Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3446569.3446571acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicsebConference Proceedingsconference-collections
research-article

Post-Earnings Announcement Drift in Multimarket Setting

Published: 25 March 2021 Publication History
  • Get Citation Alerts
  • Abstract

    This paper investigates the post-earnings announcement drift (PEAD) in the multiple markets and finds its determinants in an international setting. Using the Shenzhen-Hong Kong Connect, we investigate whether and how an exogenous event in the segmented markets affect the post earnings announcement drift in the multimarket setting. We find that the PEAD declines after the launch of Shenzhen-Hong Kong Connect in both A-share market and Hong Kong market. Then, we further investigate the multifactorial causes of the PEAD and our findings suggest that the PEAD is directly driven by investors’ limited attention and limits to arbitrage. These findings support the mispricing explanation of the PEAD in multimarket setting. We also find that the improvement of liquidity and volatility influences the determinants of the PEAD. Finally, our findings provide the evidence that the information asymmetry is the potential cause of the PEAD.

    References

    [1]
    Angrist, J., and A. Krueger. 2001. Instrumental variables and the search for identification: From supply and demand to natural experiments. Journal of Economic Perspectives 15, 69–85.
    [2]
    Ball R., Brown P. An Empirical Evaluation of Accounting Income Numbers. Journal of Accounting Research 6, 159-178.
    [3]
    Griffin, J, P. Kelly, and F. Nardari. 2010. Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review ofFinancial Studies 23, 3225–77.
    [4]
    Bernard, V. L., Thomas, J. K., & Ball, R., 1990. Evidence That Stock Prices do not fully reflect the Imolications of current earnings for future earnings. Journal of Acconting and Economics 13, 305–340.
    [5]
    Barberis, N., A. Shleifer, and R. Vishny. 1998. Amodel of investor sentiment. Journal of Financial Economics 49, 307–43.
    [6]
    Mendenhall, R. R., 2017. Arbitrage Risk and Post-Earnings-Announcement Drift. The Journal of Business 77, 875–894.
    [7]
    Hung, M., Li, X., Wang, S.,. 2015. Post-earnings-announcement drift in global markets: Evidence from an information shock. Review of Financial Studies 28, 1242–1283.
    [8]
    Sadka, R., 2006. Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk. Journal of Financial Economics 80, 309–349.
    [9]
    Bhushan.R,1994, An informational efficiency perspective on the post-earnings announcement drift, Journal of Accounting and Economics, 18(1):45-67.
    [10]
    Hirshleifer, D., S. S. Lim, and S. H. Teoh. 2009. Driven to distraction: Extraneous events and underreaction to earnings news. Journal ofFinance 64, 2289–325.
    [11]
    Fama E. F., MacBeth J. D. 1973. Risk, return, and equilibrium: Empirical tests. Journal of political economy 81, 607-636.
    [12]
    Sadka, G., Sadka, R. The Post-Earnings-Announcement Drift and Liquidity: Level, Risk, and profitability of Trading. 2004. Working paper.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICSEB '20: Proceedings of the 2020 4th International Conference on Software and e-Business
    December 2020
    119 pages
    ISBN:9781450388849
    DOI:10.1145/3446569
    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: 25 March 2021

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICSEB 2020

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 188
      Total Downloads
    • Downloads (Last 12 months)8
    • 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