Co-movements of Shanghai and New York Stock prices by time-varying regressions
AbstractWe estimate a time-varying regression model to study the relationship between returns in the Shanghai and New York stock markets, with possible inclusion of lagged returns. The parameters of the regressions reveal that the effect of the current stock return for New York on that for Shanghai steadily increases after the 1997 Asian financial crisis and turns significantly and persistently positive after 2002, when China entered WTO. The effect of the current return for Shanghai on New York also becomes significantly positive and increasing after 2002. The upward trend has been interrupted during the recent global financial crisis, but reaches the level of about 0.4 to 0.5 in 2010 for both markets. Our results show that China’s stock market has become more and more integrated into the world market in the past twenty years, with interruptions occurring during the recent global economic downturn.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Bank of Finland, Institute for Economies in Transition in its series BOFIT Discussion Papers with number 16/2011.
Length: 20 pages
Date of creation: 22 Aug 2011
Date of revision:
Contact details of provider:
Postal: Bank of Finland, BOFIT, P.O. Box 160, FI-00101 Helsinki, Finland
Phone: + 358 10 831 2268
Fax: + 358 10 831 2294
Web page: http://www.suomenpankki.fi/bofit_en/
More information through EDIRC
China; globalization; rate of return; stock markets; time-varying parameter regression;
Other versions of this item:
- Chow, Gregory C. & Liu, Changjiang & Niu, Linlin, 2011. "Co-movements of Shanghai and New York stock prices by time-varying regressions," Journal of Comparative Economics, Elsevier, vol. 39(4), pages 577-583.
- C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- P43 - Economic Systems - - Other Economic Systems - - - Finance; Public Finance
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-08-29 (All new papers)
- NEP-FMK-2011-08-29 (Financial Markets)
- NEP-TRA-2011-08-29 (Transition Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Gregory C. Chow & Caroline C. Lawler, 2003. "A Time Series Analysis of the Shanghai and New York Stock Price Indices," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 17-35, May.
- Robert F. Engle & Takatoshi Ito & Wen-Ling Lin, 1988.
"Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in the Foreign Exchange Market,"
NBER Working Papers
2609, National Bureau of Economic Research, Inc.
- Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-42, May.
- Ghosh, Asim & Saidi, Reza & Johnson, Keith H, 1999. "Who Moves the Asia-Pacific Stock Markets--US or Japan? Empirical Evidence Based on the Theory of Cointegration," The Financial Review, Eastern Finance Association, vol. 34(1), pages 159-70, February.
- S Zhang & I Paya & D Peel, 2009.
"Linkages between Shanghai and Hong Kong stock indices,"
599248, Lancaster University Management School, Economics Department.
- Shenqiu Zhang & Ivan Paya & David Peel, 2009. "Linkages between Shanghai and Hong Kong stock indices," Applied Financial Economics, Taylor & Francis Journals, vol. 19(23), pages 1847-1857.
- Hwahsin Cheng & John Glascock, 2005. "Dynamic Linkages Between the Greater China Economic Area Stock Markets—Mainland China, Hong Kong, and Taiwan," Review of Quantitative Finance and Accounting, Springer, vol. 24(4), pages 343-357, June.
- 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.
- Ito, Takatoshi & Engle, Robert F. & Lin, Wen-Ling, 1992.
"Where does the meteor shower come from? : The role of stochastic policy coordination,"
Journal of International Economics,
Elsevier, vol. 32(3-4), pages 221-240, May.
- Takatoshi Ito & Robert F. Engle & Wen-Ling Lin, 1992. "Where Does the Meteor Shower Come From? The Role of Stochastic Policy Coordination," NBER Working Papers 3504, National Bureau of Economic Research, Inc.
- repec:lan:wpaper:2371 is not listed on IDEAS
- repec:lan:wpaper:2452 is not listed on IDEAS
- Nicolaas Groenewold & Sam Hak Kan Tang & Yanrui Wu, 2002.
"The Dynamic Interrelationships Between the Greater China Share Markets,"
Economics Discussion / Working Papers
02-02, The University of Western Australia, Department of Economics.
- Groenwold, Nicolaas & Tang, Sam Hak Kan & Wu, Yanrui, 2004. "The dynamic interrelationships between the greater China share markets," China Economic Review, Elsevier, vol. 15(1), pages 45-62, January.
- repec:lan:wpaper:2594 is not listed on IDEAS
- repec:wyi:wpaper:002054 is not listed on IDEAS
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Päivi Määttä).
If references are entirely missing, you can add them using this form.