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Buy and sell signals on Bucharest Stock Exchange

Author

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  • Stefanescu, Răzvan
  • Dumitriu, Ramona

Abstract

Trading rules of the technical analysis are widely used in investing on the capital markets. However, prediction of the financial markets movements based on their past evolutions is in contradiction with the principles of the Efficient Market Hypothesis. In case of the emerging markets, the impact of the development markets evolutions could also be taken into consideration in establishing the trading rules. In this paper we investigate the efficiency of three simple trading rules on Romanian capital market. Two of them, Variable-Length Moving Average and Bollinger Bands, belong to the technical analysis methods, while the third is based on the impact of the shocks from New York Stock Exchange. The results indicate some significant differences between these methods of shocks’ identification.

Suggested Citation

  • Stefanescu, Răzvan & Dumitriu, Ramona, 2015. "Buy and sell signals on Bucharest Stock Exchange," MPRA Paper 89014, University Library of Munich, Germany, revised 05 Jan 2016.
    • Handle: RePEc:pra:mprapa:89014
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    References listed on IDEAS

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    1. Salih N. Neftci & Andrew J. Policano, 1984. "Can chartists outperform the market? market efficiency tests for “technical analysis”," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 4(4), pages 465-478, December.
    2. Park, Cheol-Ho & Irwin, Scott H., 2004. "The Profitability of Technical Analysis: A Review," AgMAS Project Research Reports 37487, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    3. Kidd, Willis V. & Brorsen, B. Wade, 2004. "Why have the returns to technical analysis decreased?," Journal of Economics and Business, Elsevier, vol. 56(3), pages 159-176.
    4. Bertrand Maillet & Thierry Michel, 2000. "Further insights on the puzzle of technical analysis profitability," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 196-224.
    5. Gencay, Ramazan, 1998. "The predictability of security returns with simple technical trading rules," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 347-359, October.
    6. Joseph Man-Joe Leung & Terence Tai-Leung Chong, 2003. "An empirical comparison of moving average envelopes and Bollinger Bands," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 339-341.
    7. Treynor, Jack L & Ferguson, Robert, 1985. "In Defense of Technical Analysis," Journal of Finance, American Finance Association, vol. 40(3), pages 757-773, July.
    8. Gunasekarage, Abeyratna & Power, David M., 2001. "The profitability of moving average trading rules in South Asian stock markets," Emerging Markets Review, Elsevier, vol. 2(1), pages 17-33, March.
    9. Cumby, Robert E. & Modest, David M., 1987. "Testing for market timing ability : A framework for forecast evaluation," Journal of Financial Economics, Elsevier, vol. 19(1), pages 169-189, September.
    10. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    11. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
    12. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    13. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    14. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    15. Knez, Peter J & Ready, Mark J, 1996. "Estimating the Profits from Trading Strategies," The Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1121-1163.
    16. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    17. Froot, Kenneth A & Scharftstein, David S & Stein, Jeremy C, 1992. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," Journal of Finance, American Finance Association, vol. 47(4), pages 1461-1484, September.
    18. Marshall, Ben R. & Cahan, Rochester H. & Cahan, Jared M., 2008. "Does intraday technical analysis in the U.S. equity market have value?," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 199-210, March.
    19. 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.
    20. Bertrand Maillet & Thierry Michel, 2000. "Further Insights on the Puzzle of Technical Analysis Profitability," Post-Print hal-00308986, HAL.
    21. repec:bla:jfinan:v:55:y:2000:i:4:p:1705-1770 is not listed on IDEAS
    22. Shefrin, Hersh, 2008. "A Behavioral Approach to Asset Pricing," Elsevier Monographs, Elsevier, edition 2, number 9780123743565.
    23. Chowdhury, Abdur R., 1994. "Stock market interdependencies: Evidence from the asian NIEs," Journal of Macroeconomics, Elsevier, vol. 16(4), pages 629-651.
    24. Bekaert, Geert & Harvey, Campbell R, 1995. "Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    25. Stephan Schulmeister, 2008. "Components of the profitability of technical currency trading," Applied Financial Economics, Taylor & Francis Journals, vol. 18(11), pages 917-930.
    26. Metghalchi, Massoud & Chang, Yung-Ho & Marcucci, Juri, 2008. "Is the Swedish stock market efficient? Evidence from some simple trading rules," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 475-490, June.
    27. Anil Sharma & Neha Seth, 2012. "Literature review of stock market integration: a global perspective," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 4(1), pages 84-122, April.
    28. Elaine Loh, 2004. "Technical Trading Rules and Market Efficiency: Evidence from the Australian Stock Exchange 1980-2002," Economics Discussion / Working Papers 04-14, The University of Western Australia, Department of Economics.
    29. Parisi, Franco & Vasquez, Alejandra, 2000. "Simple technical trading rules of stock returns: evidence from 1987 to 1998 in Chile," Emerging Markets Review, Elsevier, vol. 1(2), pages 152-164, September.
    30. Jensen, Michael C & Bennington, George A, 1970. "Random Walks and Technical Theories: Some Additional Evidence," Journal of Finance, American Finance Association, vol. 25(2), pages 469-482, May.
    31. Vance L. Martin & Mardi Dungey, 2007. "Unravelling financial market linkages during crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 89-119.
    32. Razvan Stefanescu & Ramona Dumitriu, 2015. "Impact Of The Shocks From Nyse On The Romanian Capital Markets," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 371-376.
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    More about this item

    Keywords

    Capital markets; Technical Analysis; Emerging Market Integration;
    All these keywords.

    JEL classification:

    • F30 - International Economics - - International Finance - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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