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Feasible momentum strategies: Evidence from the Swiss stock market

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  • David Rey
  • Markus Schmid

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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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Suggested Citation

  • 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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    References listed on IDEAS

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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. 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.
    3. 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.
    4. 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.
    5. 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.

    More about this item

    Keywords

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

    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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