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On uncertainty, market timing and the predictability of tick by tick exchange rates

By Roman Kozhan and Mark H. Salmon


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

Topics: HB
Publisher: Warwick Business School, Financial Econometrics Research Centre
Year: 2008
OAI identifier:

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  1. (1981). 1 P0i Pi0 for i = j Pj0 P0i for i = j When m = 2 this test is asymptotically equivalent to the Henriksson-Merton test of market timing (see Henrikson and Merton
  2. 1997a, On the Coordination and Adaptability of the Large Economy: An Application of Genetic Programming to the Cobweb Model, Advances in Genetic Programming II,
  3. 1997b, Toward a computable approach to the e cient market hypothesis: An application of genetic programming, doi
  4. (2005). 8.2 Anatolyev-Gerko Test The Anatolyev and Gerko (Anatolyev and Gerko doi
  5. (1994). A generalization of the non-parametric henriksson-merton test of market timing, doi
  6. (2001). A real time adaptive trading system using genetic programming, doi
  7. (1992). A simple nonparametric test of predictive performance, doi
  8. (2005). A smooth model of decision making under ambiguity, doi
  9. (2005). A trading approach to testing for predictability, doi
  10. (2002). A universal performance measure,
  11. (1983). Analysis of Short-Run Exchange Rate Bahavior:
  12. (1986). Beating the foreign exchange market, doi
  13. (2003). Currency orders and exchange rate dynamics: an explanation for the predictive success of technical analysis, doi
  14. (1999). Data-snooping, technical trading rule performance, and the bootstrap, doi
  15. (2004). Di erentiating ambiguity and ambiguity attitude, doi
  16. (1997). Do technical trading rules generate profits? Conclusions fron the intra-day foreign exchange market, doi
  17. (1983). Empirical exchange rate models of the seventies: Do they fit out of sample?,
  18. (2005). Exchange rate and fundamentals: Evidence on the economic value of predictability, doi
  19. (1966). Filter rules and stock market tradings, doi
  20. (1994). Genetic algorithm learning and the cobweb model, doi
  21. (1995). Genetic algorithms and inflationary economies, doi
  22. (1999). Genetic programming in the coordination game with a chaotic best-responce function,
  23. (1995). Head and shoulders: not just a flaky pattern, Sta Report No 4, Federal Reserve Bank of
  24. (2003). Intraday technical trading in the foreign exchange market, doi
  25. (1997). Is technical analysis in the foreign exchange market profitable?, doi
  26. (2000). It shown in White doi
  27. (2002). Knightian decision theory: Part I, doi
  28. (1994). Large sample confidence regions based on subsamples with minimum assumptions, doi
  29. (1999). Methodological madness: technical analysis and the irrationality of exchange rate forecasts, doi
  30. (1996). On automated discovery of models using genetic programming: Bargaining in a three-agent coalitions game, doi
  31. (1981). On market timing and investment performance II. Statistical procedures for evaluating forecasting skills, doi
  32. (2006). Re-examining the profitability of technical analysis with White’s Reality Check, Working Paper . doi
  33. (1921). Risk, Uncertainty and Profit, doi
  34. (1997). Strategic uncertainty and the genetic algorithm adaptation, doi
  35. (2000). Support for resistance: technical analysis and intraday exchange rates,
  36. (2001). Technical analysis and central bank intervantion, doi
  37. (1996). The behavior of the exchange rate in the genetic algorithm and experimental economies, doi
  38. (2001). The Microstructure Approach to Exchange Rates, doi
  39. (2007). The predictive power of head-andshoulders price patterns in the US stock market, doi
  40. (1993). The significance of technical trading rule profits in the foreign exchange market: a bootsrap approach, doi
  41. (1996). The use of fundamental and technical analysis by foreign exchange dealers : Hong kong evidence, mimeo doi
  42. (1992). The use of technical analyses in the foreign exchange market, doi
  43. (1992). Uncertainty aversion, risk aversion, and the optimal choice of portfolio, doi
  44. (1999). Using genetic algorithms to find technical trading rules, doi

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