Skip to main content

Abstract

As a mechanism for the development of the Chinese stock markets, issues of Chinese stocks are mainly divided into A-shares (SHA and SZA) and B-shares (SHB and SZB); both A-shares and B-shares are listed on the Shanghai Stock Exchange (SHSE) and the Shenzhen Stock Exchange (SZSE) of mainland China.1 The Chinese government also allows some companies to issue H, red-chip, N, and S shares in accordance with different listing locations and investors. Among these types of shares, H, red-chip, N, and S shares are traded on the Hong Kong Stock Exchange (HKSE), the New York Stock Exchange (NYSE), and the Singapore Stock Exchange (SSE).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abdel-khalik, A.R., Wong, K.A. and Wu, A. (1999) “The Information Environment of China’s A and B shares: Can We Make Sense of the Numbers?” International Journal of Accounting, 34(4): 467–628.

    Article  Google Scholar 

  • Akaike, H. (1976) “Canonical Correlation Analysis of Time Series and Use of An Information Criterion,” in R.K: Mehra and D. G Lainioties (Eds.), System Identification: Advance and Case Studies, Academic Press, New York, NY.

    Google Scholar 

  • Antoniou, A., Koutmos, G. and A. Percli (2005) “Index Futures and Positive Feedback Trading: Evidence from Major Stock Exchanges,” Journal of Empirical Finance, 12(2): 219–238.

    Article  Google Scholar 

  • Bailey, W. (1994) “Risk and Return on China’s New Stock Markets: Some Preliminary Evidence,” Pacific-Basin Finance Journal, 2 (2/3): 243–260.

    Article  Google Scholar 

  • Bollerslev, T. (1986) “Generalized Autoregressive Conditional Heteroscedasticity,” Journal of Econometrics, 31(3): 307–327.

    Article  Google Scholar 

  • Bollerslev, T., Chou, R.Y. and K. F. Kroner (1992) “ARCH Modeling in Finance,” Journal of Econometrics. 52(1–2): 5–59.

    Article  Google Scholar 

  • Brooks, R. and Ragunathan, V. (2003) “Returns and Volatility on the Chinese Stock Markets,” Applied Financial Economics, 13(10): 747–752.

    Article  Google Scholar 

  • Cai, J. (1994) “A Markov Model of Unconditional Variance in ARCH,” Journal of Business and Economic Statistics, 12(3): 309–316.

    Google Scholar 

  • Chakravarty, S., Sarkar, A. and L. Wu (1998) “Information Asymmetry, Market Segmentation and the Pricing of Cross-listed Shares: Theory and Evidence from Chinese A and B Shares,” Journal of International Financial Markets, Institutions and Money, 8(3–4): 325–356.

    Article  Google Scholar 

  • Chen, G.-M., Lee, B.S. and O. M. Rui (2001) “Foreign Ownership Restrictions and Market Segmentation in China’s Stock Markets,” Journal of Financial Research, 24(1): 133–156.

    Article  Google Scholar 

  • Chou, R.Y. (1998) “Volatility Persistence and Stock Valuation: Some Empirical Evidence Using GARCH,” Journal of Applied Econometrics, 3(4): 279–294.

    Article  Google Scholar 

  • Chui, A. and Kwok, C. (1998) “Cross-autocorrelation Between A-shares and B-shares in the Chinese Stock Market,” Journal of Financial Research, 21(3): 247–254.

    Google Scholar 

  • Diebold, F.X. (1986) “Modeling the Persistence of Conditional Variance: A Comment,” Econometric Reviews, 5(1): 51–56.

    Article  Google Scholar 

  • Ding, Z., Granger, C.W.J. and R. F. Engle (1993) “A Long Memory Property of Stock Market Returns and A New Model,” Journal of Empirical Finance, 1(1): 83–106.

    Article  Google Scholar 

  • Edwards, S. and Susmel, R. (2003) “Interest Rate Volatility in Emerging Markets,” Review of Economics and Statistics, 85(2): 328–348.

    Article  Google Scholar 

  • Engle, C. (1994) “Can the Markov Switching Model Forecast Exchange Rates?” Journal of International Economics, 36(1–2): 151–165.

    Article  Google Scholar 

  • Engle, R.F. (1982) “Autoregressive Conditional Heteroscedasticity with Estimates of Variance of United Kingdom Inflation,” Econometrica, 50(4): 987–1007.

    Article  Google Scholar 

  • Engle, R.F. and Mustafa, C. (1992) “Implied ARCH Models from Options Prices,” Journal of Econometrics, 52(1–2): 289–311.

    Article  Google Scholar 

  • Engle, R.F. (2002) “New Frontiers for ARCH Models,” Journal of Applied Econometrics, 17(5): 425–446.

    Article  Google Scholar 

  • Fong, W.M. and Kim, H.S. (2001) “Modeling the Conditional Volatility of Commodity Index Futures as A Regime Switching Process,” Journal of Applied Econometrics, 16(3): 133–163.

    Article  Google Scholar 

  • Fong, W.M. and Kim, H.S. (2002) “A Markov switching model of the conditional volatility of crude oil futures prices,” Energy Economics, 24(4): 71–95.

    Article  Google Scholar 

  • Fong, W.M. and Koh, S.K. (2002) “On the Political Economy of Volatility Dynamics in the Hong Kong Stock Market,” Asia-Pacific financial markets, 9(3): 259–282.

    Article  Google Scholar 

  • Fong, W.M. (2003) “Correlation Jumps,” Journal of Applied Finance, 13(1): 29–45.

    Google Scholar 

  • Frankel, J.A. and Schmukler, S.L. (2000) “Country Funds and Asymmetric Information,” International Journal of Finance and Economics, 5(3): 177–195.

    Article  Google Scholar 

  • Gill, P.E. and Murray, W. (1972) “Quasi-Newton Methods for Unconstrained Optimization,” Journal of the Institute of Mathematics and Its Applications, 9(1): 91–108.

    Article  Google Scholar 

  • Gray, S.F. (1996) “Modeling the Conditional Distribution of Interest Rates as A Regime-switching Process,” Journal of Financial Economics, 42(3): 27–62.

    Article  Google Scholar 

  • Hamilton, J.D. (1989) “A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle,” Econometrica, 57(2): 357–384.

    Article  Google Scholar 

  • Hamilton, J.D. (1990) “Analysis of the Time Series Subject to Change in Regime,” Journal of Econometrics, 45(1–2): 39–70.

    Article  Google Scholar 

  • Hamilton, J.D. and Susmel, R. (1994) “Autoregressive Conditional Heteroscedasticity and Changes in Regime,” Journal of Econometrics, 64(1–2): 307–333.

    Article  Google Scholar 

  • Hansen, B.E. (1992) “The Likelihood Ratio Test under Non-standard Conditions: Testing the Markov Trend Model of GNP,” Journal of Applied Econometrics, 7(4): S61–S82.

    Article  Google Scholar 

  • Karolyi, G.A. and Stulz, R.M. (1996) “Why Do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements,” Journal of Finance, 51(3): 951–986.

    Article  Google Scholar 

  • Kim, S.W. and Rogers, J.H. (1995) “International Stock Price Spillovers and Market Liberalization: Evidence from Korea, Japan, and the United States,” Journal of Empirical Finance, 2(2): 117–133.

    Article  Google Scholar 

  • Koutmos, G. (1998) “Asymmetries in the Conditional Mean and the Conditional Variance: Evidence from Nine Stock Markets,” Journal of Economics and Business, 50(3): 277–291.

    Article  Google Scholar 

  • Lamoureux, C.G. and Lastrapes, W.D. (1990) “Persistence in Variance, Structural Change and the GARCH Model,” Journal of Business and Economic Statistics, 8(2): 225–234.

    Google Scholar 

  • Lean, H.H. and Wong, W.K. (2004) “Impact of Other Stock Markets on China,” China Journal of Finance, 6(1): 81–108.

    Google Scholar 

  • Lin, J.L. and Wu, C.S. (2003) “Modeling China Stock Markets and International Linkages,” Working Paper, Institute of Economics, Academia Sinica.

    Google Scholar 

  • Ljung, G. and Box, G. (1978) “On a Measure of Lack of Fit in Time Series Models,” Biometrika, 65(2): 297–303.

    Article  Google Scholar 

  • Mei, J., Scheinkman, J. A. and Xiong, W. (2004) “Speculative Trading and Stock Prices: An Analysis of Chinese A-B Share Premia,” Working Paper, Princeton University, Princeton, NJ.

    Google Scholar 

  • Nelson, D.B. (1991) “Conditional Heteroscedasticity in Asset Pricing: A New Approach,” Econometrica, 59(2): 347–370.

    Article  Google Scholar 

  • Qiao, Z., Chiang, T. C. and Wong, W. -K. (2008) “Long-run Equilibrium, Short-term Adjustment, and Spillover Effects Across Chinese Segmented Stock Markets and the Hong Kong Stock Market,” Journal of International Financial Markets, Institutions & Money, 18(5): 425–437.

    Article  Google Scholar 

  • Schwartz, G. (1978) “Estimating the Dimension of A Model,” Annual Statistics, 6(2): 461–464.

    Article  Google Scholar 

  • Schwert, G.W. and Seguin, P.J. (1990) “Heteroskedasticity in Stock Returns,” Journal of Finance, 45(4): 1129–1155.

    Article  Google Scholar 

  • Su, D. and Fleisher, B.M. (1999) “Why Does Return Volatility Differ in Chinese Stock Markets?” Pacific-Basin Finance Journal, 7(5): 557–586.

    Article  Google Scholar 

  • Su, D.(1998) “The Behaviorof Chinese Stock Markets,” in J.J. Choi and J.A. Doukas (Eds.), Emerging Capital Markets, Quorum Books, Westport, CT.

    Google Scholar 

  • Sun, Q. and Tong, W. (2000) “The Effect of Market Segmentation on Stock Prices: The China syndrome,” Journal of Banking and Finance, 24(12): 1875–1902.

    Article  Google Scholar 

  • Wang, S.S. and Firth, M. (2004) “Do Bears and Bulls Swim Across Oceans? Market Information Transmission Between Greater China and the Rest of the World,” Journal of International Financial Markets Institutions and Money, 14(3): 235–254.

    Article  Google Scholar 

  • Webb, A. and Clifford, M.L. (2001) “Is China’s B-shares’ Bubble Near Bursting?” Business Week, June 18. Available at http://www.businessweek.com/magazine/content/01_25/b3737161.htm

  • White, H. (1980) “A Heteroskedasticity-consistent Covariance Estimator and A Direct Test for Heteroskedasticity,” Econometrica, 48(4): 817–838.

    Article  Google Scholar 

  • Yang, J. (2003) “Market Segmentation and Information Asymmetry in Chinese Stock Markets: A VAR analysis,” Financial Review, 38(4): 591–609.

    Article  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Copyright information

© 2011 Thomas C. Chiang, Zhuo Qiao and Wing-Keung Wong

About this chapter

Cite this chapter

Chiang, T.C., Qiao, Z., Wong, WK. (2011). A Markov Regime-Switching Model of Stock Return Volatility: Evidence from Chinese Markets. In: Gregoriou, G.N., Pascalau, R. (eds) Nonlinear Financial Econometrics: Markov Switching Models, Persistence and Nonlinear Cointegration. Palgrave Macmillan, London. https://doi.org/10.1057/9780230295216_3

Download citation

Publish with us

Policies and ethics