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Inflation And The Subsequent Timing Of The Chinese Stock Market

Author

Listed:
  • Hui Hong

    (Department of Accounting and Finance, Kemmy Business School, University of Limerick, Limerick, Ireland)

  • Fergal O'Brien

    (Department of Accounting and Finance, Kemmy Business School, University of Limerick, Limerick, Ireland)

  • James Ryan

    (Department of Accounting and Finance, Kemmy Business School, University of Limerick, Limerick, Ireland)

Abstract

This paper examines market-timing strategies based on inflation in a sample of three stock market indices drawn from the Shanghai and the Shenzhen Stock Exchanges between February 2002 and May 2010. Specifically, this study investigates the effectiveness of market-timing activity and its stability over time when using inflation. Consistent with previous studies, the results reveal significantly strong information conveyed through inflation in helping investors earn profits in excess of a buy-and-hold strategy. The nature of the information and the subsequent importance of the corresponding market-timing activity change over time, providing new evidence of time-varying investment opportunities in the Chinese stock market. The results of this study imply that the Chinese stock market has predictable components that can be exploited using information on inflation. However, this practice might experience time variations in a real-time framework, which draws investors' attention to asset allocation under economic uncertainty. Classification-JEL:

Suggested Citation

  • Hui Hong & Fergal O'Brien & James Ryan, 2014. "Inflation And The Subsequent Timing Of The Chinese Stock Market," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 10(2), pages 13-35.
  • Handle: RePEc:usm:journl:aamjaf01002_13-35
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    References listed on IDEAS

    as
    1. Marquering, Wessel & Verbeek, Marno, 2004. "The Economic Value of Predicting Stock Index Returns and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(2), pages 407-429, June.
    2. Rapach, David E., 2001. "Macro shocks and real stock prices," Journal of Economics and Business, Elsevier, vol. 53(1), pages 5-26.
    3. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
    4. Gao, Y. & Tse, Y. K., 2004. "Market segmentation and information values of earnings announcements: Some empirical evidence from an event study on the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 13(4), pages 455-474.
    5. Gabe J. de Bondt & Tuomas A. Peltonen & Daniel Santabárbara, 2010. "Booms and busts in China's stock market: Estimates based on fundamentals," Working Papers 1032, Banco de España.
    6. Hwahsin Cheng & John L. Glascock, 2006. "Stock Market Linkages Before and After the Asian Financial Crisis: Evidence from Three Greater China Economic Area Stock Markets and the US," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 297-315.
    7. Pesaran, M. Hashem & Timmermann, Allan, 2002. "Market timing and return prediction under model instability," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 495-510, December.
    8. Breen, William & Glosten, Lawrence R & Jagannathan, Ravi, 1989. " Economic Significance of Predictable Variations in Stock Index Returns," Journal of Finance, American Finance Association, vol. 44(5), pages 1177-1189, December.
    9. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    10. Fama, Eugene F. & Schwert, G. William, 1977. "Asset returns and inflation," Journal of Financial Economics, Elsevier, vol. 5(2), pages 115-146, November.
    11. Bossaerts, Peter & Hillion, Pierre, 1999. "Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?," Review of Financial Studies, Society for Financial Studies, vol. 12(2), pages 405-428.
    12. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    13. Tan, Lin & Chiang, Thomas C. & Mason, Joseph R. & Nelling, Edward, 2008. "Herding behavior in Chinese stock markets: An examination of A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 61-77, January.
    14. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    15. Paye, Bradley S. & Timmermann, Allan, 2006. "Instability of return prediction models," Journal of Empirical Finance, Elsevier, vol. 13(3), pages 274-315, June.
    16. Qi, Min, 1999. "Nonlinear Predictability of Stock Returns Using Financial and Economic Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 419-429, October.
    17. Li, Wei & Lam, Kin, 2002. "Optimal market timing strategies under transaction costs," Omega, Elsevier, vol. 30(2), pages 97-108, April.
    18. Eun, Cheol S. & Huang, Wei, 2007. "Asset pricing in China's domestic stock markets: Is there a logic?," Pacific-Basin Finance Journal, Elsevier, vol. 15(5), pages 452-480, November.
    19. Greg Adams & Grant McQueen & Robert Wood, 2004. "The Effects of Inflation News on High Frequency Stock Returns," The Journal of Business, University of Chicago Press, vol. 77(3), pages 547-574, July.
    20. Wongbangpo, Praphan & Sharma, Subhash C., 2002. "Stock market and macroeconomic fundamental dynamic interactions: ASEAN-5 countries," Journal of Asian Economics, Elsevier, vol. 13(1), pages 27-51.
    21. Chan, Kam C. & Fung, Hung-Gay & Thapa, Samanta, 2007. "China financial research: A review and synthesis," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 416-428.
    22. 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.
    23. Mark J. Flannery & Aris A. Protopapadakis, 2002. "Macroeconomic Factors Do Influence Aggregate Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 751-782.
    24. Abugri, Benjamin A., 2008. "Empirical relationship between macroeconomic volatility and stock returns: Evidence from Latin American markets," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 396-410.
    25. Eric Girardin & Zhenya Liu, 2003. "The Chinese Stock Market: A Casino with 'Buffer Zones'?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(1), pages 57-70.
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