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A technical approach to equity investing in emerging markets

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  • Massoud Metghalchi
  • Linda A. Hayes
  • Farhang Niroomand

Abstract

Technical analysis (TA) is used in evaluating its predictive power for the Morgan Stanley Capital International (MSCI) Emerging Market Index (EMI) that reflects 23 emerging market economies’ equity indices. We conclude strong predictive power of technical analysis for the EMI. Given this predictive power of TA, we then investigate whether investors can exploit this predictive power to beat the profitability of the Buy‐and‐Hold strategy considering both risk and transaction costs. Applying Moving Average, Relative Strength Index, Moving Average Convergence Divergence, and Rate of Change trading rules to the MSCI Emerging Market Index over the period of 11/1/1988 to 5/1/2017 reveals strong empirical evidence that investors could use TA to out‐perform the Buy‐and‐Hold strategy even when considering risk and transaction costs. This research provides evidence against the Efficient Market Hypothesis for EMI.

Suggested Citation

  • Massoud Metghalchi & Linda A. Hayes & Farhang Niroomand, 2019. "A technical approach to equity investing in emerging markets," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 389-403, July.
  • Handle: RePEc:wly:revfec:v:37:y:2019:i:3:p:389-403
    DOI: 10.1002/rfe.1041
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    as
    1. Sweeney, Richard J, 1986. "Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
    2. Andrei Shynkevich, 2016. "Predictability of equity returns during a financial crisis," Applied Economics Letters, Taylor & Francis Journals, vol. 23(17), pages 1201-1205, November.
    3. Nauzer Balsara & Jason Chen & Lin Zheng, 2009. "Profiting from a contrarian application of technical trading rules in the US stock market," Journal of Asset Management, Palgrave Macmillan, vol. 10(2), pages 97-123, June.
    4. Hendrik Bessembinder & Kalok Chan, 1998. "Market Efficiency and the Returns to Technical Analysis," Financial Management, Financial Management Association, vol. 27(2), Summer.
    5. Ratner, Mitchell & Leal, Ricardo P. C., 1999. "Tests of technical trading strategies in the emerging equity markets of Latin America and Asia," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1887-1905, December.
    6. Cheng-Wei Chen & Chin-Sheng Huang & Hung-Wei Lai, 2011. "Data Snooping on Technical Analysis: Evidence from the Taiwan Stock Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 195-212.
    7. Himmelmann, A. & Schiereck, D. & Simpson, M. & Zschoche, M., 2012. "Long-term Reactions to Large Stock Price Declines and Increases in the European Stock Market: A Note on Market Efficiency," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56463, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Jiali Fang & Ben Jacobsen & Yafeng Qin, 2014. "Predictability of the simple technical trading rules: An out‐of‐sample test," Review of Financial Economics, John Wiley & Sons, vol. 23(1), pages 30-45, January.
    9. Panha Heng & Scott J. Niblock, 2014. "Trading with Tigers: A Technical Analysis of Southeast Asian Stock Index Futures," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 679-692, December.
    10. Lesmond, David A. & Schill, Michael J. & Zhou, Chunsheng, 2004. "The illusory nature of momentum profits," Journal of Financial Economics, Elsevier, vol. 71(2), pages 349-380, February.
    11. Gili Yen & Cheng-few Lee, 2008. "Efficient Market Hypothesis (EMH): Past, Present and Future," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 305-329.
    12. 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, September.
    13. A. E. Milionis & E. Papanagiotou, 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," Applied Financial Economics, Taylor & Francis Journals, vol. 21(6), pages 421-436.
    14. repec:bla:intfin:v:4:y:2001:i:2:p:221-55 is not listed on IDEAS
    15. Mobarek, Asma & Fiorante, Angelo, 2014. "The prospects of BRIC countries: Testing weak-form market efficiency," Research in International Business and Finance, Elsevier, vol. 30(C), pages 217-232.
    16. 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.
    17. Thapa, Chandra & Poshakwale, Sunil S., 2010. "International equity portfolio allocations and transaction costs," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2627-2638, November.
    18. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
    19. Jackson, Antony & Ladley, Daniel, 2016. "Market ecologies: The effect of information on the interaction and profitability of technical trading strategies," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 270-280.
    20. Achim Himmelmann & Dirk Schiereck & Marc Simpson & Moritz Zschoche, 2012. "Long-term reactions to large stock price declines and increases in the European stock market: a note on market efficiency," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 400-423, April.
    21. 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.
    22. Himmelmann, A. & Schiereck, D. & Simpson, M. & Zschoche, M., 2012. "Long-term Reactions to Large Stock Price Declines and Increases in the European Stock Market: A Note on Market Efficiency," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 60412, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    23. Schulmeister, Stephan, 2009. "Profitability of technical stock trading: Has it moved from daily to intraday data?," Review of Financial Economics, Elsevier, vol. 18(4), pages 190-201, October.
    24. Metghalchi, Massoud & Chen, Chien-Ping & Hayes, Linda A., 2015. "History of share prices and market efficiency of the Madrid general stock index," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 178-184.
    25. Ian Domowitz & Jack Glen & Ananth Madhavan, 2001. "Liquidity, Volatility and Equity Trading Costs Across Countries and Over Time," International Finance, Wiley Blackwell, vol. 4(2), pages 221-255.
    26. Massoud Metghalchi & Juri Marcucci & Yung-Ho Chang, 2012. "Are moving average trading rules profitable? Evidence from the European stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1539-1559, April.
    27. Eero P䴤ri & Mika Vilska, 2014. "Performance of moving average trading strategies over varying stock market conditions: the Finnish evidence," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2851-2872, August.
    28. German Creamer & Yoav Freund, 2010. "Automated trading with boosting and expert weighting," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 401-420.
    29. Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
    30. Friesen, Geoffrey C. & Weller, Paul A. & Dunham, Lee M., 2009. "Price trends and patterns in technical analysis: A theoretical and empirical examination," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1089-1100, June.
    31. Bessembinder, Hendrik & Chan, Kalok, 1995. "The profitability of technical trading rules in the Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 257-284, July.
    32. 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.
    33. Wassim Dbouk & Ibrahim Jamali & Khaled Soufani, 2014. "The Effectiveness of Technical Trading for Arab Stocks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(4), pages 5-25.
    34. Kong‐Jun Chen & Xiao‐Ming Li, 2006. "Is Technical Analysis Useful For Stock Traders In China? Evidence From The Szse Component A‐Share Index," Pacific Economic Review, Wiley Blackwell, vol. 11(4), pages 477-488, December.
    35. Pyemo N. Afego, 2015. "Market efficiency in developing African stock markets: what do we know?," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(1), pages 243-266, January-M.
    36. Ben R. Marshall & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2017. "Time series momentum and moving average trading rules," Quantitative Finance, Taylor & Francis Journals, vol. 17(3), pages 405-421, March.
    37. Terence Tai-Leung Chong & Wing-Kam Ng, 2008. "Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1111-1114.
    38. Yung-Ho Chang & Massoud Metghalchi & Chia-Chung Chan, 2006. "Technical trading strategies and cross-national information linkage: the case of Taiwan stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(10), pages 731-743.
    39. Yu, Hao & Nartea, Gilbert V. & Gan, Christopher & Yao, Lee J., 2013. "Predictive ability and profitability of simple technical trading rules: Recent evidence from Southeast Asian stock markets," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 356-371.
    40. 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.
    41. 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.
    42. Andrei Shynkevich, 2017. "Return predictability in emerging equity market sectors," Applied Economics, Taylor & Francis Journals, vol. 49(5), pages 433-445, January.
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