IDEAS home Printed from https://ideas.repec.org/a/eee/corfin/v82y2023ics0929119923001207.html
   My bibliography  Save this article

Earnings announcements in China: Overnight-intraday disparity

Author

Listed:
  • Liu, Junhao
  • Hope, Ole-Kristian
  • Hu, Danqi

Abstract

Based on a unique arrangement of trading and disclosure times around earnings announcements in the Chinese stock market, we provide evidence of a striking overnight-intraday disparity in terms of the reaction to earnings news. Specifically, we find that the overnight period exhibits a strong and consistent reaction to earnings announcements, whereas the intraday period trades against both the earnings news and the prior market reaction during the overnight period. In addition, we show that abnormal overnight returns on earnings announcement days exhibit strong predictability for future stock returns, consistent with the overnight returns containing value-relevant signals. In contrast, we observe no return predictability for abnormal intraday returns on earnings announcement days, which as a result, also undermines the return predictability of abnormal daily returns. We propose possible explanations for the overnight-intraday disparity. We conclude that the differences in trading mechanisms between the two periods as well as in investor composition likely drive the phenomenon.

Suggested Citation

  • Liu, Junhao & Hope, Ole-Kristian & Hu, Danqi, 2023. "Earnings announcements in China: Overnight-intraday disparity," Journal of Corporate Finance, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:corfin:v:82:y:2023:i:c:s0929119923001207
    DOI: 10.1016/j.jcorpfin.2023.102471
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0929119923001207
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcorpfin.2023.102471?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. 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.
    2. Beyer, Anne & Cohen, Daniel A. & Lys, Thomas Z. & Walther, Beverly R., 2010. "The financial reporting environment: Review of the recent literature," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 296-343, December.
    3. Beaver, William H. & McNichols, Maureen F. & Wang, Zach Z., 2020. "Increased market response to earnings announcements in the 21st century: An Empirical Investigation," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    4. Collins, Daniel W. & Kothari, S. P., 1989. "An analysis of intertemporal and cross-sectional determinants of earnings response coefficients," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 143-181, July.
    5. Madhavan, Ananth & Panchapagesan, Venkatesh, 2000. "Price Discovery in Auction Markets: A Look Inside the Black Box," The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 627-658.
    6. Mingyi Hung & Xi Li & Shiheng Wang, 2015. "Post-Earnings-Announcement Drift in Global Markets: Evidence from an Information Shock," The Review of Financial Studies, Society for Financial Studies, vol. 28(4), pages 1242-1283.
    Full references (including those not matched with items on IDEAS)

    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. Nicholas Guest & Jaewoo Kim, 2024. "The media response to a loss of analyst coverage," Review of Accounting Studies, Springer, vol. 29(4), pages 3752-3787, December.
    2. Tao Chen & Robert K. Larson & Han Mo, 2024. "Investor Herding and Price Informativeness in Global Markets: Evidence from Earnings Announcements," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 25(1), pages 92-110, January.
    3. 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".
    4. Selma Boussetta, 2017. "The role of pre-opening mechanisms in fragmented markets," Post-Print hal-02156145, HAL.
    5. Anagnostidis, Panagiotis & Fontaine, Patrice & Varsakelis, Christos, 2020. "Are high–frequency traders informed?," Economic Modelling, Elsevier, vol. 93(C), pages 365-383.
    6. Jonnergård, Karin & von Koch, Christopher & Nilsson, Ola, 2020. "Information environment – An exploration and clarification of the concept based on prior literature," Advances in accounting, Elsevier, vol. 50(C).
    7. Ertimur, Yonca & Sletten, Ewa & Sunder, Jayanthi, 2014. "Large shareholders and disclosure strategies: Evidence from IPO lockup expirations," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 79-95.
    8. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    9. Fargher, Neil & Wee, Marvin, 2019. "The impact of Ball and Brown (1968) on generations of research," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 55-72.
    10. Huang, Haijie & Lee, Edward & Lyu, Changjiang & Zhu, Zhenmei, 2016. "The effect of accounting academics in the boardroom on the value relevance of financial reporting information," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 18-30.
    11. Xiao, Xijuan & Yamamoto, Ryuichi, 2024. "Overnight earnings announcements and preopening price discovery," Japan and the World Economy, Elsevier, vol. 70(C).
    12. Stephen Taylor & Alex Tong, 2023. "How important are semi‐annual earnings announcements? An information event perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 3585-3607, September.
    13. Panagiotis Anagnostidis & Patrice Fontaine & Christos Varsakelis, 2020. "Are high–frequency traders informed?," Post-Print hal-03062831, HAL.
    14. Crawley, Michael & Wahlen, James, 2014. "Analytics in empirical/archival financial accounting research," Business Horizons, Elsevier, vol. 57(5), pages 583-593.
    15. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.
    16. Lin, Lin & Pun, Ngou Teng & Sun, Ping-Wen, 2024. "Impact of investor trust on public firms’ stock price efficiency and cost of capital: Insights from a firm-level measure for investor trust," Economic Modelling, Elsevier, vol. 138(C).
    17. Black, Dirk & Neururer, Thaddeus, 2024. "Do analysts provide information about other comprehensive income in book value forecasts for financial firms?," Advances in accounting, Elsevier, vol. 64(C).
    18. Wenjing Li & Jeff Ng & Albert Tsang & Oktay Urcan, 2019. "Country-level institutions and management earnings forecasts," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(1), pages 48-82, February.
    19. Ormazabal, Gaizka & Duro, Miguel & Heese, Jonas, 2017. "Does the Public Disclosure of the SEC’s Oversight Actions Matter?," CEPR Discussion Papers 12145, C.E.P.R. Discussion Papers.
    20. Lin, K.C., 2017. "Quality concerns over managers' quarterly earnings guidance," Advances in accounting, Elsevier, vol. 38(C), pages 113-125.

    More about this item

    Keywords

    Earnings news; Earnings announcements; Overnight returns; Intraday returns China;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    Statistics

    Access and download statistics

    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:corfin:v:82:y:2023:i:c:s0929119923001207. 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/jcorpfin .

    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.