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Technical analysis in foreign exchange markets: evidence from the EMS

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Author Info

  • 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.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100210100891
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 13 (2003)
Issue (Month): 2 ()
Pages: 113-122

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Handle: RePEc:taf:apfiec:v:13:y:2003:i:2:p:113-122

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References

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  1. 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 1731-64, December.
  2. Oscar Bajo-Rubio & Simón Sosvilla-Rivero & Fernado Fernández-Rodríguez, . "Asymmetry in the EMS: New evidence based on non-linear forecasts," Working Papers 97-24, FEDEA.
  3. Oliver LINTON, . "Applied nonparametric methods," Statistic und Oekonometrie 9312, Humboldt Universitaet Berlin.
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  10. 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.
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  18. 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.
  19. Richard Meese & Kenneth 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.).
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Citations

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Cited by:
  1. 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.
  2. 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.
  3. 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.
  4. Reyes Maroto Illera & Francisco Pérez Bermejo & Simón Sosvilla-Rivero, . "An Eclectic Approach to Currency Crises: Drawing Lessons from the EMS Experience," Working Papers 2002-22, FEDEA.
  5. 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.
  6. 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.
  7. 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, 09.
  8. 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.
  9. 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 Economía Aplicada, Estudios de Economía Aplicada, vol. 24, pages 477-497, Abril.

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