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Market Ecologies: The Interaction and Profitability of Technical Trading Strategies

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Listed:
  • Antony Jackson
  • Daniel Ladley

Abstract

Technical trading strategies make profits by identifying and exploiting patterns in market prices—patterns generated by the interaction of market participants. This paper examines model markets composed of traders using a range of trading rules, and identifies the ecologies under which different strategies are profitable and persist. We show that the presence of technical traders may be beneficial, in some cases reducing volatility and increasing price efficiency. In particular, contrarian traders who base their decisions on high frequency data have the largest positive effect. It is also found that if technical traders condition their actions using ‘real time’ information, they partially emulate arbitrageurs and make positive profits. If this is not the case, trend following traders may make higher returns.

Suggested Citation

  • Antony Jackson & Daniel Ladley, 2013. "Market Ecologies: The Interaction and Profitability of Technical Trading Strategies," Discussion Papers in Economics 13/02, Division of Economics, School of Business, University of Leicester.
    • Handle: RePEc:lec:leecon:13/02
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    File URL: https://www.le.ac.uk/economics/research/RePEc/lec/leecon/dp13-02.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Technical Trading Rules; Artificial Market; Market Ecology;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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