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China's segmented stock market: An application of the conditional international capital asset pricing model

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  • Jacobsen, Brian J.
  • Liu, Xiaochun

Abstract

China's segmented stock market provides an opportunity to study conditional international asset pricing from multiple viewpoints--domestic and foreign. We use the multivariate GARCH-M framework of De Santis and Gérard [De Santis, G., and Gérard, B., 1998. How big is the premium for currency risk? Journal of Financial Economics 49, pp. 375-412.], but add conditional local specific risk and find global, local, and currency risk to be priced and time-varying in Chinese markets, suggesting mild segmentation for developing country markets. The time-varying price of currency risk indicates that the strict currency restrictions in China do not sufficiently reduce currency risk to stabilize the price of currency risk. We also find that the price of local risk in the Chinese A stock market is non-time-varying relative to the developed market, but time-varying relative to the emerging market. This finding implies that the Chinese A stock market is more comparable to a developed market than an emerging market. However, results on Chinese B shares show the opposite relationship: from a foreign investor's perspective, Chinese B shares are better categorized as being emerging than developed. This is further supported by an Engle-Granger cointegration test.

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  • Jacobsen, Brian J. & Liu, Xiaochun, 2008. "China's segmented stock market: An application of the conditional international capital asset pricing model," Emerging Markets Review, Elsevier, vol. 9(3), pages 153-173, September.
    • Handle: RePEc:eee:ememar:v:9:y:2008:i:3:p:153-173
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    2. Huang, Lin & Wu, Jia & Zhang, Rui, 2014. "Exchange risk and asset returns: A theoretical and empirical study of an open economy asset pricing model," Emerging Markets Review, Elsevier, vol. 21(C), pages 96-116.
    3. Korkmaz, Turhan & Cevik, Emrah Ismail & Gurkan, Serhan, 2010. "Testing the international capital asset pricing model with Markov switching model in emerging markets," MPRA Paper 71481, University Library of Munich, Germany, revised 2010.
    4. Lehkonen, Heikki, 2010. "Bubbles in China," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 113-117, March.

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