Data-Snooping, Technical Trading, Rule Performance and the Bootstrap
In this paper we utilize Whites Reality Check bootstrap methodology (White (1997)) to evaluate simple technical trading rules while quantifying the data-snooping bias and fully adjusting for its effect inthe context of the full universe form which the trading rules are drawn. Henxe, for the first time, the paper presents a comrehensive test of perfomance across all technical trading rules examined. We consider the study of brock, Lakonishok and LeBaron (1992), expand their universe of 26 trading rules, apply the rules to 100 years of daily data on the Dow Jone Industrial Average, and determine the effects of data-snooping.
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- John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993.
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- Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. " Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
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