Can technical oscillators outperform the buy and hold strategy?

This study compares returns from the traditional buy and hold (B&H) strategy to well-known technical oscillators applied to diverse indices leading the global market (DJI, FTSE, NK225 and TA100) during the period 2007–2012. Our aim was to establish whether technical tools can consistently achieve returns exceeding those of the B&H strategy across various financial markets. We found the relative strength index (RSI) to be the best oscillator, outperforming the DJIA, the FTSE100 and the NK225 for five of the six years examined. The only index that did better than the RSI was TA100, which outperformed all the examined oscillators. In second place was the moving average convergence/divergence (MACD) oscillator, which outperformed the NK225 B&H strategy and came in second for TA100. The results show that during bear markets the RSI and MACD generally produce better gains than the indices, while the opposite occurs during bull markets.

[1]  Chung-Ming Kuan,et al.  Testing the Predictive Ability of Technical Analysis Using a New Stepwise Test Without Data Snooping Bias , 2009 .

[2]  Clifford S. Asness,et al.  Value and Momentum Everywhere: Value and Momentum Everywhere , 2013 .

[3]  A. Shilling Market Timing: Better Than a Buy-and-Hold Strategy , 1992 .

[4]  Aristeidis Samitas,et al.  Profits from Technical Trading Rules: The Case of Cyprus Stock Exchange , 2010 .

[5]  B. Malkiel The Ef cient Market Hypothesis and Its Critics , 2003 .

[6]  Clifford S. Asness,et al.  Value and Momentum Everywhere , 2009 .

[7]  William M. Cheung,et al.  Intertemporal profitability and the stability of technical analysis: evidences from the Hong Kong stock exchange , 2011 .

[8]  R. Yaes The Efficient Market Hypothesis , 1989, Science.

[9]  Ben R. Marshall,et al.  Is technical analysis profitable on US stocks with certain size, liquidity or industry characteristics? , 2009 .

[10]  Stephen F. LeRoy,et al.  Efficient Market Hypothesis , 1991 .

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

[12]  E. Fama,et al.  Permanent and Temporary Components of Stock Prices , 1988, Journal of Political Economy.

[13]  E. L. Prentis Evidence on a New Stock Trading Rule that Produces Higher Returns with Lower Risk , 2011 .

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

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

[16]  Shlomit Hon-Snir,et al.  Stock Market Analysis in Practice: Is It Technical or Fundamental? , 2011 .

[17]  U. Ben-Zion,et al.  Efficiency Differences between the S&P 500 and the Tel-Aviv 25 Indices: A Moving Average Comparison , 2003 .