IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article

Buy and sell dynamics following high market returns: Evidence from China

  • Wongchoti, Udomsak
  • Wu, Fei
  • Young, Martin

We provide a closer look at the trading dynamics which may give rise to the positive relationship between market trading volume and its lagged returns. Chinese market turnover increases sharply with past day returns. A comprehensive dataset which facilitates the tracing of trading activities among different groups of investors reveals that when previous market returns are high, investors with larger (smaller) average trade size increase their buy (sell) volume. Our findings indicate an important role of differing responses to market information among different classes of investors (e.g. different priors) in explaining this recently documented phenomenon.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S1057-5219(09)00005-2
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal International Review of Financial Analysis.

Volume (Year): 18 (2009)
Issue (Month): 1-2 (March)
Pages: 12-20

as
in new window

Handle: RePEc:eee:finana:v:18:y:2009:i:1-2:p:12-20
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/620166

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Karpoff, Jonathan M, 1986. " A Theory of Trading Volume," Journal of Finance, American Finance Association, vol. 41(5), pages 1069-87, December.
  2. Glaser, Markus & Weber, Martin, 2009. "Which past returns affect trading volume?," Journal of Financial Markets, Elsevier, vol. 12(1), pages 1-31, February.
  3. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
  4. Wang, Jiang, 1959- & He, Hua., 1994. "Differential information and dynamic behavior of stock trading volume," Working papers 3731-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  5. Cooper, Michael, 1999. "Filter Rules Based on Price and Volume in Individual Security Overreaction," Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 901-35.
  6. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
  7. Lei Feng & Mark S. Seasholes, 2004. "Correlated Trading and Location," Journal of Finance, American Finance Association, vol. 59(5), pages 2117-2144, October.
  8. Shefrin, Hersh & Statman, Meir, 1985. " The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-90, July.
  9. Simon Gervais, 2001. "The High-Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, 06.
  10. Meir Statman & Steven Thorley & Keith Vorkink, 2006. "Investor Overconfidence and Trading Volume," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1531-1565.
  11. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
  12. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2001. "Dynamic Volume-Return Relation of Individual Stocks," NBER Working Papers 8312, National Bureau of Economic Research, Inc.
  13. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, 04.
  14. Demirer, RIza & Lien, Donald, 2005. "Correlation and return dispersion dynamics in Chinese markets," International Review of Financial Analysis, Elsevier, vol. 14(4), pages 477-491.
  15. Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
  16. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
  17. Dufour, Alfonso & Engle, Robert F, 1999. "Time and the Price Impact of a Trade," University of California at San Diego, Economics Working Paper Series qt62c0h04j, Department of Economics, UC San Diego.
  18. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
  19. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
  20. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
  21. Froot, Kenneth A. & O'Connell, Paul G. J. & Seasholes, Mark S., 2001. "The portfolio flows of international investors," Journal of Financial Economics, Elsevier, vol. 59(2), pages 151-193, February.
  22. Charles M.C. Lee & Bhaskaran Swaminathan, 2000. "Price Momentum and Trading Volume," Journal of Finance, American Finance Association, vol. 55(5), pages 2017-2069, October.
  23. Terrance Odean, 1998. "Volume, Volatility, Price and Profit When All Traders Are Above Average," Finance 9803001, EconWPA.
  24. 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.
  25. Harrison Hong & Jeremy C. Stein, 2007. "Disagreement and the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 109-128, Spring.
  26. Jin, Li & Myers, Stewart C., 2006. "R2 around the world: New theory and new tests," Journal of Financial Economics, Elsevier, vol. 79(2), pages 257-292, February.
  27. Kraus, Alan & Smith, Maxwell, 1989. " Market Created Risk," Journal of Finance, American Finance Association, vol. 44(3), pages 557-69, July.
  28. Goetzmann, William N. & Massa, Massimo, 2005. "Dispersion of opinion and stock returns," Journal of Financial Markets, Elsevier, vol. 8(3), pages 324-349, August.
  29. Hameed, Allaudeen & Ting, Serena, 2000. "Trading volume and short-horizon contrarian profits: Evidence from the Malaysian market," Pacific-Basin Finance Journal, Elsevier, vol. 8(1), pages 67-84, March.
  30. Wong, Woon K. & Tan, Dijun & Tian, Yixiang, 2009. "Informed trading and liquidity in the Shanghai Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 66-73, March.
  31. Jiang Wang, 1993. "A Model of Intertemporal Asset Prices Under Asymmetric Information," Review of Economic Studies, Oxford University Press, vol. 60(2), pages 249-282.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:finana:v:18:y:2009:i:1-2:p:12-20. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.