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Technical analysis in foreign exchange markets: evidence from the EMS

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  • F. FernAndez-RodrIguez
  • S. Sosvilla-Rivero
  • J. Andrada-FElix

Abstract

This article assesses the economic significance of the non-linear predictability of EMS exchange rates. To that end, and using daily data for nine EMS currencies covering the 1 January 1978-31 December 1994 period, it considers nearest- neighbour non-linear predictors, transforming their forecasts into a technical trading rule, whose profitability has been evaluated against the traditional moving average trading rules, considering both interest rates and transaction costs. The results suggest that in most cases, a trading rule based on a non-linear predictor outperforms the moving average, both in terms of returns and in terms of the ideal profit and the Sharpe ratio profitability indicators.

Suggested Citation

  • F. FernAndez-RodrIguez & S. Sosvilla-Rivero & J. Andrada-FElix, 2003. "Technical analysis in foreign exchange markets: evidence from the EMS," Applied Financial Economics, Taylor & Francis Journals, vol. 13(2), pages 113-122.
    • Handle: RePEc:taf:apfiec:v:13:y:2003:i:2:p:113-122
    DOI: 10.1080/09603100210100891
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    1. Sweeney, Richard J, 1986. "Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
    2. Lee, Chun I. & Mathur, Ike, 1996. "Trading rule profits in european currency spot cross-rates," Journal of Banking & Finance, Elsevier, vol. 20(5), pages 949-962, June.
    3. Meese, Richard A & Rose, Andrew K, 1990. "Nonlinear, Nonparametric, Nonessential Exchange Rate Estimation," American Economic Review, American Economic Association, vol. 80(2), pages 192-196, May.
    4. Frankel, Jeffrey A & Froot, Kenneth A, 1987. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," American Economic Review, American Economic Association, vol. 77(1), pages 133-153, March.
    5. LeBaron, Blake, 1999. "Technical trading rule profitability and foreign exchange intervention," Journal of International Economics, Elsevier, vol. 49(1), pages 125-143, October.
    6. William F. Sharpe, 1965. "Mutual Fund Performance," The Journal of Business, University of Chicago Press, vol. 39, pages 119-119.
    7. Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon & Andrada-Felix, Julian, 1999. "Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS," International Journal of Forecasting, Elsevier, vol. 15(4), pages 383-392, October.
    8. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    9. Neely, Christopher J. & Weller, Paul A., 2001. "Technical analysis and central bank intervention," Journal of International Money and Finance, Elsevier, vol. 20(7), pages 949-970, December.
    10. Simon Sosvilla-Rivero & Fernando Fernandez-Rodriguez & Oscar Bajo-Rubio, 1999. "Exchange rate volatility in the EMS before and after the fall," Applied Economics Letters, Taylor & Francis Journals, vol. 6(11), pages 717-722.
    11. Engel, Charles, 1996. "The forward discount anomaly and the risk premium: A survey of recent evidence," Journal of Empirical Finance, Elsevier, vol. 3(2), pages 123-192, June.
    12. Szakmary, Andrew C. & Mathur, Ike, 1997. "Central bank intervention and trading rule profits in foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 513-535, August.
    13. P.H. Kevin Chang & Carol L. Osler, 1995. "Head and shoulders: not just a flaky pattern," Staff Reports 4, Federal Reserve Bank of New York.
    14. Bong-Chan, Kho, 1996. "Time-varying risk premia, volatility, and technical trading rule profits: Evidence from foreign currency futures markets," Journal of Financial Economics, Elsevier, vol. 41(2), pages 249-290, June.
    15. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    16. Bajo-Rubio, Oscar & Sosvilla-Rivero, Simon & Fernandez-Rodriguez, Fernando, 2001. "Asymmetry in the EMS: New evidence based on non-linear forecasts," European Economic Review, Elsevier, vol. 45(3), pages 451-473, March.
    17. Mizrach, B, 1992. "Multivariate Nearest-Neighbor Forecasts of EMS Exchange Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 151-163, Suppl. De.
    18. Levich, Richard M. & Thomas, Lee III, 1993. "The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approach," Journal of International Money and Finance, Elsevier, vol. 12(5), pages 451-474, October.
    19. repec:bla:ecorec:v:0:y:1992:i:0:p:105-16 is not listed on IDEAS
    20. Diebold, Francis X. & Nason, James A., 1990. "Nonparametric exchange rate prediction?," Journal of International Economics, Elsevier, vol. 28(3-4), pages 315-332, May.
    21. LeBaron, B., 1992. "Do Moving Average Trading Rule Results Imply Nonlinearites in Foreign Exchange Markets?," Working papers 9222, Wisconsin Madison - Social Systems.
    22. Neftci, Salih N, 1991. "Naive Trading Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of "Technical Analysis."," The Journal of Business, University of Chicago Press, vol. 64(4), pages 549-571, October.
    23. Allen, Helen & Taylor, Mark P, 1990. "Charts, Noise and Fundamentals in the London Foreign Exchange Market," Economic Journal, Royal Economic Society, vol. 100(400), pages 49-59, Supplemen.
    24. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    25. 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.
    26. Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon, 1998. "Testing nonlinear forecastability in time series: Theory and evidence from the EMS," Economics Letters, Elsevier, vol. 59(1), pages 49-63, April.
    27. Richard Meese & Kenneth S. Rogoff, 1981. "Empirical exchange rate models of the seventies: are any fit to survive?," International Finance Discussion Papers 184, Board of Governors of the Federal Reserve System (U.S.).
    28. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    29. Stephen J. Taylor, 1992. "Rewards Available to Currency Futures Speculators: Compensation for Risk or Evidence of Inefficient Pricing?," The Economic Record, The Economic Society of Australia, vol. 68(S1), pages 105-116, December.
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    Cited by:

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    2. Jia Wang & Hongwei Zhu & Jiancheng Shen & Yu Cao & Benyuan Liu, 2022. "Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements," Papers 2202.03158, arXiv.org.
    3. Jia Wang & Tong Sun & Benyuan Liu & Yu Cao & Degang Wang, 2021. "Financial Markets Prediction with Deep Learning," Papers 2104.05413, arXiv.org.
    4. Alexandros Milionis & Evangelia Papanagiotou, 2009. "A study of the predictive performance of the moving average trading rule as applied to NYSE, the Athens Stock Exchange and the Vienna Stock Exchange: sensitivity analysis and implications for weak-for," Applied Financial Economics, Taylor & Francis Journals, vol. 19(14), pages 1171-1186.
    5. Francisco Perez-Bermejo & Simon Sosvilla-Rivero & Reyes Maroto-Illera, 2007. "An eclectic approach to currency crises: drawing lessons from the EMS experience," Applied Financial Economics, Taylor & Francis Journals, vol. 18(6), pages 503-519.
    6. Alexandros E. Milionis & Evangelia Papanagiotou, 2013. "Decomposing the predictive performance of the moving average trading rule of technical analysis: the contribution of linear and non-linear dependencies in stock returns," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(11), pages 2480-2494, November.
    7. Giuseppe Galloppo, 2009. "Dynamic Asset Allocation Using a Combined Criteria Decision System," Accounting & Taxation, The Institute for Business and Finance Research, vol. 1(1), pages 29-44.
    8. Robert Kremer & Sherrill Shaffer, 2007. "Improving the accuracy of forward exchange rate forecasts by correcting for prior bias," Applied Financial Economics, Taylor & Francis Journals, vol. 17(18), pages 1469-1478.
    9. Andrada-Félix Julián & Fernadez-Rodriguez Fernando & Garcia-Artiles Maria-Dolores & Sosvilla-Rivero Simon, 2003. "An Empirical Evaluation of Non-Linear Trading Rules," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(3), pages 1-32, October.
    10. Gómez-Puig, Marta & Sosvilla-Rivero, Simón & Ramos-Herrera, María del Carmen, 2014. "An update on EMU sovereign yield spread drivers in times of crisis: A panel data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 133-153.
    11. Alexandros E. Milionis & Evangelia Papanagiotou, 2008. "A Note on the Use of Moving Average Trading Rules to Test For Weak from Efficiency in Capital Markets," Working Papers 91, Bank of Greece.
    12. Emma Garcia & Simón Sosvilla-rivero, 2005. "Forecasting the dollar|euro exchange rate: are international parities useful?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 369-377.
    13. Simón Sosvilla-Rivero & Emma García, "undated". "Forecasting the Dollar/Euro Exchange Rate: Can International Parities Help?," Working Papers 2003-15, FEDEA.
    14. Muhammad Arif & Muddasar Hasan & Abu Bakr & Muhammad Ziaullah & Muhammad Ali Tarer, 2018. "Profitability Of The Moving Averages Technical Trading Rules In An Emerging Stock Market-A Study Of Individual Stocks Listed On Pakistan Stock Exchange," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 14(2), pages 67-76.
    15. S. Sosvilla-Rivero & R. Maroto-Illera, 2003. "Regimen changes and duration in the European Monetary System," Applied Economics, Taylor & Francis Journals, vol. 35(18), pages 1923-1933.
    16. Chong, Terence Tai-Leung & Lam, Tau-Hing & Yan, Isabel Kit-Ming, 2012. "Is the Chinese stock market really inefficient?," China Economic Review, Elsevier, vol. 23(1), pages 122-137.
    17. Cheol‐Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, September.
    18. Jia Wang & Tong Sun & Benyuan Liu & Yu Cao & Hongwei Zhu, 2021. "CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets," Papers 2104.04041, arXiv.org.
    19. Dios Palomares, Rafaela & Martínez Paz, José Miguel & Martínezcarrasco Pleite, Federico, 2006. "Including environmental variables in the effi ciency analysis: A three-step method/El análisis de efi ciencia con variables de entorno: un método de programas con tres etapas," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 24, pages 477-497, Abril.
    20. Perez-Rodriguez, Jorge V. & Torra, Salvador & Andrada-Felix, Julian, 2005. "STAR and ANN models: forecasting performance on the Spanish "Ibex-35" stock index," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 490-509, June.
    21. Julián Andrada Félix & Fernando Fernández Rodríguez & María Dolores García Artiles, 2004. "Non-linear trading rules in the New York Stock Exchange," Documentos de trabajo conjunto ULL-ULPGC 2004-05, Facultad de Ciencias Económicas de la ULPGC.
    22. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.
    23. Sermpinis, Georgios & Stasinakis, Charalampos & Dunis, Christian, 2014. "Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 21-54.
    24. Muhammad Arif & Muddasar Hasan & Abu Bakr & Muhammad Ziaullah & Muhammad Ali Tarer, 2018. "Profitability Of The Moving Averages Technical Trading Rules In An Emerging Stock Market-A Study Of Individual Stocks Listed On Pakistan Stock Exchange," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 14(2), pages 14-16.

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