The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market

We analyze the intertemporal stability of excess returns to technical trading rules in the foreign exchange market by conducting true, out-of-sample tests on previously studied rules. The excess returns of the 1970s and 1980s were genuine and not just the result of data mining. But these profit opportunities had disappeared by the early 1990s for filter and moving average rules. Returns to less-studied rules also have declined but have probably not completely disappeared. High volatility prevents precise estimation of mean returns. These regularities are consistent with the Adaptive Markets Hypothesis (Lo (2004)), but not with the Efficient Markets Hypothesis.

[1]  M. Dooley,et al.  Analysis of short-run exchange behavior: March, 1993 to September, 1975 , 1976 .

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

[3]  D. Andrews Tests for Parameter Instability and Structural Change with Unknown Change Point , 1993 .

[4]  John Okunev,et al.  Do Momentum-Based Strategies Still Work in Foreign Currency Markets? , 2003, Journal of Financial and Quantitative Analysis.

[5]  Jacob A. Frenkel,et al.  Transaction Costs and Interest Arbitrage: Tranquil versus Turbulent Periods , 1977, Journal of Political Economy.

[6]  N. Barberis,et al.  Mental Accounting, Loss Aversion, and Individual Stock Returns , 2001 .

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

[8]  Yin-Wong Cheung,et al.  Currency Traders and Exchange Rate Dynamics: A Survey of the U.S. Market , 2000, SSRN Electronic Journal.

[9]  Yu-Hon Lui,et al.  The use of fundamental and technical analyses by foreign exchange dealers: Hong Kong evidence , 1998 .

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

[11]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[12]  B. LeBaron Technical Trading Rule Profitability and Foreign Exchange Intervention , 1996 .

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

[14]  G. Gandolfo The Exchange Rate , 1995 .

[15]  J. Bai,et al.  Estimating Multiple Breaks One at a Time , 1997, Econometric Theory.

[16]  C. Osler,et al.  Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis , 2003 .

[17]  S. Schulmeister The Interaction between Technical Currency Trading and Exchange Rate Fluctuations , 2006 .

[18]  Christopher J. Neely Technical analysis in the foreign exchange market: a layman's guide , 1997 .

[19]  K. French Stock returns and the weekend effect , 1980 .

[20]  Ramazan Gençay,et al.  Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules , 1999 .

[21]  Colin Camerer,et al.  Behavioral Economics: Past, Present, Future , 2003 .

[22]  J. Stephen The behaviour of futures prices over time , 1985 .

[23]  W. Fung,et al.  A primer on hedge funds , 1999 .

[24]  Christopher J. Neely,et al.  Technical Trading Rules in the European Monetary System , 1999 .

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

[26]  A. Lo The Statistics of Sharpe Ratios , 2002 .

[27]  Liang-sheng Lu,et al.  [Expression of fusion proteins in beta(2)GP I gene-transfected HEp-2 cells and its clinical application]. , 2002, Zhonghua yi xue za zhi.

[28]  Man-kin. Chow,et al.  Technical analysis of the foreign exchange market , 1992 .

[29]  Anna D. Martin Technical trading rules in the spot foreign exchange markets of developing countries , 2001 .

[30]  Christopher J. Neely The temporal pattern of trading rule returns and exchange rate intervention: intervention does not generate technical trading profits , 2002 .

[31]  Milton Friedman,et al.  The Case for Flexible Exchange Rates , 1996 .

[32]  D. Logue,et al.  'White-Noise' in Imperfect Markets: The Case of the Franc/Dollar Exchange Rate , 1977 .

[33]  L. Summers,et al.  Positive Feedback Investment Strategies and Destabilizing Rational Speculation , 1989 .

[34]  Lukas Menkhoff,et al.  Examining the Use of Technical Currency Analysis , 1997 .

[35]  F. Lutz,et al.  The case for flexible exchange rates , 1954 .

[36]  R. Lowenstein When Genius Failed: The Rise and Fall of Long-Term Capital Management , 2000 .

[37]  Richard H. Thaler,et al.  Mental Accounting and Consumer Choice , 1985, Mark. Sci..

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

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

[40]  A. Shleifer,et al.  The Limits of Arbitrage , 1995 .

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

[42]  Dennis Olson,et al.  Have trading rule profits in the currency markets declined over time , 2004 .

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

[44]  R. Banz,et al.  The relationship between return and market value of common stocks , 1981 .

[45]  I. Mathur,et al.  Trading rule profits in Latin American currency spot rates , 2001 .

[46]  Stephen L Taylor,et al.  Rewards Available to Currency Futures Speculators: Compensation for Risk or Evidence of Inefficient Pricing? , 1992 .

[47]  D. Andrews Tests for Parameter Instability and Structural Change with Unknown Change Point , 1993 .

[48]  Eric Ghysels,et al.  Predictive Tests for Structural Change with Unknown Breakpoint , 1995 .

[49]  Louis P. Lukac,et al.  Similarity of computer guided technical trading systems , 1988 .

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

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

[52]  Mark P. Taylor,et al.  The Obstinate Passion of Foreign Exchange Professionals : , 2006 .

[53]  F. Mccormick,et al.  Covered Interest Arbitrage: Unexploited Profits? Comment , 1979, Journal of Political Economy.

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

[55]  Christopher J. Neely,et al.  Technical Trading Rules in the European Monetary System , 1998 .

[56]  Cheolbeom Park,et al.  The Profitability of Technical Trading Rules in Us Futures Markets: A Data Snooping Free Test , 2005 .

[57]  J. Stein,et al.  A Unified Theory of Underreaction, Momentum Trading and Overreaction in Asset Markets , 1997 .

[58]  Yin-Wong Cheung,et al.  A survey of market practitioners' views on exchange rate dynamics , 2000 .

[59]  Christopher J. Neely,et al.  The transition to electronic communications networks in the secondary treasury market , 2006 .

[60]  Y. Chen [The change of serum alpha 1-antitrypsin level in patients with spontaneous pneumothorax]. , 1995, Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases.

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

[62]  Richard M. Levich,et al.  Covered Interest Arbitrage: Unexploited Profits? , 1975, Journal of Political Economy.

[63]  J. Dietrich,et al.  The Efficiency of the Market for Foreign Exchange under Floating Exchange Rates , 1978 .

[64]  William Poole,et al.  Speculative Prices as Random Walks: An Analysis of Ten Time Series of Flexible Exchange Rates , 1967 .

[65]  P. Chang,et al.  Methodical Madness: Technical Analysis and the Irrationality of Exchange-rate Forecasts , 1999 .

[66]  The Profitability of Technical Stock Trading has Moved from Daily to Intraday Data , 2007 .

[67]  Christopher J. Neely,et al.  Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach , 1996, Journal of Financial and Quantitative Analysis.

[68]  The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market , 2009, Journal of Financial and Quantitative Analysis.

[69]  Joel L. Horowitz,et al.  Three analyses of the firm size premium , 2000 .

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

[71]  Christopher J. Neely,et al.  Can Markov Switching Models Predict Excess Foreign Exchange Returns? , 2006 .