IDEAS home Printed from https://ideas.repec.org/a/ptu/bdpart/r201206.html
   My bibliography  Save this article

A Scoring Model For Portuguese Non-Financial Enterprises

Author

Listed:
  • António R. Antunes
  • Ricardo Martinho

Abstract

No abstract is available for this item.

Suggested Citation

  • António R. Antunes & Ricardo Martinho, 2012. "A Scoring Model For Portuguese Non-Financial Enterprises," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
  • Handle: RePEc:ptu:bdpart:r201206
    as

    Download full text from publisher

    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/ar201206_e.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bonfim, Diana, 2009. "Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
    2. Mireille Bardos, 2007. "What is at stake in the construction and use of credit scores?," Computational Economics, Springer;Society for Computational Economics, vol. 29(2), pages 159-172, March.
    3. António R. Antunes & Pedro Portugal & José Mata, 2010. "Borrowing Patterns, Bankruptcy and Voluntary Liquidation," Working Papers w201027, Banco de Portugal, Economics and Research Department.
    4. Bardos, Mireille, 1998. "Detecting the risk of company failure at the Banque de France," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1405-1419, October.
    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. Francisco Augusto, 2021. "Portuguese firms’ financial vulnerability and excess debt in the context of the COVID-19 shock," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

    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. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    2. Yang Liu & BRUCE MORLEY, 2013. "Sovereign Credit Ratings, The Macroeconomy And Credit Default Swap Spreads," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 56(3-4), pages 335-348.
    3. Grigori Fainstein & Igor Novikov, 2011. "The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 20-45, June.
    4. repec:cfe:wpcefa:2014_07 is not listed on IDEAS
    5. Hyytinen, Ari, 2003. "Information production and lending market competition," Journal of Economics and Business, Elsevier, vol. 55(3), pages 233-253.
    6. Maria H. Kim & Graham Partington, 2015. "Dynamic forecasts of financial distress of Australian firms," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 135-160, February.
    7. Muhammad Waqas & Nudrat Fatima & Aryan Khan & Muhammad Arif, 2017. "Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(1), pages 51-68, January.
    8. Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018. "Forecasting banking crises with dynamic panel probit models," International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
    9. Marco Lo Duca & Diego Moccero & Fabio Parlapiano, 2024. "The impact of macroeconomic and monetary policy shocks on the default risk of the euro-area corporate sector," Temi di discussione (Economic working papers) 1460, Bank of Italy, Economic Research and International Relations Area.
    10. Mitroussi, K. & Abouarghoub, W. & Haider, J.J. & Pettit, S.J. & Tigka, N., 2016. "Performance drivers of shipping loans: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 438-452.
    11. Ángela González Arbeláez, 2010. "Determinantes del riesgo del crédito comercial en Colombia," Vniversitas Económica, Universidad Javeriana - Bogotá, vol. 0(0), pages 1-69, February.
    12. Filipe, Sara Ferreira & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Forecasting distress in European SME portfolios," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 112-135.
    13. Nijskens, Rob & Mokas, Dimitris, 2019. "Credit Risk in Commercial Real Estate Bank Loans : The Role of Idiosyncratic versus Macro-Economic Factors," Other publications TiSEM ea4f2f0e-dc50-4987-91d3-6, Tilburg University, School of Economics and Management.
    14. Jaqueline Terra Moura Marins & Myrian Beatriz Eiras das Neves, 2013. "Inadimplência de Crédito e Ciclo Econômico: um exame da relação no mercado brasileiro de crédito corporativo," Working Papers Series 304, Central Bank of Brazil, Research Department.
    15. Abuzayed, Bana & Ben Ammar, Mouldi & Molyneux, Philip & Al-Fayoumi, Nedal, 2024. "Corruption, lending and bank performance," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 802-830.
    16. Jane Haider & Zhirong Ou & Stephen Pettit, 2019. "Predicting corporate failure for listed shipping companies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(3), pages 415-438, September.
    17. Catherine Refait, 2004. "La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux," Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
    18. Martina Pilloni & József Kádár & Tareq Abu Hamed, 2022. "The Impact of COVID-19 on Energy Start-Up Companies: The Use of Global Financial Crisis (GFC) as a Lesson for Future Recovery," Energies, MDPI, vol. 15(10), pages 1-15, May.
    19. Meng, Qingbin & Huang, Haozheng & Li, Xinyu & Wang, Song, 2023. "Short-selling and corporate default risk: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 398-417.
    20. Sami Ben Jabeur & Youssef Fahmi, 2018. "Forecasting financial distress for French firms: a comparative study," Empirical Economics, Springer, vol. 54(3), pages 1173-1186, May.
    21. Bruche, Max & González-Aguado, Carlos, 2010. "Recovery rates, default probabilities, and the credit cycle," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 754-764, April.

    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:ptu:bdpart:r201206. 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: DEE-NTD (email available below). General contact details of provider: https://edirc.repec.org/data/bdpgvpt.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.