On Uncertainty, Market Timing and the Predictability of Tick by Tick Exchange Rates

This paper examines the predictability of exchange rates on a transaction level basis using both past transaction prices and the structure of the order book. In contrast to the existing literature we also recognise that the trader may be subject to (Knightian) uncertainty as opposed to risk regarding the structure by which exchange rates are determined and hence regarding both the model he employs to make predictions and the reliability of any conditioning information. The trader is faced with a two stage decision problem due to this uncertainty; first he needs to resolve a question of market timing as to when to enter the market and then secondly how to trade. We provide a formalisation for this two stage decision problem. Statistical tests indicate the significance of out of sample ability to predict directional changes and the economic value of predictability using one week of tick-by-tick data on the USD-DM exchange rate drawn from Reuters DM2002 electronic trading system. These conclusions rest critically on the frequency of trading which is controlled by an inertia parameter reflecting the degree of uncertainty; trading too frequently significantly reduces profitability taking account of transaction costs.

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

[2]  F. Knight The economic nature of the firm: From Risk, Uncertainty, and Profit , 2009 .

[3]  M. Hashem Pesaran,et al.  A generalization of the non-parametric Henriksson-Merton test of market timing , 1994 .

[4]  Kenneth S. Rogoff,et al.  Exchange rate models of the seventies. Do they fit out of sample , 1983 .

[5]  S. Werlang,et al.  Uncertainty Aversion, Risk Aversion, and the Optimal Choice of Portfolio , 1992 .

[6]  Christopher J. Neely,et al.  Technical Analysis and Central Bank Intervention , 2000 .

[7]  W. Shadwick,et al.  A Universal Performance Measure , 2002 .

[8]  M. Hashem Pesaran,et al.  A Simple Nonparametric Test of Predictive Performance , 1992 .

[9]  M. Marinacci,et al.  A Smooth Model of Decision Making Under Ambiguity , 2003 .

[10]  Stanislav Anatolyev,et al.  A Trading Approach to Testing for Predictability , 2005 .

[11]  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.

[12]  Giorgio Valente,et al.  Exchange Rates and Fundamentals: Evidence on the Economic Value of Predictability , 2004 .

[13]  Shu-Heng Chen,et al.  Genetic Programming in the Coordination Game with a Chaotic Best-Response Function , 1996, Evolutionary Programming.

[14]  Franklin Allen,et al.  Using genetic algorithms to find technical trading rules , 1999 .

[15]  Massimo Marinacci,et al.  Differentiating ambiguity and ambiguity attitude , 2004, J. Econ. Theory.

[16]  Dominique M. Guillaume Do Technical Trading Rules Generate Profits , 2000 .

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

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

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

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

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

[22]  Jasmina Arifovic,et al.  The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies , 1996, Journal of Political Economy.

[23]  Jasmina Arifovic,et al.  Genetic algorithms and inflationary economies , 1995 .

[24]  陳樹衡,et al.  On the Coordination and Adaptability of the Large Economy: An Application of Genetic Programming to the Cobweb Model , 1995 .

[25]  Joseph P. Romano,et al.  Large Sample Confidence Regions Based on Subsamples under Minimal Assumptions , 1994 .

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

[27]  Qub Montrkal,et al.  Genetic algorithm learning and the cobweb model , 2002 .

[28]  M. Dempster,et al.  A real-time adaptive trading system using genetic programming , 2001 .

[29]  Chung-Ming Kuan,et al.  Re-Examining the Profitability of Technical Analysis with White's Reality Check and Hansen's Spa Test , 2004 .

[30]  Shu-Heng Chen,et al.  Toward a computable approach to the efficient market hypothesis: An application of genetic programming , 1995 .

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

[32]  Richard Payne,et al.  Do Technical Trading Rules Generate Profits? Conclusions from the Intra-day Foreign Exchange Market , 1997 .

[33]  T. Bewley Knightian decision theory. Part I , 2002 .

[34]  D. Bigman,et al.  Exchange rate and trade instability: Causes, consequences, and remedies , 1986 .

[35]  Jasmina Arifovic,et al.  Strategic Uncertainty and the Genetic Algorithm Adaptation , 1997 .

[36]  Richard K. Lyons,et al.  The Microstructure Approach to Exchange Rates , 2001 .

[37]  C. Osler,et al.  Support for Resistance: Technical Analysis and Intraday Exchange Rates , 2000 .

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

[39]  Garett O. Dworman,et al.  On Automated Discovery of Models Using Genetic Programming: Bargaining in a Three-Agent Coalitions Game , 1995, J. Manag. Inf. Syst..

[40]  P. Weller,et al.  The Predictive Power of Head-and-Shoulders Price Patterns in the U.S. Stock Market , 2006 .

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

[42]  Christopher J. Neely,et al.  Intraday Technical Trading in the Foreign Exchange Market , 1999 .