Data-Snooping, Technical Trading, Rule Performance and the Bootstrap
Abstract�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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Bibliographic InfoPaper provided by Financial Markets Group in its series FMG Discussion Papers with number dp303.
Date of creation: Sep 1998
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Web page: http://www.lse.ac.uk/fmg/
Other versions of this item:
- Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data-Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October.
- Sullivan, Ryan & Timmermann, Allan G & White, Halbert, 1998. "Data-Snooping, Technical Trading Rule Performance and the Bootstrap," CEPR Discussion Papers 1976, C.E.P.R. Discussion Papers.
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
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