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Technical trading strategies and cross-national information linkage: the case of Taiwan stock market

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  • Yung-Ho Chang
  • Massoud Metghalchi
  • Chia-Chung Chan

Abstract

This study tests four prevalent moving average technical trading rules for Taiwan stock markets. More notably, cross-national information from the US stock markets is also incorporated in our technical trading rules to project Taiwan stock market movements. We then design trading strategies and investigate their predictive power over buy-and-hold strategy. Our results suggest that technical trading rules are predictive for Taiwan stock markets. Applying the information reflected in the US stock markets to project Taiwan stock market movements is comparable to using Taiwan stock market information in isolation because these two markets are strongly correlated. Finally our results indicate that Leverage/Money strategy helps investors to beat buy-and-hold strategy.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:apfiec:v:16:y:2006:i:10:p:731-743
    DOI: 10.1080/09603100500426374
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    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Hendrik Bessembinder & Kalok Chan, 1998. "Market Efficiency and the Returns to Technical Analysis," Financial Management, Financial Management Association, vol. 27(2), Summer.
    3. 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.
    4. Mark J Ready, 2002. "Profits from Technical Trading Rules," Financial Management, Financial Management Association, vol. 31(3), Fall.
    5. A. Antoniou & N. Ergul & P. Holmes & R. Priestley, 1997. "Technical analysis, trading volume and market efficiency: evidence from an emerging market," Applied Financial Economics, Taylor & Francis Journals, vol. 7(4), pages 361-365.
    6. Gencay, Ramazan, 1998. "Optimization of technical trading strategies and the profitability in security markets," Economics Letters, Elsevier, vol. 59(2), pages 249-254, May.
    7. Shleifer, Andrei, 2000. "Inefficient Markets: An Introduction to Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780198292272.
    8. Alan Goodacre & Jacqueline Bosher & Andrew Dove, 1999. "Testing the CRISMA trading system: evidence from the UK market," Applied Financial Economics, Taylor & Francis Journals, vol. 9(5), pages 455-468.
    9. Conrad, Jennifer & Kaul, Gautam, 1998. "An Anatomy of Trading Strategies," The Review of Financial Studies, Society for Financial Studies, vol. 11(3), pages 489-519.
    10. 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.
    11. Simon Sosvilla-Rivero & Julian Andrada-Felix & Fernando Fernandez-Rodriguez, 2002. "Further evidence on technical trade profitability and foreign exchange intervention," Applied Economics Letters, Taylor & Francis Journals, vol. 9(12), pages 827-832.
    12. Wing-Keung Wong & Meher Manzur & Boon-Kiat Chew, 2003. "How rewarding is technical analysis? Evidence from Singapore stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 13(7), pages 543-551.
    13. Allen, Helen & Taylor, Mark P, 1990. "Charts, Noise and Fundamentals in the London Foreign Exchange Market," Economic Journal, Royal Economic Society, vol. 100(400), pages 49-59, Supplemen.
    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. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
    16. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    17. Ki-Yeol Kwon & Richard Kish, 2002. "Technical trading strategies and return predictability: NYSE," Applied Financial Economics, Taylor & Francis Journals, vol. 12(9), pages 639-653.
    18. Bernd Lucke, 2003. "Are technical trading rules profitable? Evidence for head-and-shoulder rules," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 33-40.
    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.
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    2. 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.
    3. Jogiyanto Hartono & Dedhy Sulistiawan, 2015. "Performance Of Technical Analysis In Declining Global Markets," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 9(2), pages 41-52.
    4. 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.
    5. Salma Khand & Vivake Anand & Mohammad Nadeem Qureshi, 2020. "The Predictability and Profitability of Simple Moving Averages and Trading Range Breakout Rules in the Pakistan Stock Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-38, March.
    6. 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.
    7. Stephan Schulmeister, 2007. "The Interaction Between the Aggregate Behaviour of Technical Trading Systems and Stock Price Dynamics," WIFO Working Papers 290, WIFO.

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