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Measuring the Efficiency of the Intraday Forex Market with a Universal Data Compression Algorithm

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  • Y. Kahiri

    (Ben-Gurion University)

  • A. Shmilovici

    (Ben-Gurion University)

  • S. Hauser

    (Ben-Gurion University)

Abstract

The Efficient Market Hypothesis (EMH) states that the current market price fully reflects all available information. The weak form of the EMH considers only past price data and rules out predictions based on the price data only. The prices follow a random walk, where successive changes have zero correlation. Universal coding methods were developed within the context of coding theory to compress a data sequence without any prior assumptions about the statistics of the generating process. The universal coding algorithms - typically used for file compression - constructs a model of the data that will be used for coding it in a less redundant representation. Connection between compressibility and predictability exists in the sense that sequences, which are compressible, are easy to predict and conversely, incompressible sequences are hard to predict. Here we use the context tree algorithm of Rissanen which can be used to compress even relatively short data sets - like the ones available from economic time series. The weak form of the EMH is tested for one year for 12 pairs of international intra-day currency exchange rates. The currencies are described in table 1. The intra-day currency exchange rates were encoded for series of 1,5,10,15,20,25 and 30 minutes to a tri-nary string indicating a {low, stable, high} trend. Statistically significant compression is detected in all the time-series. A simulation of opening and closing positions demonstrated no profit beyond the commission for the intra-day trade. Our conclusion is that though the context tree is a useful tool for forecasting time series, the Forex market is efficient most of the time, and the short periods of inefficiency are not sufficient generating excess profit.

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Bibliographic Info

Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 256.

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Date of creation: 04 Jul 2006
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Handle: RePEc:sce:scecfa:256

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Keywords: Efficient Market Hypothesis; Context Tree; Forex Intra-day Trading; Stochastic Complexity;

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References

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  1. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
  2. Blake LeBaron, . "Technical Trading Rule Profitability and Foreign Exchange Intervention," Working papers _002, University of Wisconsin - Madison.
  3. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
  4. Sullivan, Ryan & Timmermann, Allan G & White, Halbert, 1998. "Data-Snooping, Technical Trading Rule Performance and the Bootstrap," CEPR Discussion Papers 1976, C.E.P.R. Discussion Papers.
  5. Ching-Wei Tan, 1999. "Estimating the Complexity Function of Financial Time Series: An Estimation Based on Predictive Stochastic Complexity," Computing in Economics and Finance 1999 1143, Society for Computational Economics.
  6. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974 Elsevier.
  7. Boero, Gianna & Marrocu, Emanuela, 2002. "The Performance of Non-linear Exchange Rate Models: A Forecasting Comparison," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(7), pages 513-42, November.
  8. Kaashoek, Johan F & van Dijk, Herman K, 2002. "Neural Network Pruning Applied to Real Exchange Rate Analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(8), pages 559-77, December.
  9. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
  10. Alan M. Taylor & Mark Taylor, 2004. "The Purchasing Power Parity Debate," Working Papers 46, University of California, Davis, Department of Economics.
  11. Christopher J. Neely, 1997. "Technical analysis in the foreign exchange market: a layman's guide," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 23-38.
  12. Chee-Keong Choong & Wai-Ching Poon & Muzafar Shah Habibullah & Zulkornain Yusop, 2003. "The Validity of PPP Theory in ASEAN-Five: Another Look on Cointegration and Panel Data Analysis," International Trade 0309018, EconWPA.
  13. Mohsen Bahmani-Oskooee & Ali M. Kutan & Su Zhou, 2008. "Do Real Exchange Rates Follow a Nonlinear Mean Reverting Process in Developing Countries," Southern Economic Journal, Southern Economic Association, vol. 74(4), pages 1049-1062, April.
  14. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
  15. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-617, December.
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Cited by:
  1. Tokár, T. & Horváth, D., 2012. "Market inefficiency identified by both single and multiple currency trends," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5620-5627.
  2. Panagiotis Papaioannnou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Papers 1310.5306, arXiv.org.
  3. Panagiotis Papaioannou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Netnomics, Springer, vol. 14(1), pages 47-68, November.
  4. Brandouy, Olivier & Delahaye, Jean-Paul & Ma, Lin & Zenil, Hector, 2014. "Algorithmic complexity of financial motions," Research in International Business and Finance, Elsevier, vol. 30(C), pages 336-347.
  5. Olivier Brandouy & Jean-Paul Delahaye & Lin Ma & Hector Zenil, 2012. "Algorithmic Complexity of Financial Motions," ASSRU Discussion Papers 1204, ASSRU - Algorithmic Social Science Research Unit.

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