Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3446922.3446934acmotherconferencesArticle/Chapter ViewAbstractPublication PagesebeeConference Proceedingsconference-collections
research-article

Market Segmentation and Post Earnings Announcement Drift: Evidence from China

Published: 19 March 2021 Publication History
  • Get Citation Alerts
  • Abstract

    This paper examines whether and how changes in the information and trading environments of the Shanghai and Hong Kong markets impact the post earnings-announcement drift (PEAD) of cross-listing A-H shares after the implementation of the Shanghai-Hong Kong Connect. Our empirical evidence shows that there is a decrease in the PEAD in the Shanghai market and an increase in the PEAD in the Hong Kong market. We provide explanations for the different PEAD in the two markets based on the changes in asymmetric information, different risk preferences and demand differences. Our findings complement the literature on PEAD.

    References

    [1]
    Abdel-Khalik, R., Wong, K. A., and Wu, A., (1999). The information environment of China's A and B-shares: can we make sense of the numbers? International journal of accounting 34, 467–489.
    [2]
    Aboody, D., Hughes, J., and Liu, J., (2002). Measuring value-relevance in a (possible) inefficient market. Journal of accounting research 40, 4: 965–986.
    [3]
    Aitken, M., Ji, S., Mollica, V., Wang, Xiaotong., (2017). The Impact of the Shanghai–Hong Kong connect on Market Liquidity and Price Divergence, Conference Article.
    [4]
    Bernard, V. L. and Thomas, J. K., (1989), Post-Earnings-Announcement Drift: Delayed Price Response or Risk Premium? Journal of Accounting Research, 27, 1-36.
    [5]
    Bird, R., Yeung, D., 2012. How do investors react under uncertainty? Pacific-Basin Finance Journal 20, 310–331.
    [6]
    Chai, J., Yu, M., Lin, J., (2016). Commonality in liquidity; Commonality in turnover; Commonality in return; Shanghai-Hong Kong Stock Connect Program, National Chiao Tung University. Thesis.
    [7]
    Chakrabarty, B., Moulton, P.C., (2012). Earnings announcements and attention constraints: the role of market design. Journal of Accounting and Economics 53, 612–634.
    [8]
    Foster, G., Olsen, C. and Shevlin, T., (1984), Earnings Releases, Anomalies, and the Behavior of Security Returns. The Accounting Review 59, 574-603.
    [9]
    Hirshleifer, D., Lim, S., Teoh, S., (2009). Driven to Distraction: extraneous events and underreaction to earnings news. Journal of Finance 5, 2289–2325.
    [10]
    Hong, Harrison G., Jose A. Scheinkman, and Wei Xiong., (2006), Asset float and speculative bubbles, Journal of Finance 61, 1073–1117.
    [11]
    Mendenhall, R.R., (2004). Arbitrage risk and post-earnings-announcement drift. Journal of Business 77, 875–894.
    [12]
    Sadka, R., (2006). Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk. Journal of Financial Economics 80, 309–349.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    EBEE '20: Proceedings of the 2020 2nd International Conference on E-Business and E-commerce Engineering
    December 2020
    79 pages
    ISBN:9781450388924
    DOI:10.1145/3446922
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 March 2021

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Asymmetric Information
    2. Demand Difference JEL: G14
    3. Different Risk Preference
    4. G15
    5. M40
    6. Post Earnings-Announcement Drift
    7. Shanghai-Hong Kong Connect

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    EBEE 2020

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 55
      Total Downloads
    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 26 Jul 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media