Are moving average trading rules profitable? Evidence from the European stock markets

This article examines the profitability of several simple technical trading rules for 16 European stock markets over the 1990 to 2006 period. Our results indicate that increasing moving average rules indeed have predictive power being able to discern recurring price patterns for profitable trading, even after accounting for the effects of data snooping bias. To assess the profitability of different technical trading rules and strategies, we adopt the White's (2000) Reality Check (RC) test that quantifies the data snooping bias and adjusts for its effects. Our empirical results also support the hypothesis that technical trading rules can outperform the buy and hold strategy after accounting for transaction costs.

[1]  Numan Ülkü,et al.  Drivers of technical trend-following rules' profitability in world stock markets , 2013 .

[2]  Juri Marcucci,et al.  Is the Swedish stock market efficient? Evidence from some simple trading rules☆ , 2008 .

[3]  Curtis M. Arnold.  Timing the Market: How to Profit in Bull and Bear Markets with Technical Analysis , 2008 .

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

[5]  Mark P. Taylor,et al.  The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis , 2007 .

[6]  D. Power,et al.  An analysis of trading strategies in eleven European stock markets , 2005 .

[7]  Chung-Ming Kuan,et al.  Reexamining the Profitability of Technical Analysis with Data Snooping Checks , 2005 .

[8]  Min Wu,et al.  Technical Trading-Rule Profitability, Data Snooping, and Reality Check: Evidence from the Foreign Exchange Market , 2005 .

[9]  P. Hansen.  A Test for Superior Predictive Ability , 2005 .

[10]  S. Mengoli,et al.  On the source of contrarian and momentum strategies in the Italian equity market , 2004 .

[11]  Richard J. Kish,et al.  Technical trading strategies and return predictability: NYSE , 2002 .

[12]  W. Fong,et al.  Simple Trading Rules and the Market for Internet Stocks , 2001 .

[13]  Ryan Sullivan,et al.  Forecast Evaluation with Shared Data Sets , 2001 .

[14]  Ian Domowitz,et al.  Liquidity, Volatility and Equity Trading Costs Across Countries and Over Time , 2001 .

[15]  A. Shleifer,et al.  Inefficient Markets: An Introduction to Behavioral Finance , 2002 .

[16]  Kwong-C. Cheung,et al.  Trading rules and stock returns: some preliminary short run evidence from the Hang Seng 1985-1997 , 2000 .

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

[18]  Bertrand Maillet,et al.  Further insights on the puzzle of technical analysis profitability , 2000 .

[19]  Ricardo Pereira Câmara Leal,et al.  Tests of technical trading strategies in the emerging equity markets of Latin America and Asia , 1999 .

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

[21]  Wallace N. Davidson,et al.  Filter Tests in Nasdaq Stocks , 1998 .

[22]  Ramazan Gençay,et al.  The predictability of security returns with simple technical trading rules , 1998 .

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

[24]  Ramazan Gençay,et al.  Optimization of technical trading strategies and the profitability in security markets , 1998 .

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

[26]  Microstructure and Seasonality in the UK Equity Market , 1997 .

[27]  Technical analysis, trading volume and market efficiency: evidence from an emerging market , 1997 .

[28]  Peter J. Knez,et al.  Estimating the Profits from Trading Strategies , 1996 .

[29]  Robert Hudson,et al.  A note on the weak form efficiency of capital markets: The application of simple technical trading rules to UK stock prices - 1935 to 1994 , 1996 .

[30]  Mahendra Raj,et al.  Effectiveness of simple technical trading rules in the Hong Kong futures markets , 1996 .

[31]  Kalok Chan,et al.  The profitability of technical trading rules in the Asian stock markets , 1995 .

[32]  T. Mills,et al.  Calendar effects in the London Stock Exchange FT-SE indices , 1995 .

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

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

[35]  Björn Hansson,et al.  Testing the random walk hypothesis on Swedish stock prices: 1919–1990 , 1993 .

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

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

[38]  Josef Lakonishok,et al.  Are Seasonal Anomalies Real? A Ninety-Year Perspective , 1988 .

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

[40]  Stephen W. Pruitt,et al.  The CRISMA trading system , 1988 .

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

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

[43]  Arnold B. Larson,et al.  Measurement of a Random Process in Futures Prices , 1976 .

[44]  E. Fama.  EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .

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

[46]  J. V. Horne,et al.  The Random-Walk Theory: An Empirical Test , 1967 .

[47]  E. Fama.  The Behavior of Stock-Market Prices , 1965 .

[48]  S Sidney,et al.  ALEXANDER, . Price Movements in Speculative Markets: Trends or Random Walks, No. 2. Industrial Management Review, , . , 1964 .

[49]  Clive W. J. Granger,et al.  Spectral analysis of New York stock market prices , 1963 .

[50]  B. Mandelbrot.  The Variation of Certain Speculative Prices , 1963 .

[51]  Martin J. Osborne,et al.  Periodic Structure in the Brownian Motion of Stock Prices , 1962 .