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Convergence to market efficiency of top gainers

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  • Su, Yong-Chern
  • Huang, Han-Ching
  • Hsu, Ming-Wei
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    Abstract

    This study investigates the convergence process toward efficiency of daily top gainers. The convergence process toward efficiency is much clearer as a result of using a GARCH(1, 1) model compared to the OLS model, and exhibits a monotonic decline as the time interval increases. The relationship between volatility and order imbalances is, however, not strong enough, suggesting that market makers do have the capability to reduce price volatility. This study develops an imbalance-based trading strategy, which earns a positive profit but fails to outperform the buy-and-hold strategy (i.e., open-to-close returns). A nested causality approach, which examines the dynamic return-order imbalance relationship during the price-formation process, confirms the results.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Banking & Finance.

    Volume (Year): 34 (2010)
    Issue (Month): 9 (September)
    Pages: 2230-2237

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    Handle: RePEc:eee:jbfina:v:34:y:2010:i:9:p:2230-2237

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    Web page: http://www.elsevier.com/locate/jbf

    Related research

    Keywords: Order imbalance Information asymmetry Volatility Market efficiency Causality relationship;

    References

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    1. Chen, Chung & Wu, Chunchi, 1999. "The dynamics of dividends, earnings and prices: evidence and implications for dividend smoothing and signaling," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 29-58, January.
    2. Darrat, Ali F. & Zhong, Maosen & Cheng, Louis T.W., 2007. "Intraday volume and volatility relations with and without public news," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2711-2729, September.
    3. Visaltanachoti, Nuttawat & Yang, Ting, 2010. "Speed of convergence to market efficiency for NYSE-listed foreign stocks," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 594-605, March.
    4. Durham, J. Benson, 2001. "Sensitivity analyses of anomalies in developed stock markets," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1503-1541, August.
    5. Brown, Philip & Walsh, David & Yuen, Andrea, 1997. "The interaction between order imbalance and stock price," Pacific-Basin Finance Journal, Elsevier, vol. 5(5), pages 539-557, December.
    6. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2005. "Evidence on the speed of convergence to market efficiency," Journal of Financial Economics, Elsevier, vol. 76(2), pages 271-292, May.
    7. Huang, Dayong & Wang, Fang, 2009. "Cash, investments and asset returns," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2301-2311, December.
    8. YongChern Su & HanChing Huang, 2008. "Dynamic causality between intraday return and order imbalance in NASDAQ speculative top gainers," Applied Financial Economics, Taylor & Francis Journals, vol. 18(18), pages 1489-1499.
    9. Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
    10. Chakrabarty, Bidisha & Li, Bingguang & Nguyen, Vanthuan & Van Ness, Robert A., 2007. "Trade classification algorithms for electronic communications network trades," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3806-3821, December.
    11. Aktas, Nihat & de Bodt, Eric & Van Oppens, Hervé, 2008. "Legal insider trading and market efficiency," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1379-1392, July.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. Rachev, Svetlozar & Jasic, Teo & Stoyanov, Stoyan & Fabozzi, Frank J., 2007. "Momentum strategies based on reward-risk stock selection criteria," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2325-2346, August.
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    Cited by:
    1. Chung, Dennis Y. & Hrazdil, Karel, 2012. "Speed of convergence to market efficiency: The role of ECNs," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 702-720.
    2. Asongu Simplice, 2012. "African Stock Market Performance Dynamics: A Multidimensional Convergence Assessment," Working Papers 12/004, African Governance and Development Institute..
    3. Sagarika Mishra & Paresh Kumar Narayan, 2010. "Do Market Capitalisation and Stocks Traded Converge? New Global Evidence," Economics Series 2010_11, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
    4. Yamamoto, Ryuichi, 2012. "Intraday technical analysis of individual stocks on the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3033-3047.
    5. Muresan Diana, 2013. "The Patterns Of Eu Stock Markets. Is There A Sign Of Convergence?," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1250-1265, July.

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