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Price and volatility spillovers between the Greater China Markets and the developed markets of US and Japan

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  • Wang, Ping
  • Wang, Peijie

Abstract

In this paper, we have examined stock market linkages between Greater China and the US and Japan in terms of volatility and price spillovers, yielding a few findings, with most of them either offering new evidence or challenging the results in the previous research, and the rest consolidating previous stylish conclusions. It has been established that volatility spillovers are stronger than price spillovers between the Greater China markets and the developed markets of the US and Japan. The dominance effect of developed markets over developing markets does not show up in the present study. Moreover, the extent of influence by the developed market on the developing market is found to be associated with the degree of market openness of the developing economy.

Suggested Citation

  • Wang, Ping & Wang, Peijie, 2010. "Price and volatility spillovers between the Greater China Markets and the developed markets of US and Japan," Global Finance Journal, Elsevier, vol. 21(3), pages 304-317.
    • Handle: RePEc:eee:glofin:v:21:y:2010:i:3:p:304-317
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    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. John Wei, K. C. & Liu, Yu-Jane & Yang, Chau-Chen & Chaung, Guey-Shiang, 1995. "Volatility and price change spillover effects across the developed and emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 113-136, May.
    3. Wang, Steven Shuye & Firth, Michael, 2004. "Do bears and bulls swim across oceans? Market information transmission between greater China and the rest of the world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(3), pages 235-254, July.
    4. Miyakoshi, Tatsuyoshi, 2003. "Spillovers of stock return volatility to Asian equity markets from Japan and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(4), pages 383-399, October.
    5. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    6. Lin, Wen-Ling & Engle, Robert F & Ito, Takatoshi, 1994. "Do Bulls and Bears Move across Borders? International Transmission of Stock Returns and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 507-538.
    7. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    8. Ng, Angela, 2000. "Volatility spillover effects from Japan and the US to the Pacific-Basin," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 207-233, April.
    9. Lee, Bong-Soo & Rui, Oliver Meng & Wang, Steven Shuye, 2004. "Information transmission between the NASDAQ and Asian second board markets," Journal of Banking & Finance, Elsevier, vol. 28(7), pages 1637-1670, July.
    10. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
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