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How rewarding is technical analysis? Evidence from Athens Stock Exchange

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Abstract

The purpose of this paper is to investigate the performance of various technical trading rules in the Athens Stock Market. We test two of the simplest and most popular trading rules- Moving Averages and MACD Indicator. We evaluate how these simple forms of technical analysis can predict stock price movements in the Athens Stock Exchange. This study will investigate these effects for the most important index of the Athens market, the Athens General Index. Our study covers the period from 1/1/1990 to 31/12/2004. The methodologies employed include standard tests and bootstrap. Overall, our results provide strong support for the examined technical strategies.

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References

  • Achelis Steven (1996), Technical Analysis from A to Z, IRWIN 1996

  • Alexakis, P. and Petrakis P. (1991) “Analyzing Stock Market Behaviour in a Small Capital Market”, Journal of Banking and Finance, 15: 471–483.

    Article  Google Scholar 

  • Alexakis, P. and Xanthakis M. (1995) “Day-of-the-Week Effect on the Greek Stock Market”, Applied Financial Economics, 5, 43–50.

    Article  Google Scholar 

  • Angelidis, D. and Lyroudi, K. (2004) “Seasonalities in the French Stock Market: The Day of the Week Anomaly”, Presentation at the 11th Annual Conference of the Multinational Finance Society July 3–8, 2004, Constantinople.

  • Appel, Gerald (1979), The Moving Average Convergence-Divergence Method. Great Neck, NY: Signalert, 1979.

    Google Scholar 

  • Athanassakos, G. and Robinson, M. J. (1994) “The Day of the Week Anomaly: The Toronto Stock Exchange Experience”, Journal of Business Finance & Accounting, 21, 833–56.

    Article  Google Scholar 

  • Atmeh M. and Dobbs I.M., (2004), “Technical Analysis and the stochastic properties of the Jordanian Stock Market Index Return”, Working paper

  • Balsara Nauzer, Carlson Kathleen and Narendar V. Rao, (1996), “Unsystematic Futures Profits with Technical Trading Rules: A case for flexibility”, Journal Of Financial And Strategic Decisions Volume 9 Number 1 Spring 1996 pp 57–66

    Google Scholar 

  • Brown, D. P. and R. H. Jennings (1989) “On technical analysis”, Review of Financial Studies 2, pp. 527–551

    Article  Google Scholar 

  • Clyde, W. C. and C. L. Osier (1997) “Charting: Chaos theory in disguise?”, Journal of Future Markets 17, pp. 489–514.

    Article  Google Scholar 

  • Efron, B. (1979) “Bootstrapping methods: Another look at the jacknife”, Annals of Statistics 7, pp. 1–26.

    Article  Google Scholar 

  • Efron, B. and R. J. Tibshirani (1993), “An introduction to the bootstrap”, Chapman&Hall, New York.

    Google Scholar 

  • Efron, B.(1982), The Jackknife, The Bootstrap, and Other Resampling Plans, Society for Industrial and Applied Mathematics, Philadelphia.

    Google Scholar 

  • Efron, B. and R. Tibshirani, (1986), Bootstrap methods for standard errors, confidence intervals and other measures of statistical accuracy, Statistical Science 1, 54–77.

    Article  Google Scholar 

  • Fama E. and French K. (1988). “Permanent and Temporary Components of Stock Prices’ Journal of Political Economy”, Volume 96, Issue 2 (Apr. 1988), 246–274.

    Google Scholar 

  • Fama E.(1965). “The Behaviour of Stock-Market Prices”, Journal of Business, Volume 38, Issue 1 (Jan., 1965), 34–105.

    Article  Google Scholar 

  • Fama E.(1970). Efficient Capital Markets: A Review of Theory and Empirical Work, Journal of Finance, Volume 25, Issue 2, Papers and Proceedings of the Twenty-Eighth Annual Meeting of the American Finance Association New York, N.Y. December, 28–30, 1969 (May, 1970), 383–417.

    Article  Google Scholar 

  • Fernandez-Rodriguez, F., Sosvilla-Rivero, S. and M. D. Garcia-Artiles (1997) “Using nearest neighbour predictors to forecast the Spanish stock market”, Investigaciones Economicas 21, pp. 75–91.

    Google Scholar 

  • Fernando Fernandez-Rodriguez, SimóN Sosvilla-Rivero and Julián Andrada-Félix (1999), “Technical Analysis in the Madrid Stock Exchange”, FEDEA —D.T.99-05 (May 1999), pp. 1–29

  • Fountas, Stilianos, and Konstantinos N. Segredakis, (2002), “Emerging stock markets return seasonalities: the January effect and the tax-loss selling hypothesis”, Applied Financial Economics 12, 291–299.

    Article  Google Scholar 

  • Freedman, D. (1984b), Bootstrapping an econometric model: Some empirical results, Journal of Business and Economic Statistics 2, 150–158

    Article  Google Scholar 

  • Freedman, D. and S. Peters, (1984a), Bootstrapping a regression equation: Some empirical results, Journal of the American Statistical Society 79, 97–106.

    Google Scholar 

  • Freedman, D., (1984), “On bootstrapping two-stage least squares estimates in stationary linear models”. Annals of Statistics 12, 827–842.

    Article  Google Scholar 

  • Gençay, R. (1998) “The predictability of securities returns with simple technical rules”, Journal of Empirical Finance 5, pp. 347–359.

    Article  Google Scholar 

  • Keim, Donald (1983). “Size-Related Anomalies and Stock Return Seasonality: Further Empirical Evidence”, Journal of Financial Economics, 12, pp 13–32.

    Article  Google Scholar 

  • Ki-Yeol Kwon and Richard J. Kish (2002), “Technical trading strategies and return predictability: NYSE”, Applied Financial Economics, Volume 12, Number 9 / September 01, 2002, pp 639–653

    Article  Google Scholar 

  • Koutmos, G., Negakis, C. and Theodossiou P. (1993) “Stochastic Behaviour of the Athens Stock Exchange” Applied Financial Economics, 3: 119–126.

    Article  Google Scholar 

  • Levich, R. and L. Thomas (1993) “The significance of technical trading rule profits in the foreign exchange market: A bootstrap approach”, Journal of International Money and Finance 12, pp. 451–474.

    Article  Google Scholar 

  • Lyroudi, K., Noulas, A. and Komisopoulos G. (2002) “The Day of the Week Effect in the Athens Stock Exchange” Spoudai, 52 (4): 69–87.

    Google Scholar 

  • Mills, T.C., Siriopoulos, C., Markellos, R.N. and Harizanis, D., (2000) “Seasonality in the Athens Stock Exchange” Applied Financial Economics, 10: 137–142.

    Article  Google Scholar 

  • Neftci S. (1991). “Naive Trading Rules in Financial Markets and Weiner-Kologorov Prediction Theory: A study of “Technical Analysis”. Journal of Business, Volume 64, Issue 4 (Oct. 1991), 549–571.

    Article  Google Scholar 

  • Nikou, K. (1997) “Market Results and the Phenomenon of the Weekend Effect on the Stock Market Returns”, Master Thesis, University of Macedonia.

  • P.-J. Detry and Philippe Gregoire, “Other evidences of the predictive power of technical analysis: the moving averages rules on European indexes”, CeReFiM, Belgium, pp 1–25

  • Pring, M. J. (1991), “Technical analysis explained: The successful investor’s guide to spotting investment trends and turning points”, Macgraw-Hill, New York.

    Google Scholar 

  • Reinganum, M. R. (1981), “Misspecification of Capital Asset Pricing: Empirical Anomalies Based on Earnings’ Yields and Market Values”, Journal of Financial Economics, 9, p.p. 19–46.

    Article  Google Scholar 

  • Taylor, M. P. and H. Allen (1992) “The use of technical analysis in the foreign exchange market”, Journal of International Money and Finance 11, pp. 304–314.

    Article  Google Scholar 

  • William Brock, Josef Lakonishok and Blake LeBaron (1992), “Simple Technical Trading Rules and the Stochastic Properties of Stock Returns”, Journal of Finance, Vol. 47, No. 5. (Dec, 1992), pp. 1731–1764.

    Article  Google Scholar 

  • Wing-Keung Wong, Meher Manzur, Boon-Kiat Chew (2003), “How rewarding is Technical analysis? Evidence from Singapore stock market”, Applied Financial Economics, Volume 13, Number 7 / July 2003, pp 543–551

    Article  Google Scholar 

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Vasiliou, D., Eriotis, N. & Papathanasiou, S. How rewarding is technical analysis? Evidence from Athens Stock Exchange. Oper Res Int J 6, 85–102 (2006). https://doi.org/10.1007/BF02941226

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