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Data-Snooping, Technical Trading Rule Performance and the Bootstrap Author info | Abstract | Publisher info | Download info | Related research | Statistics Sullivan, Ryan
Timmermann, Allan G
White, Halbert
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In this paper we utilize White's Reality Check bootstrap methodology (White (1997)) to evaluate simple technical trading rules while quantifying the data-snooping bias and fully adjusting for its effect in the context of the full universe from which the trading rules were drawn. Hence, for the first time, the paper presents a comprehensive test of performance 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 Jones Industrial Average and determine the effects of data-snooping.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
1976.
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Date of creation: Sep 1998Date of revision:
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Keywords: bootstrap methods data-snooping Financial Performance Technical Trading Rules Other versions of this item:
Article Paper Allan Timmermann & Halbert White & Ryan Sullivan, 1998.
"Data-Snooping, Technical Trading, Rule Performance and the Bootstrap ,"
FMG Discussion Papers
dp303, Financial Markets Group.
[Downloadable!] (restricted) Ryan Sullivan & Allan Timmermann & Halbert White, 1997.
"Data-Snooping, Technical Trading Rule Performance, and the Bootstrap ,"
University of California at San Diego, Economics Working Paper Series
97-31, Department of Economics, UC San Diego.
[Downloadable!] Find related papers by JEL classification: G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
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