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Reexamining the Profitability of Technical Analysis with Data Snooping Checks

Reexamining the Profitability of Technical Analysis with Data Snooping Checks In this article we reexamine the profitability of technical analysis using White’s reality check and Hansen’s SPA test that correct the data snooping bias. Compared to previous studies, we study a more complete “universe” of trading techniques, including not only simple rules but also complex trading strategies, and we test the profitability of these rules and strategies with four main indices. It is found that significantly profitable simple rules and complex trading strategies do exist in the data from relatively “young” markets (NASDAQ Composite and Russell 2000) but not in the data from relatively “mature” markets [Dow Jones Industrial Average (DJIA) and S&P 500]. Moreover, after taking transaction costs into account, we find that the best rules for NASDAQ Composite and Russell 2000 outperform the buy-and-hold strategy in most in- and out-of-sample periods. It is also found that complex trading strategies are able to improve on the profits of simple rules and may even generate significant profits from unprofitable simple rules. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Financial Econometrics Oxford University Press

Reexamining the Profitability of Technical Analysis with Data Snooping Checks

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References (4)

Publisher
Oxford University Press
Copyright
© The Author 2005. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oupjournals.org.
ISSN
1479-8409
eISSN
1479-8417
DOI
10.1093/jjfinec/nbi026
Publisher site
See Article on Publisher Site

Abstract

In this article we reexamine the profitability of technical analysis using White’s reality check and Hansen’s SPA test that correct the data snooping bias. Compared to previous studies, we study a more complete “universe” of trading techniques, including not only simple rules but also complex trading strategies, and we test the profitability of these rules and strategies with four main indices. It is found that significantly profitable simple rules and complex trading strategies do exist in the data from relatively “young” markets (NASDAQ Composite and Russell 2000) but not in the data from relatively “mature” markets [Dow Jones Industrial Average (DJIA) and S&P 500]. Moreover, after taking transaction costs into account, we find that the best rules for NASDAQ Composite and Russell 2000 outperform the buy-and-hold strategy in most in- and out-of-sample periods. It is also found that complex trading strategies are able to improve on the profits of simple rules and may even generate significant profits from unprofitable simple rules.

Journal

Journal of Financial Econometrics – Oxford University Press

Published: Aug 5, 2005

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