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Co-movement of the Chinese and U.S. aggregate stock returns

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  • Qianqian Wang
  • Choi

Abstract

This article studies the co-movement of the levels, as well as of the volatilities, of the Chinese and U.S. aggregate stock returns in 1995-2014, focusing on the impact of the liberalization of Chinese stock market from 2005. The volatilities of the two returns appear to have started to co-move in 2006. To understand the co-movement, we use the GARCH BEKK method. The result suggests that before 2006, the evolution of the U.S. returns had a tendency to affect the Chinese returns in level and volatility. However, after 2006, the two returns affected each other in a more complex way.

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  • Qianqian Wang & Choi, 2015. "Co-movement of the Chinese and U.S. aggregate stock returns," Applied Economics, Taylor & Francis Journals, vol. 47(50), pages 5337-5353, October.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:50:p:5337-5353
    DOI: 10.1080/00036846.2015.1047090
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    1. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    2. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    3. Hu, Jian, 2008. "Dependence Structures in Chinese and U.S. Financial Markets -- A Time-varying Conditional Copula Approach," MPRA Paper 11401, University Library of Munich, Germany.
    4. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Braun, Phillip A. & Mittnik, Stefan, 1993. "Misspecifications in vector autoregressions and their effects on impulse responses and variance decompositions," Journal of Econometrics, Elsevier, vol. 59(3), pages 319-341, October.
    7. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    8. Jian Hu, 2010. "Dependence structures in Chinese and US financial markets: a time-varying conditional copula approach," Applied Financial Economics, Taylor & Francis Journals, vol. 20(7), pages 561-583.
    9. He, Hongbo & Chen, Shou & Yao, Shujie & Ou, Jinghua, 2014. "Financial liberalisation and international market interdependence: Evidence from China’s stock market in the post-WTO accession period," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 434-444.
    10. Bae, Kee-Hong & Andrew Karolyi, G., 1995. "Good news, band news and international spilovers of stock return volatility between Japan and the U.S," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 144-144, May.
    11. Chen, Gongmeng & Firth, Michael & Gao, Daniel N. & Rui, Oliver M., 2006. "Ownership structure, corporate governance, and fraud: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 12(3), pages 424-448, June.
    12. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    13. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
    14. Campbell, John Y & Ammer, John, 1993. "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
    15. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    16. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    17. Wenxuan Hou & Edward Lee, 2014. "Split Share Structure Reform, corporate governance, and the foreign share discount puzzle in China," The European Journal of Finance, Taylor & Francis Journals, vol. 20(7-9), pages 703-727, September.
    18. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454-454, October.
    19. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
    20. Hong Li, 2007. "International linkages of the Chinese stock exchanges: a multivariate GARCH analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 17(4), pages 285-297.
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    2. Huang, Junbo & Tian, Huiting & Shen, Weibing, 2023. "Characteristics and mechanisms of the U.S. stock market spillover effects on the Chinese A-share market: Evidence from 6 A-share broad-based and 31 sector indices," International Review of Financial Analysis, Elsevier, vol. 87(C).
    3. Dutta, Anupam, 2018. "Implied volatility linkages between the U.S. and emerging equity markets: A note," Global Finance Journal, Elsevier, vol. 35(C), pages 138-146.

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