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Government intervention and institutional trading strategy: Evidence from a transition country

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  • Yao, Yi
  • Yang, Rong
  • Liu, Zhiyuan
  • Hasan, Iftekhar

Abstract

This study investigates the effectiveness of government intervention in rescuing bearish markets in a transition economy. Focusing on a pre- and a post-intervention period, the findings reveal that government intervention successfully rescued bearish markets in China and led to a fundamental change in institutional trading strategy after the intervention. We observe that following an intervention, institutions are more sensitive to long-term stock market regulations, whereas individual investors are more concerned about the rules related to their short-term interests. Evidence suggests that a credible signal from the government can be helpful in creating a positive outcome in the market (Bhanot and Kadapakkam, 2006). The findings are important to the current debate regarding the role of govern-ment intervention in markets in other transitional economies, as well as in developed countries.

Suggested Citation

  • Yao, Yi & Yang, Rong & Liu, Zhiyuan & Hasan, Iftekhar, 2012. "Government intervention and institutional trading strategy: Evidence from a transition country," BOFIT Discussion Papers 9/2012, Bank of Finland Institute for Emerging Economies (BOFIT).
  • Handle: RePEc:zbw:bofitp:bdp2012_009
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    1. Lakonishok, Josef, et al, 1991. "Window Dressing by Pension Fund Managers," American Economic Review, American Economic Association, vol. 81(2), pages 227-231, May.
    2. Paul A. Gompers & Andrew Metrick, 2001. "Institutional Investors and Equity Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 229-259.
    3. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2002. "Breadth of ownership and stock returns," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 171-205.
    4. Wang, Steven Shuye & Meng Rui, Oliver & Firth, Michael, 2002. "Return and volatility behavior of dually-traded stocks: the case of Hong Kong," Journal of International Money and Finance, Elsevier, vol. 21(2), pages 265-293, April.
    5. Marcus Miller & Paul Weller & Lei Zhang, 2002. "Moral Hazard and the US Stock Market: Analysing the "Greenspan Put"," Economic Journal, Royal Economic Society, vol. 112(478), pages 171-186, March.
    6. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    7. Robert Connolly & Chris Stivers, 2003. "Momentum and Reversals in Equity‐Index Returns During Periods of Abnormal Turnover and Return Dispersion," Journal of Finance, American Finance Association, vol. 58(4), pages 1521-1556, August.
    8. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    9. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    10. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    11. Richard W. Sias, 2007. "Reconcilable Differences: Momentum Trading by Institutions," The Financial Review, Eastern Finance Association, vol. 42(1), pages 1-22, February.
    12. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    13. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    14. S.G. Badrinath & Sunil Wahal, 2002. "Momentum Trading by Institutions," Journal of Finance, American Finance Association, vol. 57(6), pages 2449-2478, December.
    15. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    16. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    17. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    18. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    19. Sadhana Alangar & Chenchuramaiah T. Bathala & Ramesh P. Rao, 1999. "The Effect Of Institutional Interest On The Information Content Of Dividend-Change Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 429-448, December.
    20. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    21. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    22. Abreu, Dilip & Brunnermeier, Markus K., 2002. "Synchronization risk and delayed arbitrage," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 341-360.
    23. Maroney, Neal & Naka, Atsuyuki & Wansi, Theresia, 2004. "Changing Risk, Return, and Leverage: The 1997 Asian Financial Crisis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(1), pages 143-166, March.
    24. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    25. Sadhana Alangar & Chenchuramaiah T. Bathala & Ramesh P. Rao, 1999. "The Effect Of Institutional Interest On The Information Content Of Dividend-Change Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 429-448, December.
    26. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    27. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    28. James A. Bennett, 2003. "Greener Pastures and the Impact of Dynamic Institutional Preferences," The Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1203-1238.
    29. Su, Yuli & Yip, Yewmun & Wong, Rickie W., 2002. "The impact of government intervention on stock returns: Evidence from Hong Kong," International Review of Economics & Finance, Elsevier, vol. 11(3), pages 277-297.
    30. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
    31. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    32. Falkenstein, Eric G, 1996. "Preferences for Stock Characteristics as Revealed by Mutual Fund Portfolio Holdings," Journal of Finance, American Finance Association, vol. 51(1), pages 111-135, March.
    33. Karan Bhanot, 2006. "Anatomy of a Government Intervention in Index Stocks: Price Pressure or Information Effects?," The Journal of Business, University of Chicago Press, vol. 79(2), pages 963-986, March.
    34. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    35. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    36. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    37. Richard W. Sias & Laura T. Starks, 2006. "Changes in Institutional Ownership and Stock Returns: Assessment and Methodology," The Journal of Business, University of Chicago Press, vol. 79(6), pages 2869-2910, November.
    38. Patrick J. Dennis & Deon Strickland, 2002. "Who Blinks in Volatile Markets, Individuals or Institutions?," Journal of Finance, American Finance Association, vol. 57(5), pages 1923-1949, October.
    39. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
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    More about this item

    Keywords

    Government Intervention; Institutional Trading Strategy;

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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