Meyer-Fackler, Martin, 2017. "Mergers and acquisitions in Germany: 1981–2010," Global Finance Journal, Elsevier, vol. 34(C), pages 32-42.
    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. Benjamin R. Auer, 2016. "Do Socially Responsible Investment Policies Add or Destroy European Stock Portfolio Value?," Journal of Business Ethics, Springer, vol. 135(2), pages 381-397, May.
    6. Andres, Christian & Fernau, Erik & Theissen, Erik, 2014. "Should I stay or should I go? Former CEOs as monitors," Journal of Corporate Finance, Elsevier, vol. 28(C), pages 26-47.
    7. Martin H. Schmidt, 2017. "Trading strategies based on past returns: evidence from Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(2), pages 201-256, May.
    8. Bohl, Martin T. & Czaja, Marc-Gregor & Kaufmann, Philipp, 2016. "Momentum profits, market cycles, and rebounds: Evidence from Germany," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 139-159.
    9. Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
    10. Auer, Benjamin R. & Schuhmacher, Frank, 2016. "Do socially (ir)responsible investments pay? New evidence from international ESG data," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 51-62.
    11. Gębka, Bartosz & Korczak, Adriana & Korczak, Piotr & Traczykowski, Jędrzej, 2017. "Profitability of insider trading in Europe: A performance evaluation approach," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 66-90.
    12. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    13. Tommy Jehmlich & Friedrich Thießen & Elisabeth Ude, 2017. "Systematische Überrenditen mit Standardstrategien Eine empirische Untersuchung von Value- und Growth-Investmentstrategien am deutschen Aktienmarkt," Chemnitz Economic Papers 013, Department of Economics, Chemnitz University of Technology, revised Aug 2017.
    14. Friedrich-Carl Franz & Tobias Regele, 2016. "Beating the DAX, MDAX, and SDAX: investment strategies in Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(2), pages 161-204, May.
    15. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
    16. Cuthbertson, Keith & Nitzsche, Dirk, 2013. "Performance, stock selection and market timing of the German equity mutual fund industry," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 86-101.
    17. Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
    18. Souček, Michael & Wasserek, Thomas, 2014. "Impact of analyst recommendations on stock returns: Evidence from the German stock market," Discussion Papers 358, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    19. Christian Fieberg & Armin Varmaz & Thorsten Poddig, 2016. "Covariances vs. characteristics: what does explain the cross section of the German stock market returns?," Business Research, Springer;German Academic Association for Business Research, vol. 9(1), pages 27-50, April.

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    More about this item

    Keywords

    Asset Pricing; Fama; French; Carhart; Characteristics; Risk Factors; Value; Size; Momentum; Germany;
    All these keywords.

    JEL classification:

    • 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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