Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap
- 1 October 1999
- journal article
- research article
- Published by Wiley in The Journal of Finance
- Vol. 54 (5) , 1647-1691
- https://doi.org/10.1111/0022-1082.00163
Abstract
In this paper we utilize White's Reality Check bootstrap methodology (White (1999)) 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.Keywords
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This publication has 16 references indexed in Scilit:
- Profits from Technical Trading RulesSSRN Electronic Journal, 1998
- Asymptotic Inference about Predictive AbilityEconometrica, 1996
- Comparing Predictive AccuracyJournal of Business & Economic Statistics, 1995
- The Stationary BootstrapJournal of the American Statistical Association, 1994
- Trading futures using a channel rule: A study of the predictive power of technical analysis with currency examplesJournal of Futures Markets, 1994
- The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approachJournal of International Money and Finance, 1993
- The use of technical analysis in the foreign exchange marketJournal of International Money and Finance, 1992
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979
- Filter Rules and Stock-Market TradingThe Journal of Business, 1966
- Can Stock Market Forecasters Forecast?Econometrica, 1933