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Feasible momentum strategies: Evidence from the Swiss stock market

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  • David Rey
  • Markus Schmid

Abstract

While there is little controversy on the profitability of momentum strategies, their implementation is afflicted with many difficulties. Most important, chasing momentum can generate high turnover. Though there are already several attempts to make momentum strategies less expensive with respect to transaction costs, we go a step further in the simplification of momentum strategies. By restricting our sample to Switzerland's largest blue-chip stocks and choosing only one winner and one loser stock, we find average returns to our momentum arbitrage portfolios of up to 44% p.a. depending on the formation and holding periods. While unconditional risk models are at odds with momentum profits, stock market predictability and time-varying expected returns explain a large part of the momentum payoffs, including the post-holding period behavior of the winner and loser stocks (overreaction and subsequent price correction). We also report interesting patterns of a number of stock characteristics over the (pre-)formation and (post-)holding periods.
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  • David Rey & Markus Schmid, 2007. "Feasible momentum strategies: Evidence from the Swiss stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 21(3), pages 325-352, September.
  • Handle: RePEc:kap:fmktpm:v:21:y:2007:i:3:p:325-352
    DOI: 10.1007/s11408-007-0051-9
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    Cited by:

    1. Bryan Foltice & Thomas Langer, 2015. "Profitable momentum trading strategies for individual investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(2), pages 85-113, May.
    2. Kobana Abukari & Isaac Otchere, 2020. "Dominance of hybrid contratum strategies over momentum and contrarian strategies: half a century of evidence," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(4), pages 471-505, December.
    3. Tim Herberger & Daniel Kohlert & Andreas Oehler, 2011. "Momentum and industry-dependence: An analysis of the Swiss stock market," Journal of Asset Management, Palgrave Macmillan, vol. 11(6), pages 391-400, February.
    4. Ranjeeta Sadhwani & Mujeeb U Rehman Bhayo, 2019. "Momentum and Disposition Effect in the stock market of USA," Proceedings of Economics and Finance Conferences 8911340, International Institute of Social and Economic Sciences.
    5. Stephan Kessler & Bernd Scherer, 2013. "Momentum and macroeconomic state variables," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(4), pages 335-363, December.
    6. Laura Andreu & Laurens Swinkels & Liam Tjong-A-Tjoe, 2013. "Can exchange traded funds be used to exploit industry and country momentum?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(2), pages 127-148, June.
    7. Supriya Maheshwari & Raj S. Dhankar, 2018. "Market State and Investment Strategies: Evidence from the Indian Stock Market," IIM Kozhikode Society & Management Review, , vol. 7(2), pages 154-170, July.
    8. Bekiros, Stelios & Jlassi, Mouna & Naoui, Kamel & Uddin, Gazi Salah, 2018. "Risk perception in financial markets: On the flip side," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 184-206.
    9. Hans-Peter Burghof & Felix Prothmann, 2011. "The 52-week high strategy and information uncertainty," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(4), pages 345-378, December.
    10. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla Ismath & Masih, A. Mansur. M., 2015. "Combining momentum, value, and quality for the Islamic equity portfolio: Multi-style rotation strategies using augmented Black Litterman factor model," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 205-232.
    11. Paulo Ferreira, 2020. "Dynamic long-range dependences in the Swiss stock market," Empirical Economics, Springer, vol. 58(4), pages 1541-1573, April.
    12. Alexander Franck & Andreas Walter & Johannes Witt, 2013. "Momentum strategies of German mutual funds," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(3), pages 307-332, September.
    13. Bohumil Stádník & Algita Miečinskienė, 2015. "Complex Model of Market Price Development and its Simulation," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(4), pages 786-807, August.
    14. Manuel Ammann & Marcel Moellenbeck & Markus M Schmid, 2011. "Feasible momentum strategies in the US stock market," Journal of Asset Management, Palgrave Macmillan, vol. 11(6), pages 362-374, February.
    15. 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.
    16. Nandkumar Nayar & Ajai Singh & Wen Yu, 2011. "Unraveling a puzzle: the case of value line timeliness rank upgrades," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(4), pages 379-409, December.
    17. 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.
    18. Nicholas Rueilin Lee, 2012. "Firm ratings, momentum strategies, and crises: evidence from the US and Taiwanese stock markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(4), pages 449-468, December.
    19. Krauss, Christopher & Beerstecher, Daniel & Krüger, Tom, 2015. "Feasible earnings momentum in the U.S. stock market: An investor's perspective," FAU Discussion Papers in Economics 12/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.

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    More about this item

    Keywords

    Momentum strategies; Large-caps; Event study analysis; Stock market predictability; Under- and overreaction; G11; G12;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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