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      KCI등재 SCOPUS SSCI

      Examining Stock Volatility in the Segmented Chinese Stock Markets: A SWARCH Approach

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      https://www.riss.kr/link?id=A104944847

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      다국어 초록 (Multilingual Abstract)

      This study adopts the SWARCH model to examine the volatile behavior and volatility linkages among the four major segmented Chinese stock indices.We find strong evidence of a regime shift in the volatility of the four markets, and the SWARCH model appe...

      This study adopts the SWARCH model to examine the volatile behavior and volatility linkages among the four major segmented Chinese stock indices.We find strong evidence of a regime shift in the volatility of the four markets, and the SWARCH model appears to outperform standard generalized autoregressive conditional heteroskedasticity (GARCH) family models. The evidence suggests that, compared with the A-share markets, B-share markets stay in a high-volatility state longer and are more volatile and shift more frequently between high- and low-volatility states. In addition, the relative magnitude of the high-volatility compared with that of the low-volatility state in the B-share markets is much greater than the case in the two A-share markets. B-share markets are found to be more sensitive to international shocks, while A-share markets seem immune to international spillovers of volatility. Finally, analyses of the volatility spillover effect among the four stock markets indicate that the A-share markets play a dominant role in volatility in Chinese stock markets.

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      참고문헌 (Reference)

      1 Chen, H.,

      2 Su, D., "Why does return volatility differ in Chinese stock markets?" 7 (7): 557-586, 1999

      3 Qiao, Z., "Volatility switching and regime interdependence between information technology stocks 1995-2005" 19 : 139-156, 2008

      4 Edwards, S., "Volatility dependence and contagion in emerging equity markets" 66 : 505-532, 2001

      5 Mok, H., "Underpricing and aftermarket performance of IPOs in Shanghai, China" 6 : 453-474, 1998

      6 Hansen, B. E., "The likelihood ratio test under non-standard conditions: testing the Markov trend model of GNP" 7 : 61-82, 1992

      7 Abdel-khalik, A. R., "The information environment of China’s A and B shares: can we make sense of the numbers?" 34 (34): 467-628, 1999

      8 Brooks, R., "Returns and volatility on the Chinese stock markets" 13 : 747-752, 2003

      9 Qiao, Z., "Policy change and lead-lag relations among China’s segmented stock markets" 18 (18): 276-289, 2008

      10 Lamoureux, C. G., "Persistence in variance, structural change and the GARCH model" 8 : 225-234, 1990

      1 Chen, H.,

      2 Su, D., "Why does return volatility differ in Chinese stock markets?" 7 (7): 557-586, 1999

      3 Qiao, Z., "Volatility switching and regime interdependence between information technology stocks 1995-2005" 19 : 139-156, 2008

      4 Edwards, S., "Volatility dependence and contagion in emerging equity markets" 66 : 505-532, 2001

      5 Mok, H., "Underpricing and aftermarket performance of IPOs in Shanghai, China" 6 : 453-474, 1998

      6 Hansen, B. E., "The likelihood ratio test under non-standard conditions: testing the Markov trend model of GNP" 7 : 61-82, 1992

      7 Abdel-khalik, A. R., "The information environment of China’s A and B shares: can we make sense of the numbers?" 34 (34): 467-628, 1999

      8 Brooks, R., "Returns and volatility on the Chinese stock markets" 13 : 747-752, 2003

      9 Qiao, Z., "Policy change and lead-lag relations among China’s segmented stock markets" 18 (18): 276-289, 2008

      10 Lamoureux, C. G., "Persistence in variance, structural change and the GARCH model" 8 : 225-234, 1990

      11 Ljung, G., "On a measure of lack of fit in time series models" 65 : 297-303, 1978

      12 Diebold, F. X., "Modeling the persistence of conditional variance: a comment" 5 : 51-56, 1986

      13 Lin, J. L., "Modeling China Stock Markets and International Linkages, Working Paper" Institute of Economics, Academia Sinica 2003

      14 Sjoo, B., "Market segmentation and information diffusion in China’s stock markets" 10 : 421-438, 2000

      15 Yang, J., "Market segmentation and information asymmetry in Chinese stock markets: a VAR analysis" 38 (38): 591-609, 2003

      16 Qiao, Z., "Long-run equilibrium, short-term adjustment, and spillover effects across Chinese segmented stock markets and Hong Kong stock market" 18 : 425-437, 2008

      17 Kim, Y., "Interactions among China-related stocks?" 7 : 97-115, 2000

      18 Chakravarty, S., "Information asymmetry, market segmentation and the pricing of cross-listed shares: theory and evidence from Chinese A and B shares" 8 (8): 325-356, 1998

      19 Hansen, B. E., "Inference When a Nuisance Parameter is not Identified Under the Null Hypothesis" University of Rochester 1991

      20 Lean, H. H., "Impact of other stock markets on China" 6 : 81-108, 2004

      21 Schwert, G. W., "Heteroskedasticity in stock returns" 45 : 1129-1155, 1990

      22 Bollerslev, T., "Generalized autoregressive conditional heteroskedasticity" 31 : 307-327, 1986

      23 Schwartz, G., "Estimating the dimension of a model" 6 : 461-464, 1978

      24 Wang, S. S., "Do bears and bulls swim across oceans? Market information transmission between greater China and the rest of the world" 14 (14): 235-254, 2004

      25 Chui, A., "Cross-autocorrelation between A-shares and B-shares in the Chinese stock market" 21 : 247-254, 1998

      26 Nelson, D. B., "Conditional heteroscedasticity in asset pricing: a new approach" 59 : 347-370, 1991

      27 Akaike, H., "Canonical correlation analysis of time series and use of an information Criterion, In System Identification: Advance and Case Studies" Academic Press 27-96, 1976

      28 Hamilton, J. D., "Autoregressive conditional heteroscedasticity and changes in regime" 64 : 307-333, 1994

      29 Chen, G. M., "A study of market segmentation due to foreign ownership restrictions in china’s stock markets: A-share premiums or B-share discounts?" XXIV (XXIV): 133-155, 2001

      30 Hamilton, J. D., "A new approach to the economic analysis of nonstationary time series and the business cycle" 57 : 357-384, 1989

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