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Technical trading rules for nonlinear dynamics of stock returns: evidence from the G-7 stock markets

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  • Kwang-il Choe
  • Joshua Krausz
  • Kiseok Nam

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    File URL: http://hdl.handle.net/10.1007/s11156-010-0180-5
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    Bibliographic Info

    Article provided by Springer in its journal Review of Quantitative Finance and Accounting.

    Volume (Year): 36 (2011)
    Issue (Month): 3 (April)
    Pages: 323-353

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    Handle: RePEc:kap:rqfnac:v:36:y:2011:i:3:p:323-353

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    Web page: http://springerlink.metapress.com/link.asp?id=102990

    Related research

    Keywords: Technical trading strategies; Asymmetric reverting property; Nonlinear autoregressive models; Pacific Basin stock markets; C53; G10; G14;

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    1. Fernandez-Rodriguez, Fernando & Gonzalez-Martel, Christian & Sosvilla-Rivero, Simon, 2000. "On the profitability of technical trading rules based on artificial neural networks:: Evidence from the Madrid stock market," Economics Letters, Elsevier, vol. 69(1), pages 89-94, October.
    2. James K. Self, 2006. "Asymmetric Stationarity in National Stock Market Indices: An MTAR Analysis," The Journal of Business, University of Chicago Press, vol. 79(6), pages 3153-3174, November.
    3. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-25, March.
    4. Gu, Anthony Yanxiang & Finnerty, Joseph, 2002. " The Evolution of Market Efficiency: 103 Years Daily Data of the Dow," Review of Quantitative Finance and Accounting, Springer, vol. 18(3), pages 219-37, May.
    5. Gencay, Ramazan, 1999. "Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules," Journal of International Economics, Elsevier, vol. 47(1), pages 91-107, February.
    6. Christopher J. Neely & Paul A. Weller & Robert Dittmar, 1997. "Is technical analysis in the foreign exchange market profitable? a genetic programming approach," Working Papers 1996-006, Federal Reserve Bank of St. Louis.
    7. Christopher J. Neely & Paul A. Weller, 2001. "Intraday technical trading in the foreign exchange market," Working Papers 1999-016, Federal Reserve Bank of St. Louis.
    8. Claudio Bonilla & Rafael Romero-Meza & Melvin Hinich, 2006. "Episodic nonlinearity in Latin American stock market indices," Applied Economics Letters, Taylor & Francis Journals, vol. 13(3), pages 195-199.
    9. Michael, Panos & Nobay, A Robert & Peel, David A, 1997. "Transactions Costs and Nonlinear Adjustment in Real Exchange Rates: An Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 862-79, August.
    10. repec:ebl:ecbull:v:7:y:2005:i:1:p:1-6 is not listed on IDEAS
    11. Lim, Kian-Ping & Brooks, Robert D. & Kim, Jae H., 2008. "Financial crisis and stock market efficiency: Empirical evidence from Asian countries," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 571-591, June.
    12. Paul Weller & Christopher Neely, 1999. "Technical Analysis and Central Bank Intervention," Working Papers wp99-04, Warwick Business School, Finance Group.
    13. Gencay, R & Stengos, T, 1996. "Technical Trading Rules and the Size of the Risk Premium in Security Returns," Working Papers 1996-11, University of Guelph, Department of Economics and Finance.
    14. Warren Dean & Robert Faff, 2008. "Evidence of feedback trading with Markov switching regimes," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 133-151, February.
    15. 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 1731-64, December.
    16. Maasoumi, Esfandiar & Racine, Jeff, 2002. "Entropy and predictability of stock market returns," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 291-312, March.
    17. Kiseok Nam & Sei-Wan Kim & Augustine. Arize, 2006. "Mean Reversion of Short-Horizon Stock Returns: Asymmetry Property," Review of Quantitative Finance and Accounting, Springer, vol. 26(2), pages 137-163, March.
    18. Rafael Romero-Meza & Claudio Bonilla & Melvin Hinich, 2007. "Nonlinear event detection in the Chilean stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 14(13), pages 987-991.
    19. Lim, Kian-Ping & Brooks, Robert D. & Hinich, Melvin J., 2008. "Nonlinear serial dependence and the weak-form efficiency of Asian emerging stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 527-544, December.
    20. 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.
    21. Nam, Kiseok & Washer, Kenneth M. & Chu, Quentin C., 2005. "Asymmetric return dynamics and technical trading strategies," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 391-418, February.
    22. Nam, Kiseok & Pyun, Chong Soo & Arize, Augustine C., 2002. "Asymmetric mean-reversion and contrarian profits: ANST-GARCH approach," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 563-588, December.
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