DOI QR코드

DOI QR Code

A study on the information transfer effect among the China stock markets

중국증권시장의 정보이전효과에 관한 연구

  • Lee, Sang-Woo (Department of Business Administration, Jeonju University) ;
  • Lee, Eui-Kyung (Department of Business Administration, Daejin University)
  • Received : 2012.09.05
  • Accepted : 2012.10.25
  • Published : 2012.11.30

Abstract

This study examines stock market co-movement among three China stock markets: Shanghai stock market, Shenzhen stock market, Hongkong stock market. US stock market leads three China stock markets and Honkong stock market leads Shanghai and Shenzhen stock market. But there are no lead-lag effects among China stock markets after controlling US stock market effect. These results could be important for the investors and firms that are interested in China stock markets.

본 논문은 중국의 상해, 심천, 홍콩증권시장간의 정보이전효과를 연구한 것이다. 세 개의 중국 증권시장은 모두 미국의 증권시장수익률에 강하게 영향을 받는데 그 정도는 개방화가 제일 잘된 홍콩증권시장이 가장 크며 상해증권시장, 심천증권시장의 순으로 영향을 받는 것으로 나타나고 있다. 상해증권시장이나 심천증권시장은 서로 간에 수익률이전효과나 변동성전이효과가 존재하지 않지만 이 두 시장은 모두 홍콩증권시장수익률의 영향을 받는 것으로 나타났다. 하지만 미국증권시장의 움직임을 통제하면 이러한 효과는 사라지게 되어 중국의 증권시장간의 정보이전효과는 존재하지 않는 것으로 나타나고 있다. 이러한 결론은 중국의 세 개의 증권시장이 상호독립적인 성격이 강하다는 것을 의미하며, 중국의 증권시장 연구 시 시장 간의 독립성을 반영해야 할 것으로 생각된다.

Keywords

References

  1. Becker, K. G., Finnerty J. E. and Gupta, M. (1990). The intertemporal relation between the U. S. and Japanese stock markets. Journal of Finance, 45, 1297-1306.
  2. Bollerslev, T. (1987). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31, 307-327.
  3. Engle, R. F., Lilien, D. M. and Robins, R. P. (1987). Estimating time varying risk premia in the term structure: The ARCH-M model. Econometrica, 50, 391-407.
  4. Hamao, Y., Masulis, R. W. and Ng, V. (1990). Correlations in price changes and volatility across international stock markets. Review of Financial Studies, 3, 281-307. https://doi.org/10.1093/rfs/3.2.281
  5. Jung, J., Lim, J. and Jei, S. Y.(2012). Comparative study of the spill-over in the conditional volatility and dynamic conditional correlation of various stock markets. The Korean Journal of Financial Engineering, 11, 1-16.
  6. Jung, J. M. and Jung, T. Y. (2010). Stock market co-movement between Korea and China. The Korean Journal of Financial Management, 27, 119-149.
  7. Kim, K. W. and Moon, G. H. (2010). Comparison of the spillover effects of the US and Chinese stock markets on the Korean stock market between in the pre-global financial crisis sub-sample period and in the post-global financial crisis sub-sample period. The Korean Journal of International Business, 21, 31-49.
  8. Kim, T. Y. and Kwon, O. J. (2011). Confidence interval forecast of exchange rate based on bootstrap method during economic crisis. Journal of the Korean Data & Information Science Society, 22, 895-902.
  9. Koutmos, G. and Booth, G. G. (1995). Asymmetric volatility transmission in international stock markets. Journal of International Money and Finance, 14, 747-762. https://doi.org/10.1016/0261-5606(95)00031-3
  10. Yi, D. W. (2009). The international spillover effect among China, Japan and Korea stock market with GARCH and GJR-GARCH. The Korean Journal of Corporate Management, 16, 137-148.

Cited by

  1. A study on the relationship between the onshore and offshore Chinese Yuan markets vol.26, pp.6, 2015, https://doi.org/10.7465/jkdi.2015.26.6.1387
  2. Dependence structure analysis of KOSPI and NYSE based on time-varying copula models vol.24, pp.6, 2013, https://doi.org/10.7465/jkdi.2013.24.6.1477
  3. The Co-movement of Dually Listed Stocks in the Shanghai and Hong Kong Stock Market vol.12, pp.3, 2015, https://doi.org/10.17092/jibr.2015.12.3.489