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The profitability of regression-based trading rules for the Shanghai stock market

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Author Info

  • Groenewold, Nicolaas
  • Kan Tang, Sam Hak
  • Wu, Yanrui

Abstract

This paper uses daily Shanghai A share data to evaluate the profitability of trading rules based on the predictability found in the return series. We find that the value of the trading-rule-based portfolio at the end of our sample is between 2 and 11 times that of an equity-buy-and-hold portfolio. We assess the robustness of the results in various ways: by carrying out various statistical tests, by varying the period over which the evaluation is carried out, by using a recursive estimation procedure for the forecasting equation, by incorporating transactions costs, and by considering weekly and monthly data.

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File URL: http://www.sciencedirect.com/science/article/B6W4W-4JDN6JT-4/1/b7574fe758127e44ae279e6ef22620f7
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Bibliographic Info

Article provided by Elsevier in its journal International Review of Financial Analysis.

Volume (Year): 17 (2008)
Issue (Month): 2 ()
Pages: 411-430

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Handle: RePEc:eee:finana:v:17:y:2008:i:2:p:411-430

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Web page: http://www.elsevier.com/locate/inca/620166

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References

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  1. Pesaran, M.H. & Timmermann, A., 1990. "A Simple Non-Parametric Test Of Predictive Performance," Papers 29, California Los Angeles - Applied Econometrics.
  2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  3. 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.
  4. Pesaran, M Hashem & Timmermann, Allan, 1995. " Predictability of Stock Returns: Robustness and Economic Significance," Journal of Finance, American Finance Association, vol. 50(4), pages 1201-28, September.
  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. Kang, Joseph & Liu, Ming-Hua & Ni, Sophie Xiaoyan, 2002. "Contrarian and momentum strategies in the China stock market: 1993-2000," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 243-265, June.
  7. Clare, A D & Thomas, S H & Wickens, M R, 1994. "Is the Gilt-Equity Yield Ratio Useful for Predicting UK Stock Returns?," Economic Journal, Royal Economic Society, vol. 104(423), pages 303-15, March.
  8. Pesaran, M Hashem & Timmermann, Allan, 2000. "A Recursive Modelling Approach to Predicting UK Stock Returns," Economic Journal, Royal Economic Society, vol. 110(460), pages 159-91, January.
  9. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-617, December.
  10. 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.
  11. 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.
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Cited by:
  1. Onali, Enrico & Goddard, John, 2009. "Unifractality and multifractality in the Italian stock market," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 154-163, September.

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