The Rise and Fall of Technical Trading Rule Success

The purpose of this paper is to examine the performance of an important set of momentum-based technical trading rules (TTRs) applied to all members of the Dow Jones Industrial Average (DJIA) stock index over the period 1928–2012. Using a set of econometric models that permit time-variation in risk-adjusted returns to TTR portfolios, the results reveal that profits evolve slowly over time, are confined to particular episodes primarily from the mid-1960s to mid-1980s, and rely on the ability of investors to short-sell stocks. These findings are demonstrated to be consistent with theoretical models that predict a relationship between TTR performance and market conditions.

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

[2]  Christopher J. Neely The Temporal Pattern of Trading Rule Returns and Central Bank Intervention: Intervention Does Not Generate Technical Trading Rule Profits , 2000 .

[3]  Kenneth A. Kavajecz,et al.  Technical Analysis and Liquidity Provision , 2004 .

[4]  Andreas Pick,et al.  Optimal Forecasts in the Presence of Structural Breaks , 2011 .

[5]  Cheolbeom Park,et al.  What Do We Know About the Profitability of Technical Analysis? , 2007 .

[6]  Michael J. Schill,et al.  The Illusory Nature of Momentum Profits , 2004 .

[7]  William F. Sharpe,et al.  Capital Asset Prices With and Without Negative Holding , 1991 .

[8]  D. Hirshleifer Investor Psychology and Asset Pricing , 2001 .

[9]  Eric Ghysels,et al.  Liquidity, Volatility, and Flights to Safety in the U.S. Treasury Market: Evidence from a New Class of Dynamic Order Book Models , 2012 .

[10]  Jae H. Kim,et al.  Stock Return Predictability and the Adaptive Markets Hypothesis: Evidence from Century Long U.S. Data , 2010 .

[11]  E. Fama,et al.  Common risk factors in the returns on stocks and bonds , 1993 .

[12]  R. Roll,et al.  A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market , 2008 .

[13]  Guofu Zhou,et al.  A New Anomaly: The Cross-Sectional Profitability of Technical Analysis , 2011, Journal of Financial and Quantitative Analysis.

[14]  Adam V. Reed,et al.  Can Short Restrictions Actually Increase Informed Short Selling , 2013 .

[15]  D. McFadden Testing for Stochastic Dominance , 1989 .

[16]  C. González-Gaya,et al.  Determination of Disproportionate Tenders in Public Procurement , 2013 .

[17]  A. Lo The Adaptive Markets Hypothesis , 2004 .

[18]  Xavier Gabaix,et al.  Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance , 2007 .

[19]  Federico Nardari,et al.  Time-varying short-horizon predictability ☆ , 2011 .

[20]  Christopher J. Neely,et al.  The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market , 2009, Journal of Financial and Quantitative Analysis.

[21]  Zhenyu Wang,et al.  Efficiency loss and constraints on portfolio holdings , 1998 .

[22]  Lukas Menkhoff,et al.  Extended evidence on the use of technical analysis in foreign exchange , 2006 .

[23]  Y. Amihud,et al.  Illiquidity and Stock Returns II: Cross-Section and Time-Series Effects , 2018, The Review of Financial Studies.

[24]  Kuan-Hui Lee,et al.  Short-Sale Strategies and Return Predictability , 2009 .

[25]  Cheng-Few Lee,et al.  Efficient Market Hypothesis (EMH): Past, Present and Future , 2008 .

[26]  Guofu Zhou,et al.  Technical analysis: An asset allocation perspective on the use of moving averages , 2009 .

[27]  Mark M. Carhart On Persistence in Mutual Fund Performance , 1997 .

[28]  Guofu Zhou,et al.  Forecasting the Equity Risk Premium: The Role of Technical Indicators , 2011, Manag. Sci..

[29]  Frank Zhang,et al.  Information Uncertainty and Stock Returns , 2004 .

[30]  N. Taylor The economic significance of conditioning information on portfolio efficiency in the presence of costly short-selling , 2012 .

[31]  Sascha Mergner,et al.  Applications of State Space Models in finance , 2009 .

[32]  Kent D. Daniel,et al.  Presentation Slides for 'Investor Psychology and Security Market Under and Overreactions' , 1998 .

[33]  F. Diebold,et al.  Macroeconomic Volatility and Stock Market Volatility, Worldwide , 2008 .

[34]  Peter C. B. Phillips,et al.  Statistical Inference in Instrumental Variables Regression with I(1) Processes , 1990 .

[35]  K. Lim,et al.  The Evolution of Stock Market Efficiency Over Time: A Survey of the Empirical Literature , 2011 .

[36]  Scott H. Irwin,et al.  A test of futures market disequilibrium using twelve different technical trading systems , 1988 .

[37]  The Evolution of Market Efficiency and its Periodicity: A Non-Bayesian Time-Varying Model Approach , 2012 .

[38]  Andrew W. Lo,et al.  Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation , 2000 .

[39]  G. D'Avolio,et al.  The Market for Borrowing Stock , 2002 .

[40]  Robert E. Verrecchia,et al.  Constraints on short-selling and asset price adjustment to private information , 1987 .

[41]  Short Sale Constraints and Stock Returns , 2002 .

[42]  H. White,et al.  Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap , 1999 .

[43]  I. Arnold,et al.  Treasury Bond Volatility and Uncertainty About Monetary Policy , 2010 .

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

[45]  Kalok Chan,et al.  Market Efficiency and the Returns to Technical Analysis , 1998 .

[46]  M. C. Jensen Some Anomalous Evidence Regarding Market Efficiency , 1978 .

[47]  Todd E. Clark,et al.  Forecast Combination Across Estimation Windows , 2011 .

[48]  O. Linton,et al.  Consistent Testing for Stochastic Dominance Under General Sampling Schemes , 2003 .

[49]  E. Miller Risk, Uncertainty, and Divergence of Opinion , 1977 .

[50]  P. Weller,et al.  Price Trends and Patterns in Technical Analysis: A Theoretical and Empirical Examination , 2009 .

[51]  Phelim P. Boyle,et al.  Sharpe, William F. , 2010 .

[52]  Timo Teräsvirta,et al.  Testing the constancy of regression parameters against continuous structural change , 1994 .

[53]  Shane A. Corwin,et al.  A Simple Way to Estimate Bid-Ask Spreads from Daily High and Low Prices , 2011 .

[54]  Kent D. Daniel,et al.  Overconfidence, Arbitrage, and Equilibrium Asset Pricing , 2001 .