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Trading duration, mutual funds behavior and stock market shock: Based on ACD model to mine mutual funds investment behavior

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  • Zhang Zongxin
  • Zhang Xiao
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    Abstract

    Purpose–The purpose of this paper is to explain what information is contained in mutual funds' trading behaviors and to try to further assess the impact on the stock market. Design/methodology/approach–The objective is achieved by an empirical examination using the high-frequency intraday data. The main methods used for the research are the autoregressive conditional duration model and the UHF-GARCH model. Findings–This paper gives an empirical study of mutual funds' behavior on two aspects. The first aspect is the direct impact on micro variables. The results show that mutual funds changing their positions will have different influences to the spread, adding position broadens the spread, while decreasing position makes the spread narrow; behaviors of funds change the clustering characteristic of the duration. The second aspect is the impact on the relationships among micro variables. The results indicate that trading started by liquidity buyers will make volatility larger. Research limitations/implications–This paper supposes funds as informed traders and individual investors as liquidity traders in China's stock market. If it is not true, some interpretations of empirical results would be wrong. The authors' results may help researchers to understand the information content of funds' trading behaviors in the microstructure aspect. Originality/value–The paper is an original work, which will be interesting to scholars in market microstructure and to practitioners in the Chinese stock market. The main contributions of the paper are: the use of high-frequency data to study funds' behaviors and combine the trading duration and investors' trading behavior to analyze the information content of trading behaviors; second, the use of 14 stock samples in the Shanghai Stock Exchange to do the empirical study, which ensures the reliability of the results.

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    File URL: http://www.emeraldinsight.com/journals.htm?issn=2044-1398&volume=1&issue=3&articleid=1938087&show=abstract
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    Bibliographic Info

    Article provided by Emerald Group Publishing in its journal China Finance Review International.

    Volume (Year): 1 (2011)
    Issue (Month): 3 (June)
    Pages: 220-240

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    Handle: RePEc:eme:cfripp:v:1:y:2011:i:3:p:220-240

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    Web page: http://www.emeraldinsight.com

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    Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK
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    Related research

    Keywords: China; Information; Market volatility; Mutual funds' behaviour; Stock markets; Trading duration;

    References

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    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.:
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    1. Manganelli, Simone, 2005. "Duration, volume and volatility impact of trades," Journal of Financial Markets, Elsevier, vol. 8(4), pages 377-399, November.
    2. FERNANDES, Marcelo & GRAMMIG, Joachim, 2001. "A family of autoregressive conditional duration models," CORE Discussion Papers 2001036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    4. 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.
    5. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    6. Meitz, Mika & Terasvirta, Timo, 2006. "Evaluating Models of Autoregressive Conditional Duration," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 104-124, January.
    7. 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.
    8. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    9. Georges Dionne & Pierre Duchesne & Maria Pacurar, 2005. "Intraday Value at Risk (IVaR) Using Tick-by-Tick Data with Application to the Toronto Stock Exchange," Cahiers de recherche 0533, CIRPEE.
    10. Alfonso Dufour & Robert F Engle, 2000. "The ACD Model: Predictability of the Time Between Concecutive Trades," ICMA Centre Discussion Papers in Finance icma-dp2000-05, Henley Business School, Reading University.
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