IDEAS home Printed from https://ideas.repec.org/a/hur/ijaraf/v4y2014i3p206-211.html
   My bibliography  Save this article

Evaluation of the Credit Risk with Statistical analysis

Author

Listed:
  • Asrin Karimi

Abstract

The purpose of this study is to identify important variables that influence on credit risk. Statistical analysis was used. In order to achieve the purpose of this research, a frame of references has been constructed based on a wide literature review. The calculations have been done by using SPSS 18 software. Number of samples was 90 and 5 dependent variables. The achieved results indicate the relation between credit risk and independent variables were considered. The major contribution of this paper is specifying the most important determinants for rating of customers in Iran’s banking sector.

Suggested Citation

  • Asrin Karimi, 2014. "Evaluation of the Credit Risk with Statistical analysis," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(3), pages 206-211, July.
    • Handle: RePEc:hur:ijaraf:v:4:y:2014:i:3:p:206-211
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/Article_23_Evaluation_of_the_Credit_Risk.pdf
    Download Restriction: no
    File URL: http://hrmars.com/hrmars_papers/Article_23_Evaluation_of_the_Credit_Risk.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beatty, Anne & Liao, Scott, 2011. "Do delays in expected loss recognition affect banks' willingness to lend?," Journal of Accounting and Economics, Elsevier, vol. 52(1), pages 1-20, June.
    2. Hussein A. Hassan Al-Tamimi & Faris Mohammed Al-Mazrooei, 2007. "Banks' risk management: a comparison study of UAE national and foreign banks," Journal of Risk Finance, Emerald Group Publishing, vol. 8(4), pages 394-409, August.
    3. Angelini, Eliana & di Tollo, Giacomo & Roli, Andrea, 2008. "A neural network approach for credit risk evaluation," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 733-755, November.
    4. Maximilian Hall & Dadang Muljawan & Lolita Moorena, 2009. "Using the artificial neural network to assess bank credit risk: a case study of Indonesia," Applied Financial Economics, Taylor & Francis Journals, vol. 19(22), pages 1825-1846.
    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. Asrin Karimi, 2014. "Credit Risk Modeling for Commercial Banks," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(3), pages 187-192, July.
    2. Suarez, Javier & Sánchez Serrano, Antonio, 2018. "Approaching non-performing loans from a macroprudential angle," Report of the Advisory Scientific Committee 7, European Systemic Risk Board.
    3. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    4. Joohyung Ha, 2021. "Bank accounting conservatism and bank loan quality," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(3-4), pages 498-532, March.
    5. Bert Loudis & Ben Ranish, 2019. "CECL and the Credit Cycle," Finance and Economics Discussion Series 2019-061, Board of Governors of the Federal Reserve System (U.S.).
    6. Byzalov, Dmitri & Basu, Sudipta, 2024. "The misuse of regression-based x-Scores as dependent variables," Journal of Accounting and Economics, Elsevier, vol. 77(2).
    7. Martin Goetz & Luc Laeven & Ross Levine, 2020. "Do Bank Insiders Impede Equity Issuances?," NBER Working Papers 27442, National Bureau of Economic Research, Inc.
    8. Schroth, Josef, 2021. "Macroprudential policy with capital buffers," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 296-311.
    9. Imène BERGUIGA & Philippe ADAIR, 2019. "The performance of Islamic banks in the MENA region: Are specific risks a minor attribute?," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 49, pages 5-23.
    10. Emrah Arbak, 2017. "Identifying the provisioning policies of Belgian banks," Working Paper Research 326, National Bank of Belgium.
    11. Beatty, Anne & Liao, Scott & Zhang, Haiwen (Helen), 2019. "The effect of banks’ financial reporting on syndicated-loan structures," Journal of Accounting and Economics, Elsevier, vol. 67(2), pages 496-520.
    12. Malgorzata Olszak & Mateusz Pipien & Sylwia Roszkowska, 2016. "The Impact Of Capital Ratio On Lending Of Eu Banks – The Role Of Bank Specialization And Capitalization," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 43-59, March.
    13. Bholat, David & Lastra, Rosa & Markose, Sheri & Miglionico, Andrea & Sen, Kallol, 2016. "Non-performing loans: regulatory and accounting treatments of assets," Bank of England working papers 594, Bank of England.
    14. Pfeifer, Lukáš & Hodula, Martin, 2018. "A profit-to-provisioning approach to setting the countercyclical capital buffer: the Czech example," ESRB Working Paper Series 82, European Systemic Risk Board.
    15. Degryse, Hans & Huylebroek, Cédric, 2023. "Fiscal support and banks’ loan loss provisions during the COVID-19 crisis," Journal of Financial Stability, Elsevier, vol. 67(C).
    16. Ricardo Schechtman & Tony Takeda, 2018. "Capital (and Earnings) Incentives for Loan Loss Provisions in Brazil: evidence from a crisis-buffering regulatory intervention," Working Papers Series 477, Central Bank of Brazil, Research Department.
    17. Laux, Christian, 2016. "The economic consequences of extending the use of fair value accounting in regulatory capital calculations: A discussion," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 204-208.
    18. Hegde, Shantaram P. & Kozlowski, Steven E., 2021. "Discretionary loan loss provisioning and bank stock returns: The Role of economic booms and busts," Journal of Banking & Finance, Elsevier, vol. 130(C).
    19. Marco Locurcio & Francesco Tajani & Pierluigi Morano & Debora Anelli & Benedetto Manganelli, 2021. "Credit Risk Management of Property Investments through Multi-Criteria Indicators," Risks, MDPI, vol. 9(6), pages 1-23, June.
    20. Granja, João & Leuz, Christian, 2024. "The death of a regulator: Strict supervision, bank lending, and business activity," Journal of Financial Economics, Elsevier, vol. 158(C).

    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:hur:ijaraf:v:4:y:2014:i:3:p:206-211. 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: Hassan Danial Aslam (email available below). General contact details of provider: http://hrmars.com/index.php/pages/detail/Accounting-Finance-Journal .

    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.