IDEAS home Printed from https://ideas.repec.org/p/ibm/finlab/flwp_3.html
   My bibliography  Save this paper

Identificação de indicadores contábeis significativos para previsão de concordata de empresas

Author

Listed:
  • Sanvicente, A. Z
  • Minardi, A. M. A. F

Abstract

No abstract is available for this item.

Suggested Citation

  • Sanvicente, A. Z & Minardi, A. M. A. F, 1998. "Identificação de indicadores contábeis significativos para previsão de concordata de empresas," Finance Lab Working Papers flwp_3, Finance Lab, Insper Instituto de Ensino e Pesquisa.
    • Handle: RePEc:ibm:finlab:flwp_3
    as

    Download full text from publisher

    File URL: http://www.ibmecsp.edu.br/pesquisa/download.php?recid=690
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marques, José Augusto Veiga da Costa & Braga, Roberto, 1995. "Análise dinâmica do capital de giro: o modelo Fleuriet," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 35(3), May.
    2. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    3. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    4. Mossman, Charles E, et al, 1998. "An Empirical Comparison of Bankruptcy Models," The Financial Review, Eastern Finance Association, vol. 33(2), pages 35-53, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Fernando N. de Oliveira & Alberto Ronchi Neto, 2011. "An Empirical Analysis of the External Finance Premium of Public Non-Financial Corporations in Brazil," Working Papers Series 255, Central Bank of Brazil, Research Department.
    2. Oliveira, Fernando N. de & Neto, Alberto Ronchi, 2012. "An empirical analysis of the external finance premium of public non-financial corporations in Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.

    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. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
    2. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    3. Sung Wook Joh, 2004. "The Korean Economic Crisis and Corporate Governance System," NBER Chapters, in: Governance, Regulation, and Privatization in the Asia-Pacific Region, National Bureau of Economic Research, Inc.
    4. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    5. Fayçal Mraihi, 2016. "Distressed Company Prediction Using Logistic Regression: Tunisian’s Case," Quarterly Journal of Business Studies, Research Academy of Social Sciences, vol. 2(1), pages 34-54.
    6. Wikil Kwak & Yong Shi & Gang Kou, 2012. "Bankruptcy prediction for Korean firms after the 1997 financial crisis: using a multiple criteria linear programming data mining approach," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 441-453, May.
    7. Abdelghani Maddi, 2018. "Analyse scientométrique de la crise économique," CEPN Working Papers 2018-08, Centre d'Economie de l'Université de Paris Nord.
    8. Laitinen, Erkki K., 2007. "Classification accuracy and correlation: LDA in failure prediction," European Journal of Operational Research, Elsevier, vol. 183(1), pages 210-225, November.
    9. Catherine Refait, 2000. "Estimation du risque de défaut par une modélisation stochastique du bilan : Application à des firmes industrielles françaises," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03718527, HAL.
    10. du Jardin, Philippe, 2010. "Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy," MPRA Paper 44375, University Library of Munich, Germany.
    11. Philosophov, Leonid V. & Philosophov, Vladimir L., 2002. "Corporate bankruptcy prognosis: An attempt at a combined prediction of the bankruptcy event and time interval of its occurrence," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 375-406.
    12. du Jardin, Philippe, 2012. "The influence of variable selection methods on the accuracy of bankruptcy prediction models," MPRA Paper 44383, University Library of Munich, Germany.
    13. Laitinen, Erkki K. & Laitinen, Teija, 2000. "Bankruptcy prediction: Application of the Taylor's expansion in logistic regression," International Review of Financial Analysis, Elsevier, vol. 9(4), pages 327-349.
    14. Sami Ben Jabeur & Youssef Fahmi, 2014. "Les modèles de prévision de la défaillance des entreprises françaises : une approche comparative," Working Papers 2014-317, Department of Research, Ipag Business School.
    15. Amin Jan & Maran Marimuthu, 2016. "Bankruptcy Profile of Foreign versus Domestic Islamic Banks of Malaysia: A Post Crisis Period Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 332-346.
    16. du Jardin, Philippe, 2009. "Bankruptcy prediction models: How to choose the most relevant variables?," MPRA Paper 44380, University Library of Munich, Germany.
    17. Onofrei, Mihaela & Lupu, Dan, 2014. "The modelling of forecasting the bankruptcy in Romania," MPRA Paper 95511, University Library of Munich, Germany.
    18. Ahmad Ali Jan & Muhammad Tahir & Fong-Woon Lai & Amin Jan & Mehreen Mehreen & Salaheldin Hamad, 2019. "Bankruptcy Profile of the Islamic Banking Industry: Evidence from Pakistan," Business Management and Strategy, Macrothink Institute, vol. 10(2), pages 265-284, December.
    19. Stefán B. Gunnlaugsson, 2017. "Credit Risk Of Icelandic Municipalities," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 7-15, September.
    20. Dariusz Wędzki, 2005. "Multivariate analysis of bankruptcy on the example of building industry," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 15(2), pages 59-81.

    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:ibm:finlab:flwp_3. 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: Naercio Menezes (email available below). General contact details of provider: https://edirc.repec.org/data/ibmecbr.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.