IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v20y2009i3p527-541.html
   My bibliography  Save this article

Intraday information efficiency on the Chinese equity market

Author

Listed:
  • Chen, Tao
  • Cai, Jun
  • Ho, Richard Y.K.

Abstract

Bid-ask spread is a direct measure of information asymmetry. As such, it can be used to evaluate information efficiency. In this paper, we show that both the quoted and effective spreads on the Shanghai Stock Exchange are extremely high at the open, decrease over the trading day, and experience a small rebound at the close. The spread decreases with share volume, daily trades, and market capitalization, but increases with average trade size. We further examine the beta using the unbiasedness regression from Biais et al. [Biais, B., Hillion, P., Spatt, C. (1999). Price discovery and learning during the pre-opening period in the Paris Bourse. Journal of Political Economy, 107, 1218-1248] and find that intraday prices are efficient and unbiased for more liquid stocks. This suggests that liquidity prompts information-motivated trading, which, in turn, improves information dissemination. Moreover, our findings indicate that small and medium trades are more likely to facilitate the formation of efficient prices at the open and close of the market, while large trades play a more important role during the other trading periods.

Suggested Citation

  • Chen, Tao & Cai, Jun & Ho, Richard Y.K., 2009. "Intraday information efficiency on the Chinese equity market," China Economic Review, Elsevier, vol. 20(3), pages 527-541, September.
  • Handle: RePEc:eee:chieco:v:20:y:2009:i:3:p:527-541
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043-951X(09)00039-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chung, Kee H. & Van Ness, Bonnie F. & Van Ness, Robert A., 1999. "Limit orders and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 53(2), pages 255-287, August.
    2. Wurgler, Jeffrey, 2000. "Financial markets and the allocation of capital," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 187-214.
    3. Michael J. Barclay & Terrence Hendershott, 2004. "Liquidity Externalities and Adverse Selection: Evidence from Trading after Hours," Journal of Finance, American Finance Association, vol. 59(2), pages 681-710, April.
    4. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    5. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 499-518, December.
    6. Barclay, Michael J. & Hendershott, Terrence, 2008. "A comparison of trading and non-trading mechanisms for price discovery," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 839-849, December.
    7. Michael J. Barclay, 2003. "Price Discovery and Trading After Hours," Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1041-1073.
    8. Madhavan, Ananth, 1992. "Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
    9. Comerton-Forde, Carole & Rydge, James, 2006. "The influence of call auction algorithm rules on market efficiency," Journal of Financial Markets, Elsevier, vol. 9(2), pages 199-222, May.
    10. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    11. Chan, K C & Christie, William G & Schultz, Paul H, 1995. "Market Structure and the Intraday Pattern of Bid-Ask Spreads for NASDAQ Securities," The Journal of Business, University of Chicago Press, vol. 68(1), pages 35-60, January.
    12. Flood, Mark D, et al, 1999. "Quote Disclosure and Price Discovery in Multiple-Dealer Financial Markets," Review of Financial Studies, Society for Financial Studies, vol. 12(1), pages 37-59.
    13. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    14. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    15. Charles Cao & Eric Ghysels & Frank Hatheway, 2000. "Price Discovery without Trading: Evidence from the Nasdaq Preopening," Journal of Finance, American Finance Association, vol. 55(3), pages 1339-1365, June.
    16. Chen, Tao & Li, Jie & Cai, Jun, 2008. "Information content of inter-trade time on the Chinese market," Emerging Markets Review, Elsevier, vol. 9(3), pages 174-193, September.
    17. Ellul, Andrew & Shin, Hyun Song & Tonks, Ian, 2005. "Opening and Closing the Market: Evidence from the London Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(4), pages 779-801, December.
    18. Avanidhar Subrahmanyam & Sheridan Titman, 2001. "Feedback from Stock Prices to Cash Flows," Journal of Finance, American Finance Association, vol. 56(6), pages 2389-2413, December.
    19. Ciccotello, Conrad S. & Hatheway, Frank M., 2000. "Indicating Ahead: Best Execution and the NASDAQ Preopening," Journal of Financial Intermediation, Elsevier, vol. 9(2), pages 184-212, April.
    20. Davies, Ryan J., 2003. "The Toronto Stock Exchange preopening session," Journal of Financial Markets, Elsevier, vol. 6(4), pages 491-516, August.
    21. Madhavan, Ananth & Panchapagesan, Venkatesh, 2000. "Price Discovery in Auction Markets: A Look Inside the Black Box," Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 627-658.
    22. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    23. Bruno Biais & Pierre Hillion & Chester Spatt, 1999. "Price Discovery and Learning during the Preopening Period in the Paris Bourse," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1218-1248, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ma, Rui & Anderson, Hamish D. & Marshall, Ben R., 2018. "Stock market liquidity and trading activity: Is China different?," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 32-51.
    2. Yingyi Hu, 2019. "Short-horizon market efficiency, order imbalance, and speculative trading: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 281(1), pages 253-274, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anagnostidis, Panagiotis & Kanas, Angelos & Papachristou, George, 2015. "Information revelation in the Greek exchange opening call: Daily and intraday evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 167-184.
    2. Ibikunle, Gbenga, 2015. "Opening and closing price efficiency: Do financial markets need the call auction?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 208-227.
    3. Laurence Lescourret, 2017. "Cold Case File? Inventory Risk and Information Sharing during the pre†1997 NASDAQ," European Financial Management, European Financial Management Association, vol. 23(4), pages 761-806, September.
    4. Anagnostidis, Panagiotis & Fontaine, Patrice & Varsakelis, Christos, 2020. "Are high–frequency traders informed?," Economic Modelling, Elsevier, vol. 93(C), pages 365-383.
    5. Panagiotis Anagnostidis & Patrice Fontaine & Christos Varsakelis, 2020. "Are high–frequency traders informed?," Post-Print hal-03062831, HAL.
    6. Moshirian, Fariborz & Nguyen, Huong Giang (Lily) & Pham, Peter Kien, 2012. "Overnight public information, order placement, and price discovery during the pre-opening period," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2837-2851.
    7. Barclay, Michael J. & Hendershott, Terrence, 2008. "A comparison of trading and non-trading mechanisms for price discovery," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 839-849, December.
    8. Nguyen, Vanthuan & Phengpis, Chanwit, 2009. "An analysis of the opening mechanisms of Exchange Traded Fund markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 562-577, May.
    9. Laurence Lescourret, 2012. "Non-fundamental Information and Market-makers' Behavior during the NASDAQ Preopening Session," Post-Print hal-00772798, HAL.
    10. Agarwalla, Sobhesh Kumar & Jacob, Joshy & Pandey, Ajay, 2015. "Impact of the introduction of call auction on price discovery: Evidence from the Indian stock market using high-frequency data," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 167-178.
    11. Chakrabarty, Bidisha & Corwin, Shane A. & Panayides, Marios A., 2011. "When a halt is not a halt: An analysis of off-NYSE trading during NYSE market closures," Journal of Financial Intermediation, Elsevier, vol. 20(3), pages 361-386, July.
    12. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti G. & Uno, Jun & Yuferova, Darya, 2017. "Low-latency trading and price discovery: Evidence from the Tokyo Stock Exchange in the pre-opening and opening periods," SAFE Working Paper Series 144, Leibniz Institute for Financial Research SAFE, revised 2017.
    13. Jos, van Bommel, 2011. "Measuring price discovery: The variance ratio, the R2, and the weighted price contribution," Finance Research Letters, Elsevier, vol. 8(3), pages 112-119, September.
    14. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti & Uno, Jun & Yuferova, Darya, 2017. "Coming early to the party," SAFE Working Paper Series 182, Leibniz Institute for Financial Research SAFE.
      • Mario Bellia & Loriana Pelizzon & Marti G. Subrahmanyam & Jun Uno & Darya Yuferova, 2020. "Coming early to the party," Working Papers 2020:11, Department of Economics, University of Venice "Ca' Foscari".
    15. Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2008. "The quality of price formation at market openings and closings: Evidence from the Nasdaq stock market," CFS Working Paper Series 2008/45, Center for Financial Studies (CFS).
    16. Comerton-Forde, Carole & Rydge, James, 2006. "The influence of call auction algorithm rules on market efficiency," Journal of Financial Markets, Elsevier, vol. 9(2), pages 199-222, May.
    17. Selma Boussetta, 2017. "The role of pre-opening mechanisms in fragmented markets," Post-Print hal-02156145, HAL.
    18. Dinabandhu Bag, 2019. "Information Content Of Stocks In Call Auction Of Shorter Duration In Emerging Market," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 8(4), pages 113-132.
    19. Miao Luo & Tao Chen & Isabel Yan, 2014. "Price informativeness and institutional ownership: evidence from Japan," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 627-651, May.
    20. Xiao, Xijuan & Yamamoto, Ryuichi, 2020. "Price discovery, order submission, and tick size during preopen period," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chieco:v:20:y:2009:i:3:p:527-541. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/chieco .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.