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Intraday return and order imbalance relation in NASDAQ speculative new highs

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  • Yongchern Su
  • Weiling Tseng
  • Peiwen Chen

Abstract

According to previous studies, speculative trades generate positively autocorrelated returns. Therefore, we focus on speculative stocks that reach to 52-week new high records. They might be possibly with more information inside because they have kept good performance in earnings or revenues. Order imbalance (OI) is employed as a proxy of information asymmetry in this article. Relation between intraday return and OI is investigated under a time-varying framework. A contemporaneous significant positive relation exists in all kinds of interval tests, especially for 90-second and 3-minute intervals. The coefficients of lagged OIs are negative but not significant. It can be explained as asymmetric information effect. After controlling for contemporaneous OI, it shows continuation in lag-one relations in 90-second interval. In 3-minute and 15-minute interval tests, the results are mixed. Finally, the relation of contemporaneous coefficients and market capitalization is significantly negative. It implies that there is more information asymmetry in smaller firms.

Suggested Citation

  • Yongchern Su & Weiling Tseng & Peiwen Chen, 2009. "Intraday return and order imbalance relation in NASDAQ speculative new highs," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 863-869.
    • Handle: RePEc:taf:apeclt:v:16:y:2009:i:8:p:863-869
    DOI: 10.1080/17446540802277195
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    1. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    2. 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.
    3. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    4. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Order Imbalance, Liquidity, and Market Returns," University of California at Los Angeles, Anderson Graduate School of Management qt7gh9t9w3, Anderson Graduate School of Management, UCLA.
    5. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    6. Morse, Dale, 1980. "Asymmetrical Information in Securities Markets and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(5), pages 1129-1148, December.
    7. 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.
    8. 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.
    9. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    10. Ho, Thomas S Y & Stoll, Hans R, 1983. "The Dynamics of Dealer Markets under Competition," Journal of Finance, American Finance Association, vol. 38(4), pages 1053-1074, September.
    11. Foster, F Douglas & Viswanathan, S, 1996. "Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
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    Cited by:

    1. Han-ching Huang & Yong-chern Su & Szu-Chieh Yang, 2019. "Illiquid Trades on Insurance Companies in Financial Crisis," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(5), pages 1-5.

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