Market Efficiency and Profitability of Technical Trading Rules: Evidence from Vietnam

Main Article Content

Massoud Metghalchi

Abstract

Market Efficiency and Profitability of Technical Trading Rules: Evidence from Vietnam Abstract            We apply several well-known and popular technical indicators to the daily data for the Vietnam Ho Chi Minh stock index (VSI) from 5/15/2002 to October 31 of 2012.  The empirical results strongly support the predictive power of technical trading rules; these strong results also hold for each sub-period analyzed. Further, we ask whether a trader can use the predictive power of technical analysis to beat the profitability of the buy-and-hold strategy considering both transaction costs and risk.  Designing four strategies of various trading rules, we conclude that it is possible to beat the buy-and-hold strategy even considering transaction costs and risk.

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Author Biography

Massoud Metghalchi, University of Houston - Victoria

Professor of finance, school of business administration

References

References

Alexander, S. (1964), “Price Movements in Speculative Markets: Trends or Random Walks”, Industrial Management Review, 2, 25-46.

Bessembinder, H. and Chan, K. (1995), “The Profitability of Technical Trading Rules in the Asian Stock Markets”, Pacific-Basin Finance Journal, 1995, 3, 257-284.

Bessembinder, H. and Chan, K. (1998), “Market Efficiency and Returns to Technical Analysis”, Financial Management, 27, (2), 5-17.

Brock, W., Lakonishok, J., and LeBaron, B.(1992), “Simple Technical Trading Rules and the Stochastic Properties of Stock Returns”, Journal of Finance, 47, 1731-64.

Chang, Y., Metghalchi, M. and Chan, C. (2006), “Technical Trading Strategies and Cross-national Information Linkage: The Case of Taiwan Stock Market”, Applied Financial Economics, Vol. 16, 731-743.

Chong, T., Cheng, S. & Wong, E. (2010), “Comparison of Stock Market Efficiency of the BRIC Countries”, Technology and Investment, 1, 235 – 238.

Coutts, A., and Cheung, K.C. (2000), “Trading rules and stock returns: some preliminary short run evidence from the Hang Seng 1985-1997”, Applied Financial Economics, 10, 579-686.

Domowitz, I., Glen, J, and A. Madhaven. (2001), “Liquidity, Volatility, and Equity Trading Costs Across Countries and Over Time”, International Finance, 4 (2), 221-255.

Draper, P. and Paudyal K. (1997), “Microstructure and seasonality in the UK equity market”, Journal of Business Finance and Accounting, 24, 1177-1204.

Dunis, C. and Chen, Y.X. (2005), “Alternative Relative Models for Risk Management and Trading: An Application to the EUR/USD and UDS/JPY Rates”. Derivatives Use, Trading & Regulations, 11, 126-156.

Ergul, A., Holmes, P., and Priestley, R. (1997), “Technical Analysis, Trading Volume and Market Efficiency: Evidence from an Emerging Market”, Applied Financial Economics, 7, 361-65.

Fama, E. (1965), “The Behavior of Stock Market Prices”, Journal of Business, 38, 34-105.

Fama, E. and Blume, M. (1966), “Filter Rules and Stock Market Trading Profits”, Journal of Business, 39, 226-341.

Fama, E. (1970), “Efficient Capital Markets: A review of theory and empirical work”, Journal of Finance, 25, 383-417.

Friesen, G.C., Weller, P.A. & Dunham, L.M. (2009), “Price Trend and Patterns in Technical Analysis: A Theoretical and Empirical Examination”, Journal of Banking and Finance, 33, 1089-1100.

Gencay, R. (1998a), “Optimization of Technical trading strategies and profitability in Security Markets”, Economics Letters, 59 (2), 249-254.

Gencay, R. (1998b), “The Predictability of Security Returns with Simple Technical Trading Rules”, Journal of Empirical Finance, 5 (4), 347-359.

Granger, C. and Morgenstern, O. (1963), “Spectral Analysis of New York Stock Market Prices”, Kyklos, 16, 1-27.

Hsu, P. H., and Kuan, C. M. (2005), “Re-Examining the Profitability of Technical Analysis with White’s Reality Check,” Journal of Financial Econometrics, 3(4), 606-628.

Hudson, R., Dempsey, M., and Keasey, K. (1996), “A Note on weak Form of Efficiency of Capital Markets: The Application of Simple Technical trading Rules to UK Stock Prices- 1935 to 1994”, Journal of Banking and Finance, (20), 1121-1132.

Jensen, M. and Benington, G. (1970), “Random Walks and Technical Theories: Some Additional Evidence”, Journal of Finance, 25, 469-82.

Kwon, K. and Kish, R. (2002), “Technical Trading Strategies and Return Predictability: NYSE”, Applied Financial Economics, 2002, 12, 639-53.

Larson, A. (1960), “Measurement of Random Process in Futures Prices”, Food Research Institute, 1, 313-24.

Lento, C. (2007), “Tests of Technical Trading Rules in the Asian-Pacific Equity Markets: A Bootstrap Approach”. Academy of Accounting & Financial Studies Journal, 11(2): 51-73.

Lesmond, D, Schill, M, and Zhou, C. (2004), “The illusory nature of momentum profits”, Journal of Financial Economics 71, 349–380

Lukac, L. P. Brorsen, B. W. & Irwin S.H. (1988), “A Test of Futures Market Disequilibrium Using Twelve Different Technical Trading Systems”, Applied Economics, 20, 623-639.

Mandelbrot, B. (1963), “The Variation of Certain Speculative Prices”, Journal of Business, 36, 394-419.

Menkhoff, L. and Taylor, M. (2007), “The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis”, Journal of Economic Literature; Dec, Vol. 45 Issue 4, 936-972

Metghalchi, M., Chang, Y. & Marcucci, Y. (2008), “Is the Swedish Stock Market Efficient? Evidence from some Simple Trading Rules”, International Review of Financial Analysis, 17(3): 475- 490.

Metghalchi, M., Chang, Y. & Marcucci, Y. (2012), “Are moving average trading rules profitable? Evidence from the European stock markets”, Applied Economics, 12, 1539-1559.

Milionis, A. E. & Papanagiotou, E. (2011), “A test of significance of the predictive power of the moving average trading rule of technical analysis based on sensitivity analysis: application to the NYSE, the Athens Stock Exchange and the Vienna Stock Exchange. Implications for weak-form market”, Applied Financial Economics, 21 (6), 421-436

Mills, T.C. and Coutts, J.A.(1995), “Calendar effects in the London Stock Exchange FT-SE Indices”, European Journal of Finance, 1, 79-93.

Osborne, M. (1962), “Periodic Structure in the Brownian Motion of Stock Prices”, Operations Research, 10, 345-79.

Park, C. H., and Irwin, S. H. (2007), “What Do We Know about the Profitability of Technical Analysis?” Journal of Economic Surveys, 21(4), 786-826.

Pring, M.J. (1991), “Technical Analysis: Explained,” McGraw-Hill Co.

Pruitt, S. and White, R. (1998), “The CRISMA Trading System: Who Says Technical Analysis Can’t Beat the Market?” Journal of Portfolio Management, 14, (3), 55-58.

Raj, M. and Thurston, D. (1996), “Effectiveness of simple technical trading rules in the Hong Kong futures markets”, Applied Economics Letters, 3, 33-36.

Ratner, M. and Leal, R.P.C. (1999), “Test of Technical Trading Strategies in the Emerging Equity Markets of Latin America and Asia” Journal of Banking and Finance, 23 (1), 1887-1905.

Ready, M. (2002), Profits from Technical Trading Rules”, Financial Management, autumn, pp. 43-61.

Sweeney, R. (1986), “Beating the Foreign Exchange Market”. Journal of Finance, 41, 163-182.

Szakmary, A., Davidson, W.N., and Schwarz T.V. (1999), “Filter Tests in Nasdaq Stocks”, The Financial Review, 34, 45-70.

Van Horn, J.C. and Parker, G.C. (1967), “The Random Walk Theory: an Empirical Test”, Financial Analyst Journal, 23, 87-92.

Wilder, W. (1978), “New Concepts in Technical Analysis, Trend Research”, McLeansville, NC

Zhou, Y. and Zhou, G. (2009), “Technical Analysis: An Asset allocation Perspective on the Use of Moving Averages”, Journal of Financial Economics, Vol. 92, 519-544.