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Systematische Überrenditen mit Standardstrategien Eine empirische Untersuchung von Value- und Growth-Investmentstrategien am deutschen Aktienmarkt

Author

Listed:
  • Tommy Jehmlich

    (Chemnitz University of Technology, Department of Economics, Chair for Finance and Banking Management)

  • Friedrich Thießen

    (Chemnitz University of Technology, Department of Economics, Chair for Finance and Banking Management)

  • Elisabeth Ude

    (Chemnitz University of Technology, Department of Economics, Chair for Finance and Banking Management)

Abstract

This study examines chances to achieve excess returns at the German stock market since 2002. We use well-known value investing (P/E, P/B, P/S) and growth investing strategies (profit margin, PEG, RSI). If such momentum strategies are successful they contradict market efficiency. Markets are considered to be close to efficient. However, momentum strategies are used and show positive results. In this study we used momentum strategies following simple rules. There is a single revision of the portfolio every year. The portfolio could be held between one to five years. Thereby, transaction costs are extremely low – in a narrower as well as in a broader sense (i. e. costs for trading and decision making costs). We examined German stocks between 2001 and 2016 which were listed in the four big German stock indices (DAX, MDAX, SDAX, TecDAX). P/B and P/S optimized portfolios show an obvious excess return of up to 10 % p. a. over the entire considered period, so we could confirm the results of ARTMANN ET AL. (2012). However, we received the most significant excess return with the one year portfolio of relative strength. As a second step, we combined the successful value strategy of P/B investing with sovereign bonds to simulate a balanced portfolio. The excess return is high while at the same time reducing the risk compared to the simple P/B strategy. In contrast to results of some other research, momentum strategies are not always successful. Some of them achieve negative excess returns. But all unsuccessful strategies in this survey are based on the P/E ratio. Therefore other research should figure out if the widely used R/E ratio is a successful trading strategy at all.

Suggested Citation

  • 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.
  • Handle: RePEc:tch:wpaper:cep013
    as

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    File URL: https://www.tu-chemnitz.de/wirtschaft/vwl1/RePEc/download/tch/wpaper/CEP013_170810_Investmentstile_final.pdf
    File Function: Revised version, 2017
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    References listed on IDEAS

    as
    1. La Porta, Rafael, et al, 1997. "Good News for Value Stocks: Further Evidence on Market Efficiency," Journal of Finance, American Finance Association, vol. 52(2), pages 859-874, June.
    2. Sabine Artmann & Philipp Finter & Alexander Kempf & Stefan Koch & Erik Theissen, 2012. "The Cross-Section of German Stock Returns: New Data and New Evidence," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 64(1), pages 20-43, January.
    3. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Momentum trading; value investing; growth investing; market efficiency;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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