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Technical Analysis In Foreign Exchange Markets: Linear Versus Nonlinear Trading Rules

Author

Listed:
  • Fernando Fernández-Rodríguez

    (Universidad de Las Palmas de Gran Canaria)

  • Simón Sosvilla-Rivero

    (FEDEA and Universidad Complutense de Madrid)

  • Julián Andrada-Félix

    (Universidad de Las Palmas de Gran Canaria)

Abstract

In this paper we assess the economic significance of the nonlinear predictability of EMS exchange rates. To that end, and using daily data for nine EMS currencies covering the 1st January 1978- 31st December 1994 period, we consider nearest-neighbour nonlinear predictors, transforming their forecasts into a technical trading rule, whose profitability has been evaluated against the traditional (linear) moving average trading rules, considering both interest rates and transaction costs. Our results suggest that in most of the cases a trading rule based on a nonlinear predictor outperform the moving average, both in terms of returns and in terms of the ideal profit and the Sharpe ratio profitability indicators.

Suggested Citation

  • Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, 2000. "Technical Analysis In Foreign Exchange Markets: Linear Versus Nonlinear Trading Rules," Working Papers 00-02, Asociación Española de Economía y Finanzas Internacionales.
  • Handle: RePEc:aee:wpaper:0002
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    References listed on IDEAS

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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. Bryon Higgins, 1993. "Was the ERM crisis inevitable?," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 27-40.
    4. 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.
    5. 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.
    6. LeBaron, Blake, 1999. "Technical trading rule profitability and foreign exchange intervention," Journal of International Economics, Elsevier, vol. 49(1), pages 125-143, October.
    7. 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.
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    11. 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.
    12. Carol L. Osler & P.H. Kevin Chang, 1995. "Head and shoulders: not just a flaky pattern," Staff Reports 4, Federal Reserve Bank of New York.
    13. 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.
    14. William F. Sharpe, 1965. "Mutual Fund Performance," The Journal of Business, University of Chicago Press, vol. 39, pages 119-119.
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    Cited by:

    1. Subbiah, Mohan & Fabozzi, Frank J., 2016. "Hedge fund allocation: Evaluating parametric and nonparametric forecasts using alternative portfolio construction techniques," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 189-201.

    More about this item

    Keywords

    Nearest-neighbour prediction methods; Technical trading rules; Exchange rates;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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