IDEAS home Printed from https://ideas.repec.org/a/bla/joares/v24y1986i1p76-96.html
   My bibliography  Save this article

Analyses Of The Distribution Of Security Market Model Prediction Errors For Daily Returns Data

Author

Listed:
  • JAIN, PC

Abstract

No abstract is available for this item.

Suggested Citation

  • Jain, Pc, 1986. "Analyses Of The Distribution Of Security Market Model Prediction Errors For Daily Returns Data," Journal of Accounting Research, Wiley Blackwell, vol. 24(1), pages 76-96.
    • Handle: RePEc:bla:joares:v:24:y:1986:i:1:p:76-96
    DOI: http://hdl.handle.net/10.2307/2490805
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/pdf/2490805.pdf
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.2307/2490805?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
    ---><---

    Citations

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


    Cited by:

    1. Stephen G. Hall & Amangeldi Kenjegaliev, 2017. "The effect of oil price changes on the price of Russian and Chinese oil shares," Empirical Economics, Springer, vol. 53(4), pages 1639-1656, December.
    2. Jana P. Fidrmuc & Marc Goergen & Luc Renneboog, 2006. "Insider Trading, News Releases, and Ownership Concentration," Journal of Finance, American Finance Association, vol. 61(6), pages 2931-2973, December.
    3. Christian Beer & Janine Maniora & Christiane Pott, 2023. "COVID-19 pandemic and capital markets: the role of government responses," Journal of Business Economics, Springer, vol. 93(1), pages 11-57, January.
    4. Jana P. Fidrmuc & Marc Goergen & Luc Renneboog, 2006. "Insider Trading, News Releases, and Ownership Concentration," Journal of Finance, American Finance Association, vol. 61(6), pages 2931-2973, December.
    5. Sadok El Ghoul & Omrane Guedhami & Sattar A. Mansi & Oumar Sy, 2023. "Event studies in international finance research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(2), pages 344-364, March.
    6. Howard Chan & Robert Faff & Alan Ramsay, 2005. "Firm Size and the Information Content of Annual Earnings Announcements: Australian Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(1‐2), pages 211-253, January.
    7. Howard Chan & Robert Faff & Alan Ramsay, 2005. "Firm Size and the Information Content of Annual Earnings Announcements: Australian Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(1‐2), pages 211-253, January.
    8. Ramesh Chandra & Kermit J. Rohrbach & G. Lee Willinger, 1992. "Longitudinal rank tests for detecting location shift in the distribution of abnormal returns: An extension," Contemporary Accounting Research, John Wiley & Sons, vol. 9(1), pages 296-305, September.
    9. Olibe, Kingsley O., 2016. "Security Returns and Volume Responses Around International Financial Reporting Standards (IFRS) Earnings Announcements," The International Journal of Accounting, Elsevier, vol. 51(2), pages 240-265.
    10. Tommy Lundgren & Rickard Olsson, 2010. "Environmental incidents and firm value-international evidence using a multi-factor event study framework," Applied Financial Economics, Taylor & Francis Journals, vol. 20(16), pages 1293-1307.
    11. Ramesh Chandra & Kermit Rohrbach, 1990. "A methodological note on detecting a location shift in the distribution of abnormal returns: A nonparametric approach," Contemporary Accounting Research, John Wiley & Sons, vol. 7(1), pages 123-141, September.
    12. Alexander, John C. & Barnhart, Scott W. & Rosenstein, Stuart, 2007. "Do investor perceptions of corporate governance initiatives affect firm value: The case of TIAA-CREF," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(2), pages 198-214, May.
    13. Wolfgang Bessler & Wolfgang Drobetz & Julian Holler, 2015. "The Returns to Hedge Fund Activism in Germany," European Financial Management, European Financial Management Association, vol. 21(1), pages 106-147, January.
    14. Morresi, Ottorino & Pezzi, Alberto, 2011. "21 years of international M&As and joint ventures by Italian medium-sized listed firms: Value creation or value destruction?," Research in International Business and Finance, Elsevier, vol. 25(1), pages 75-87, January.
    15. Hecker, Renate & Wild, Andreas, 2012. "The market effects of the German two-tier enforcement of financial reporting," Tübinger Diskussionsbeiträge 334, University of Tübingen, School of Business and Economics.
    16. Corrado, Charles J. & Truong, Cameron, 2008. "Conducting event studies with Asia-Pacific security market data," Pacific-Basin Finance Journal, Elsevier, vol. 16(5), pages 493-521, November.
    17. Ravi Bhushan, 1993. "Cross†Sectional Dependence and the Use of Generalized Least Squares," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 450-462, March.
    18. Bing Xiang, 1993. "The Choice of Return†Generating Models and Cross†Sectional Dependence in Event Studies," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 365-394, March.
    19. Lytle, Laurian Casson & Joy, O. Maurice, 1996. "The Stock market impact of social pressure: The South African divestment case," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(4), pages 507-527.
    20. M. Fevzi Esen & Emrah Bilgic & Ulkem Basdas, 2019. "How to detect illegal corporate insider trading? A data mining approach for detecting suspicious insider transactions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 60-70, April.

    More about this item

    Keywords

    Research Methodology; Security market model; Prediction errors; Daily returns data;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:bla:joares:v:24:y:1986:i:1:p:76-96. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-8456 .

    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.