Yan, Isabel K. and Chong, Terence and Lam, Tau-Hing (2011): Is the Chinese Stock Market Really Efficient. Forthcoming in: China Economic Review
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Groenewold et al (2004a) documented that the Chinese stock market is inefficient. In this paper, we revisit the efficiency problem of the Chinese stock market using time-series model based trading rules. Our paper distinguishes itself from previous studies in several aspects. First, while previous studies concentrate on the viability of linear forecasting techniques, we evaluate the profitability of the forecasts of the self-exciting threshold autoregressive model (SETAR), and compare it with the conventional linear AR and MA trading rules. Second, the finding of market inefficiency in earlier studies mainly rest on the statistical significance of the autocorrelation or regression coefficients. In contrast, this paper directly examines the profitability of various trading rules. Third, our sample covers an extensive period of 1991-2010. Sub-sample analysis shows that positive returns mainly concentrate in the pre-SOE reform period, suggesting that China’s stock market has become more efficient after the reform.
|Item Type:||MPRA Paper|
|Original Title:||Is the Chinese Stock Market Really Efficient|
|Keywords:||Efficient Market Hypothesis; SETAR Model; Bootstrapping; SOE reform|
|Subjects:||G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates
C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes
G - Financial Economics > G1 - General Financial Markets > G10 - General
|Depositing User:||Isabel Yan|
|Date Deposited:||06. Dec 2011 11:55|
|Last Modified:||11. Feb 2013 16:37|
Abdel-Khalik, A. R., K. A. Wong and A. Wu, 1999. The information environment of China’s A and B shares: Can we make sense of the numbers. International Journal of Accounting 34, 467-489.
Allen, F. and R. Karjalainen, 1999. Using genetic algorithms to find technical trading rules. Journal of Financial Economics 51, 245–271.
Andrada-Félix, J., F. Fernández-Rodríguez, M. D. García-Artiles, and S. Sosvilla-Rivero, 2003. An empirical evaluation of non-linear trading rules. Studies in Nonlinear Dynamics and Econometrics 7, No. 3, Article 4.
Bai, J., T. T. L. Chong and H. Chen, 2011. The theory and applications of TAR model with two threshold variables. Econometric Review, forthcoming.
Bailey, W., 1994. “Risk and return on China’s new stock markets: Some preliminary evidence”. Pacific-Basin Finance Journal 2, 243-260.
Balara, N.J., G. Chen and L. Zheng, 2007. The Chinese stock market: An examination of the random walk model and technical trading rules. Quarterly Journal of Business and Economics 22, 43-63.
Bai, J. and P. Perron, 2003. Computation and analysis of multiple structural change models. Journal of Applied Econometrics 18, 1-22.
Bao, B. and L. Chow, 1999. The usefulness of earning and book value for equity valuation in emerging capital markets: evidence from listed companies in the People’s Republic of China. Journal of International Financial Management and Accounting 10, 85-104.
Bessembinder, H. and K. Chan, 1995. The profitability of technical trading rules in the Asian stock markets. Pacific-Basin Finance Journal 3, 257-284.
Brock, W., J. Lakonishok and B. LeBaron, 1992. Simple technical trading rules and the stochastic properties of stock returns. Journal of Finance 5, 1731-1764.
Cai, B. M., C. X. Cai and K. Keasey, 2005. Market efficiency and returns to simple technical trading rules: Further evidence from U.S., U.K., Asian and Chinese stock markets. Asia-Pacific Financial Markets 12, 45-60.
Cai, F., M. Laurence and S. Qian, 1997. Weak-form efficiency and causality tests in Chinese stock markets, Multinational Finance Journal 1, 291-307.
Cajueiro, D. O. and B. M. Tabak, 2006. The long-range dependence phenomena in asset returns: the Chinese case. Applied Economics Letters, 13(2), 131-133.
Chen, H., T. T. L. Chong and Z. Li, 2010. Are Chinese stock market cycles duration independent? Financial Review 46, 149-162.
Chen, K.J. and X.M. Li, 2006. Is technical analysis useful for stock traders in China? Evidence from the SZSE component A-share Index. Pacific Economic Review 11(4), 477-488.
Chong T. T. L., 2001a. Structural change in AR(1) models. Econometric Theory 17, 87-155.
Chong, T. T. L., 2001b. Estimating the locations and number of change points by the sample-splitting method. Statistical Papers 42, 53-79.
Chong, T. T. L., M. Hinich and Q. He, 2008. The nonlinear dynamics of foreign reserves and currency crises. Studies in Nonlinear Dynamics and Econometrics 12(4), Article 2.
Chong, T. T. L. and T. H. Lam, 2010. Are nonlinear trading rules profitable in the U.S. stock market? Quantitative Finance 10(9), 1067-1076.
Chong, T. T. L. and H. Ip, 2009. Do momentum-based strategies work in emerging currency markets. Pacific-Basin Finance Journal 17, 479-493.
Chow, G. A., Z. Z. Fan and J. Y. Hu, 1999. Shanghai stock prices as determined by the present-value model. Journal of Comparative Economics 27, 553-561.
Coppola, A. and J. Zhang, 2010. Using technical analysis to test the efficiency of the Shanghai stock market. http://www.mondovisione.com/exchanges/handbook-articles/using-technical-analysis-to-test-the-efficiency-ofthe-shanghai-stock-market/
Coutts, J. A. and K. C. Cheung, 2000. Trading rules and stock returns: Some preliminary short run evidence from the Hang Seng 1985-1997. Applied Financial Economics 10, 579-586.
Darrat, A. F. and M. Zhong, 2000. On testing the random-walk hypothesis: A model-comparison approach. Financial Review 35, 105-124.
Efron, B., 1979. Computers and the theory of statistics: Thinking the unthinkable. SIAM Review 21, 460-480.
Efron, B. and R. Tibshirani, 1986. Bootstrap method of standard errors, confidence intervals and other measures of statistical accuracy. Statistical Science 1, 54-75.
Fama, E. F., 1965. The behavior of stock-market prices. Journal of Business 38, 34-105.
Fama, E. F., 1970. Efficient capital market, a review of theory and empirical work. Journal of Finance, 25, 383- 417.
Ferguson, R. and J. L. Treynor, 1985. In defense of technical analysis. Journal of Finance 40, 757-773.
Fernández-Rodríguez, F., S. Sosvilla-Rivero, and J. Andrada-Félix, 2003. Technical analysis in foreign exchange markets: Evidence from the EMS. Applied Financial Economics 13, 113-122.
Girardin, E. and Z. Liu, 2005. Bank credit and seasonal anomalies in China’s stock markets. China Economic Review 16, 465-483.
Girardin, E. and Z. Liu, 2007. The financial integration of China: new evidence on temporally aggregated data for the A-share market. China Economic Review 18, 354-371.
Groenewold, N., S. H. K. Tang and Y. Wu, 2003. The efficiency of the Chinese stock market and the role of the banks. Journal of Asian Economics 14, 593-609.
Groenewold, N., Y. Wu, Y., S.H.K. Tang and X. M. Fan, 2004a, The Chinese Stock Market: Efficiency, Predictability and Profitability. Edward Elgar Publishing, Cheltenham, UK.
Groenewold, N., S. H. K. Tang and Y. Wu. 2004b. The dynamic interrelationships between the Greater China share markets. China Economic Review 15, 45-62.
Gunasekarage, A. and D. A. Power, 2001. The profitability of moving average trading rules in South Asian stock markets. Emerging Market Review 2 , 17-33.
Hansen, B. E., 1997. Inference in TAR models. Studies in Nonlinear Dynamics and Econometrics 2, 1-14.
He, Q., T. T. L. Chong and K. Shi, 2009. What accounts for Chinese business cycle? China Economic Review 20, 650-661.
Hu, J. W. S., M. Y. Chen, R. C. W. Fok and B. N. Huang, 1997. Causality in volatility and volatility spillover effects between US, Japan and four equity markets in the South China growth triangular. Journal of International Financial Markets, Institutions and Money 7, 351-367.
Huang, F., J. Su and T. T. L. Chong (2008), Testing for structural change in the nontradable share reform of the Chinese stock market. The Chinese Economy 41(2), 24-33.
Hudson, R., M. Dempsey and K. Keasey, 1996. A note on the weak form efficiency of capital markets: The application of simple technical trading rules to UK stock prices — 1935 to 1994. Journal of Banking and Finance 20, 1121-1132.
Jensen, M. and G. Benington, 1970. Random walk and technical theories: some additional evidence. Journal of Finance 25, 469-482.
Johnson, R. and L. Soenen, 2002. Asian economic integration and stock market comovement. Journal of Financial Research 25, 141-157.
Kang, J., M. H. Liu and S. X. Ni, 2002. Contrarian and momentum strategies in the China stock market. Pacific-Basin Finance Journal 10, 243-265.
Laurence, M., F. Cai, and Q. Sun, 1997. Weak-form efficiency and causality tests in Chinese stock markets. Multinational Finance Journal 1, 291-307.
Liu, J. and C. Liu, 2007. Value relevance of accounting information in different stock market segments: The Case of Chinese A-, B-, and H-Shares. Journal of International Accounting Research 6(2), 55-81.
Liu, X., H. Song and P. Romilly, 1997. Are Chinese stock markets efficient? A Cointegration and causality analysis. Applied Economics Letters 4, 511-515.
Lo, A. and A. C. MacKinlay, 1988. Stock market prices do not follow random walks: evidence from a simple specification test. Review of Financial Studies 1, 41-66.
Long, D. M., J. D. Payne and C. Feng, 1999. Information transmission in the Shanghai equity market. Journal of Financial Research 22, 29-45.
Ma, Shiguang (2004), The Efficiency of China’s Stock Market. Ashgate.
Miller, M. H., J. Muthuswamy and R.E. Whaley, 1994. Mean reversion of Standard and Poor 500 index basis changes: arbitrage-induced or statistical illusion? Journal of Finance 49, 479-513.
Mills, T. C., 1997. Technical analysis and the London Stock Exchange:Testing trading rules using the FT30. International Journal of Finance and Economics 2, 319-331.
Mookerjee, R. and Q. Yu, 1999. An empirical analysis of the equity markets in China. Review of Financial Economics 8, 41-60.
Nam, K., K. M. Washer, and Q. C. Chu, 2005. Asymmetric return dynamics and technical trading strategies. Journal of Banking and Finance 29, 391-418.
Pérez-Rodríguez, J. V., S. Torra, and J. Andrada-Félix, 2005. STAR and ANN models: Forecasting performance on Spanish “Ibex-35” stock index. Journal of Empirical Finance 12, 490-509.
Ratner, M. and R. P. C. Leal, 1999. Tests of technical trading strategies in the emerging equity market in Latin America and Asia. Journal of Banking and Finance 23, 1887-1905.
Sami, H. and H. Zhou, 2004. A comparison of value relevance of accounting information in different segments of the Chinese stock market. International Journal of Accounting 39, 403-427.
Sullivan, R., A. Timmerman and H. White, 1999. Data-snooping, technical trading rule performance and the bootstrap. Journal of Finance 54, 1647-1691.
Su, D. and B. M. Fleisher, 1998. Risk, return and regulations in Chinese stock markets. Journal of Economics and Business 50, 239-256.
Sun, Q and W. H. S. Tong, 2000. The effect of market segmentation on stock prices: The China syndrome. Journal of Banking and Finance 24, 1875-1902.
Tian, G., G. H. Wan, and M. Guo, 2002. Market efficiency and the returns to simple technical trading rules: New evidence from U.S. Equity Market and Chinese equity markets. Asia-Pacific Financial Markets 9, 241-258.
Timmermann, A. and C. W. J. Granger, 2004. Efficient market hypothesis and forecasting. International Journal of Forecasting 20, 15-27.
Tong, H., 1978. On a Threshold model in a pattern recognition and signal processing, ed. C. H. Chen, Ameterdam: Sijhoff and Noordhoff.
Wang, Y., L. Liu and R. Gu, 2009. Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis. International Review of Financial Analysis 18(5), 271-276.
Wong, W. K., B. Liu and Y. Zeng, 2009. Can price limits help when the price is falling? Evidence from transactions data on the Shanghai Stock Exchange. China Economic Review 20, 91-102.
Xu, K. C., 2000. The microstructure of the Chinese stock market. China Economic Review 11, 79-97.
Yeh, Y. H. and T. S. Lee, 2000. The interaction and volatility asymmetry of unexpected returns in the Greater China stock markets. Global Finance Journal 11, 129-149.