IDEAS home Printed from https://ideas.repec.org/a/fgv/eaerae/v60y2020i5a81787.html

Bad (good) news and delay (anticipation) of financial statements’ disclosure

Author

Listed:
  • Vivas, Anderson Brito
  • Ferreira, Felipe Ramos
  • da Costa, Fábio Moraes

Abstract

Managers have discretion over the timing of accounting information disclosure; existing literature has investigated the potential determinants regarding this choice. Thus, this study aimed to evaluate whether the type of accounting information is a factor that influences the anticipation of its disclosure to external users. The dataset comprises information provided by Brazilian companies listed on the Brasil Bolsa Balcão (B3) between 2010 and 2016. The research employed linear regression and the logistic regression model to evaluate whether type of news is a determinant for the timing of financial disclosures. Empirical evidence indicates that the nature of information (i.e., good or bad news) is related to the time taken (i.e., postponement or anticipation) in disclosing quarterly accounting figures of companies. Overall, our results contribute to the disclosure literature in Brazil and indicate that postponements are associated with the disclosure of negative news.

Suggested Citation

  • Vivas, Anderson Brito & Ferreira, Felipe Ramos & da Costa, Fábio Moraes, 2020. "Bad (good) news and delay (anticipation) of financial statements’ disclosure," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 60(5), June.
  • Handle: RePEc:fgv:eaerae:v:60:y:2020:i:5:a:81787
    as

    Download full text from publisher

    File URL: https://periodicos.fgv.br/rae/article/view/81787
    Download Restriction: no
    ---><---

    More about this item

    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:fgv:eaerae:v:60:y:2020:i:5:a:81787. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eagvfbr.html .

    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.