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.

[1]  Mark P. Taylor,et al.  The use of technical analysis in the foreign exchange market , 1992 .

[2]  Maureen O'Hara,et al.  Market Statistics and Technical Analysis: The Role of Volume , 1994 .

[3]  R. Sweeney,et al.  Beating the Foreign Exchange Market , 1986 .

[4]  Michael C. Jensen,et al.  Random Walks and Technical Theories: Some Additional Evidence , 1970 .

[5]  E. Fama,et al.  Filter Rules and Stock-Market Trading , 1966 .

[6]  B. Efron.  Bootstrap Methods: Another Look at the Jackknife , 1979 .

[7]  C. Osler,et al.  Head and Shoulders: Not Just a Flaky Pattern , 1995 .

[8]  Jack D. Schwager,et al.  Schwager on Futures: Technical Analysis , 1995 .

[9]  Salih N Neftci,et al.  Naive Trading Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of "Technical Analysis." , 1991 .

[10]  Robert Rhea.  The Dow Theory , 1994 .

[11]  Francis X. Diebold,et al.  Elements of Forecasting , 1997 .

[12]  Joseph P. Romano,et al.  The stationary bootstrap , 1994 .

[13]  James P. O'Shaughnessy.  What Works on Wall Street: A Guide to the Best-Performing Investment Strategies of All Time , 1996 .

[14]  A. Cowles.  Can Stock Market Forecasters Forecast , 1933 .

[15]  Stephen L Taylor,et al.  Trading futures using a channel rule: A study of the predictive power of technical analysis with currency examples , 1994 .

[16]  Richard M. Levich,et al.  The Significance of Technical Trading-Rule Profits in the Foreign Exchange Market: a Bootstrap Approach , 1991 .

[17]  Richard Demille Wyckoff.  Studies in Tape Reading , 1978 .

[18]  R. Sweeney,et al.  Some New Filter Rule Tests: Methods and Results , 1988, Journal of Financial and Quantitative Analysis.

[19]  A. Lo,et al.  Data-Snooping Biases in Tests of Financial Asset Pricing Models , 1989 .

[20]  Jiang Wang,et al.  Trading Volume and Serial Correlation in Stock Returns , 1992 .

[21]  B. LeBaron,et al.  Simple Technical Trading Rules and the Stochastic Properties of Stock Returns , 1992 .

[22]  J. Murphy.  Technical Analysis of the Futures Markets: A Comprehensive Guide to Trading Methods and Applications , 1986 .

[23]  M. Ready,et al.  Profits from Technical Trading Rules , 1998 .

[24]  Perry J. Kaufman,et al.  The new commodity trading systems and methods , 1987 .

[25]  K. West,et al.  Asymptotic Inference about Predictive Ability , 1996 .

[26]  H. White,et al.  A Reality Check for Data Snooping , 2000 .

[27]  Orline D. Foster,et al.  Profits from the stock market , 1937 .

[28]  S Sidney,et al.  ALEXANDER, . Price Movements in Speculative Markets: Trends or Random Review, , . , 1961 .

[29]  F. Douglas Foster,et al.  Assessing goodness-of-fit of asset pricing models: The distribution of the maximal R2 , 1997 .