IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01696010.html
   My bibliography  Save this paper

The credit portfolio management by the econometric models: A theoretical analysis

Author

Listed:
  • Abdelkader Derbali

    (Institut Supérieur de Gestion Sousse, Université de Sousse)

Abstract

This main idea of this paper is to examine theoretically the current model of credit portfolio management. We employ the credit portfolio view to examine the default probability measurement. The development of this type of model is based on a theoretical basis developed by several researchers. The evolution of their default frequencies and the size of the loan portfolio are expressed as functions of macroeconomic and microeconomic conditions as well as unobservable credit risk factors, which explained by other factors. We developed three sections to explain the different characteristics of this model. The purpose of this model is to assess the default probability of credit portfolio.

Suggested Citation

  • Abdelkader Derbali, 2018. "The credit portfolio management by the econometric models: A theoretical analysis," Working Papers hal-01696010, HAL.
  • Handle: RePEc:hal:wpaper:hal-01696010
    Note: View the original document on HAL open archive server: https://hal.science/hal-01696010
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01696010/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. Bensoussan & M. Crouhy & D. Galai, 1995. "Stochastic equity volatility related to the leverage effect II: valuation of European equity options and warrants," Applied Mathematical Finance, Taylor & Francis Journals, vol. 2(1), pages 43-60.
    2. Ali, Asghar & Daly, Kevin, 2010. "Macroeconomic determinants of credit risk: Recent evidence from a cross country study," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 165-171, June.
    3. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
    Full references (including those not matched with items on IDEAS)

    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. Abdelkader Derbali, 2018. "The Current Models of Credit Portfolio Management: A Comparative Theoretical Analysis," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 14(5), pages 184-216, OCTOBER.
    2. Abdelkader Derbali, 2018. "The credit portfolio management by structural models: A theoretical analysis," Working Papers hal-01696009, HAL.
    3. Abdelkader Derbali, 2018. "How the default probability is defined by the CreditRisk+ model?," Working Papers hal-01696011, HAL.
    4. Yu-Fu Chen & Michael Funke & Kadri Männasoo, 2005. "Extracting Leading Indicators of Bank Fragility from Market Prices - Estonia Focus," Dundee Discussion Papers in Economics 185, Economic Studies, University of Dundee.
    5. Jean-Guy Simonato, 2015. "New Warrant Issues Valuation with Leverage and Equity Model Errors," Journal of Financial Services Research, Springer;Western Finance Association, vol. 47(2), pages 247-272, April.
    6. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    7. Kern, Markus & Rudolph, Bernd, 2001. "Comparative analysis of alternative credit risk models: An application on German middle market loan portfolios," CFS Working Paper Series 2001/03, Center for Financial Studies (CFS).
    8. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    9. Christian Gouriéroux & Alain Monfort, 2017. "Composite Indirect Inference with Application," Working Papers 2017-07, Center for Research in Economics and Statistics.
    10. Berry K. Wilson & John T. Donnellan, 2016. "The Technology of Ratings Then and Now; Hiding in Plain Sight," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 25(1), pages 49-74, January.
    11. Kexue Liu & Jean Salvati & Mr. Renzo G Avesani & Mr. Alin T Mirestean, 2006. "Review and Implementation of Credit Risk Models of the Financial Sector Assessment Program (FSAP)," IMF Working Papers 2006/134, International Monetary Fund.
    12. repec:onb:oenbwp:y:2002:i:3:b:3 is not listed on IDEAS
    13. Kanak Patel & Ricardo Pereira, 2007. "Expected Default Probabilities in Structural Models: Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 34(1), pages 107-133, January.
    14. Georges Dionne, 2003. "The Foundationsof Banks' Risk Regulation: A Review of Literature," THEMA Working Papers 2003-46, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    15. Ephraim Clark & Geeta Lakshmi, 2003. "Controlling the risk: a case study of the Indian liquidity crisis 1990-92," Journal of International Development, John Wiley & Sons, Ltd., vol. 15(3), pages 285-298.
    16. Meng-Jou Lu & Cathy Yi-Hsuan Chen & Wolfgang Karl Härdle, 2017. "Copula-based factor model for credit risk analysis," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 949-971, November.
    17. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Risk Assessment for Banking Systems," Management Science, INFORMS, vol. 52(9), pages 1301-1314, September.
    18. Byström, Hans, 2017. "The currency composition of firms' balance sheets, asset value correlations, and capital requirements," Global Finance Journal, Elsevier, vol. 34(C), pages 89-99.
    19. Linda Allen & Anthony Saunders, 2004. "Incorporating Systemic Influences Into Risk Measurements: A Survey of the Literature," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(2), pages 161-191, October.
    20. Correa, Arnildo & Marins, Jaqueline & Neves, Myrian & da Silva, Antonio Carlos, 2014. "Credit Default and Business Cycles: An Empirical Investigation of Brazilian Retail Loans," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(3), September.
    21. Ismail Tijjani Idris & Sabri Nayan, 2016. "The Moderating Role of Loan Monitoring on the Relationship between Macroeconomic Variables and Non-performing Loans in Association of Southeast Asian Nations Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 402-408.

    More about this item

    Keywords

    Risk management; Credit risk; Default probability; Credit Portfolio View;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hal:wpaper:hal-01696010. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.