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Do the technical indicators reward chartists? A study on the stock markets of China, Hong Kong and Taiwan

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  • Wong, Wing-Keung
  • Du, Jun
  • Chong, Terence Tai-Leung

Abstract

This paper studies the profitability of applying technical analysis that signals the entry and exit from the stock market in three Chinese stock markets - the Shanghai, Hong Kong and Taiwan Stock Exchanges. The Simple Moving Average (MA) and its extensions, Exponential MA, Dual MA, Triple MA, MACD and TRIX for both long and short strategies are examined. Applying the trading signals generated by the MA family to the Greater China markets, significantly positive returns are generated, which outperform the buy-and-hold strategy. The cumulative wealth obtained also surpasses that of the buy-and-hold strategy regardless of transaction costs. In addition, we study the performance of the MA family before and after the 1997 Asian Financial Crisis and find that the MA family works well in both sub-periods and in different market conditions of bull runs, bear markets and mixed markets. That technical analysis can forecast the directions of these markets implies that the three China stock markets are not efficient.

Suggested Citation

  • Wong, Wing-Keung & Du, Jun & Chong, Terence Tai-Leung, 2005. "Do the technical indicators reward chartists? A study on the stock markets of China, Hong Kong and Taiwan," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 1(2), pages 1-23.
    • Handle: RePEc:ags:reapec:50272
    DOI: 10.22004/ag.econ.50272
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    Cited by:

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    2. Chen & Jo-Hui & Hussain & Sabbor & Chen & Fu-Ying, 2023. "The Relationship between VIX and Technical Indicator: The Analysis of Shared-Frailty Model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-5.
    3. Zhu, Hong & Jiang, Zhi-Qiang & Li, Sai-Ping & Zhou, Wei-Xing, 2015. "Profitability of simple technical trading rules of Chinese stock exchange indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 75-84.

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    More about this item

    Keywords

    Financial Economics;

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C0 - Mathematical and Quantitative Methods - - General

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