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Return transmission among stock markets of Greater China

Author

Listed:
  • Chan, W.S.
  • Lo, Harry W.C.
  • Cheung, S.H.

Abstract

In this article we study the return transmission among stock markets in Greater China – Mainland China (Shanghai, Shenzhen), Hong Kong and Taiwan – a region which has been enjoying tremendous growth and expansion in the economies and capital markets in the last decade. Using a multiple time series approach we identify explicitly the lead–lag interaction among these markets. The estimation results show that significant multivariate structures are present. These structures can reduce the residual standard error and improve the fit over the univariate models.

Suggested Citation

  • Chan, W.S. & Lo, Harry W.C. & Cheung, S.H., 1999. "Return transmission among stock markets of Greater China," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 511-518.
    • Handle: RePEc:eee:matcom:v:48:y:1999:i:4:p:511-518
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    References listed on IDEAS

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    1. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 241-256, June.
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    Cited by:

    1. Soofi, Abdol S. & Moussavi, Saadat, 2004. "Transmissions of real economic shocks across the Pacific Rim economies," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 959-972, December.
    2. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    3. W.C Lo & W.S. Chan, 2000. "Diagnosing Shocks in Stock Market Returns of Greater China," Multinational Finance Journal, Multinational Finance Journal, vol. 4(3-4), pages 269-288, September.
    4. Hatemi-J, Abdulnasser & Roca, Eduardo D., 2004. "Do birds of the same feather flock together?: The case of the Chinese states equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(3), pages 281-294, July.

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