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The Impact of Market Condition and Policy Change on the Sustainability of Intra-Industry Information Diffusion in China

Author

Listed:
  • Chi Dong

    () (School of Economics, Hebei University, Baoding 071002, China)

  • Hooi Hooi Lean

    () (Economics Program, School of Social Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Zamri Ahmad

    () (School of Management, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Wing-Keung Wong

    () (Department of Finance, Fintech Center, and Big Data Research Center, Asia University, Taichung City 41354, Taiwan
    Department of Medical Research, China Medical University Hospital, Taichung 40402, Taiwan
    Department of Economics and Finance, Hang Seng University of Hong Kong, Shatin 999077, Hong Kong)

Abstract

Through an investigation into seven major industries in China’s stock market from 2002 to 2013, this study focuses on two main external determinants: market condition and policy change on intra-industry information diffusion. We employ both time-series and panel Vector Auto-regression (VAR) methods on a sample data of 1175 firms for the analysis. The investigation reveals that market conditions and policy changes affect the process of intra-industry information diffusion in China. The speed of intra-industry information diffusion in a down-market state is slower than an upmarket, especially when the evidence is more significant in the longer horizon of the market condition. Policy changes, especially the split-share structure reform, impede the process of intra-industry information diffusion. The investigation outcome also reveals that there is an increasing delay in intra-industry information diffusion over time in China’s stock market after 2005. However, because of the decreasing information volatility of intra-industry information diffusion, policy changes are useful to a certain extent.

Suggested Citation

  • Chi Dong & Hooi Hooi Lean & Zamri Ahmad & Wing-Keung Wong, 2019. "The Impact of Market Condition and Policy Change on the Sustainability of Intra-Industry Information Diffusion in China," Sustainability, MDPI, Open Access Journal, vol. 11(4), pages 1-20, February.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1037-:d:206584
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    References listed on IDEAS

    as
    1. Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
    2. Kai Li & Tan Wang & Yan-Leung Cheung & Ping Jiang, 2011. "Privatization and Risk Sharing: Evidence from the Split Share Structure Reform in China," Review of Financial Studies, Society for Financial Studies, vol. 24(7), pages 2499-2525.
    3. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    4. Chen, Crystal Xiaobei & Rhee, S. Ghon, 2010. "Short sales and speed of price adjustment: Evidence from the Hong Kong stock market," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 471-483, February.
    5. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
    6. Chang, Eric C. & McQueen, Grant R. & Pinegar, J. Michael, 1999. "Cross-autocorrelation in Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 471-493, December.
    7. Chen, Nai-fu & Kan, Raymond & Miller, Merton H, 1993. " Are the Discounts on Closed-End Funds a Sentiment Index?," Journal of Finance, American Finance Association, vol. 48(2), pages 795-800, June.
    8. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    9. Lior Menzly & Oguzhan Ozbas, 2010. "Market Segmentation and Cross‐predictability of Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1555-1580, August.
    10. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    11. John A. Doukas & Phillip J. McKnight, 2005. "European Momentum Strategies, Information Diffusion, and Investor Conservatism," European Financial Management, European Financial Management Association, vol. 11(3), pages 313-338, June.
    12. Changyun Wang & Lei Xie, 2010. "Information Diffusion and Overreaction: Evidence from the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(2), pages 80-100, March.
    13. Masaki Mori, 2015. "Information Diffusion in the U.S. Real Estate Investment Trust Market," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 190-214, August.
    14. 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.
    15. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    16. Merton, Robert C, 1987. " A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    17. Joseph D. Piotroski & T.J. Wong, 2012. "Institutions and Information Environment of Chinese Listed Firms," NBER Chapters, in: Capitalizing China, pages 201-242, National Bureau of Economic Research, Inc.
    18. Chang, Eric C. & Luo, Yan & Ren, Jinjuan, 2014. "Short-selling, margin-trading, and price efficiency: Evidence from the Chinese market," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 411-424.
    19. Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross‐Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, April.
    20. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
    21. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    22. Conrad, Jennifer & Kaul, Gautam, 1988. "Time-Variation in Expected Returns," The Journal of Business, University of Chicago Press, vol. 61(4), pages 409-425, October.
    23. Boudoukh, Jacob & Richardson, Matthew P & Whitelaw, Robert F, 1994. "A Tale of Three Schools: Insights on Autocorrelations of Short-Horizon Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 539-573.
    24. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    25. Allaudeen Hameed & Yuanto Kusnadi, 2006. "Stock Return Cross-Autocorrelations and Market Conditions in Japan," The Journal of Business, University of Chicago Press, vol. 79(6), pages 3029-3056, November.
    26. Badrinath, S G & Kale, Jayant R & Noe, Thomas H, 1995. "Of Shepherds, Sheep, and the Cross-autocorrelations in Equity Returns," Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 401-430.
    27. McQueen, Grant & Pinegar, Michael & Thorley, Steven, 1996. " Delayed Reaction to Good News and the Cross-Autocorrelation of Portfolio Returns," Journal of Finance, American Finance Association, vol. 51(3), pages 889-919, July.
    28. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    29. Chen, Nai-fu & Kan, Raymond & Miller, Merton H, 1993. " Are the Discounts on Closed-End Funds a Sentiment Index? A Rejoinder," Journal of Finance, American Finance Association, vol. 48(2), pages 809-810, June.
    30. Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
    31. Kim, Kenneth A. & Nofsinger, John R., 2008. "Behavioral finance in Asia," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 1-7, January.
    32. Sjoo, Boo & Zhang, Jianhua, 2000. "Market segmentation and information diffusion in China's stock markets," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 421-438, December.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    market condition; policy change; information diffusion; intra-industry; China;

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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