IDEAS home Printed from https://ideas.repec.org/a/ovi/oviste/vxviiy2017i2p499-504.html
   My bibliography  Save this article

Factor Analysis of Credit Risk in Romania

Author

Listed:
  • Apostu Simona-Andreea

    (Bucharest University of Economic Studies)

Abstract

All lending institution is confronted with credit risk and therefore assumes it. So it is necessary to analyze the dynamics of credit risk, the effects on profitability, capital adequacy and, very important, but also difficult to quantify, the general trust in the institution (Berríos M.R., 2013). In order to assess the correlations between credit risk and other financial variables, a database was created in SPSS program packages and the factor analysis was performed. The analysed variables are: Credit Risk Rate, Economic Profitability, Non-performing Loans, Rate of Return, Leverage Effect, Solvency Ratio and Return on Equity (Pinches, 1973). It was established that for Romania for the analysed period are strong correlations between all variables analyzed.

Suggested Citation

  • Apostu Simona-Andreea, 2017. "Factor Analysis of Credit Risk in Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 499-504, December.
  • Handle: RePEc:ovi:oviste:v:xvii:y:2017:i:2:p:499-504
    as

    Download full text from publisher

    File URL: http://stec.univ-ovidius.ro/html/anale/RO/2017-2/Section%20V/2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ghada Ali TIMRAZ & Faris Nasif AL-SHUBIRI, 2012. "The Impact Of Stock Options Trading On The Market Value Of Companies Listed In Kuwait Stock Exchange," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 2(3), pages 63-76, September.
    2. Pinches, George E & Mingo, Kent A, 1973. "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, American Finance Association, vol. 28(1), pages 1-18, March.
    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. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    2. John Y. Campbell & Glen B. Taksler, 2003. "Equity Volatility and Corporate Bond Yields," Journal of Finance, American Finance Association, vol. 58(6), pages 2321-2350, December.
    3. Barth, Mary E. & Beaver, William H. & Landsman, Wayne R., 1998. "Relative valuation roles of equity book value and net income as a function of financial health," Journal of Accounting and Economics, Elsevier, vol. 25(1), pages 1-34, February.
    4. repec:uts:finphd:36 is not listed on IDEAS
    5. Kaviani, Mahsa S. & Kryzanowski, Lawrence & Maleki, Hosein & Savor, Pavel, 2020. "Policy uncertainty and corporate credit spreads," Journal of Financial Economics, Elsevier, vol. 138(3), pages 838-865.
    6. Ballis, Antonis & Ioannidis, Christos & Sifodaskalakis, Emmanouil, 2024. "Structural shifts in bank credit ratings," Journal of Financial Stability, Elsevier, vol. 73(C).
    7. Caporale, Guglielmo Maria & Matousek, Roman & Stewart, Chris, 2012. "Ratings assignments: Lessons from international banks," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1593-1606.
    8. Aaron Crabtree & John Maher, 2005. "Earnings Predictability, Bond Ratings, and Bond Yields," Review of Quantitative Finance and Accounting, Springer, vol. 25(3), pages 233-253, November.
    9. Arundina, Tika & Azmi Omar, Mohd. & Kartiwi, Mira, 2015. "The predictive accuracy of Sukuk ratings; Multinomial Logistic and Neural Network inferences," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 273-292.
    10. Stephen P. Huffman & David J. Ward, 1996. "The prediction of default for high yield bond issues," Review of Financial Economics, John Wiley & Sons, vol. 5(1), pages 75-89, December.
    11. Mashhour Hathloul Maharmah & Esraa Ali Khalil, 2015. "Models Ability to Predict Bankruptcy Before it Happens," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(7), pages 479-491.
    12. Mizen, Paul & Tsoukas, Serafeim, 2012. "Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model," International Journal of Forecasting, Elsevier, vol. 28(1), pages 273-287.
    13. Chamroeun Sok, 2012. "Corporate Credit Rating Announcements: Information Content of Rating Announcements Models: Evidence from the Australian Financial Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2012, January-A.
    14. Scholtens, Bert & Veldhuis, Rineke, 2015. "How does the development of the financial industry advance renewable energy? A panel regression study of 198 countries over three decades," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113114, Verein für Socialpolitik / German Economic Association.
    15. Sermpinis, Georgios & Tsoukas, Serafeim & Zhang, Ping, 2018. "Modelling market implied ratings using LASSO variable selection techniques," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 19-35.
    16. William C. Handorf & J. Minor Sachlis, 1990. "A Note on the Accounting Model for Problem Real Estate Loans," Journal of Real Estate Research, American Real Estate Society, vol. 5(3), pages 381-392.
    17. Hirk, Rainer & Vana, Laura & Hornik, Kurt, 2022. "A corporate credit rating model with autoregressive errors," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 224-240.
    18. Barth, Mary E. & Beaver, William H. & Landsman, Wayne R., 2001. "The relevance of the value relevance literature for financial accounting standard setting: another view," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 77-104, September.
    19. Yujin Kim & Su-In Kim, 2022. "Environmental Risk and Credit Ratings, and the Moderating Effect of Market Competition," IJERPH, MDPI, vol. 19(9), pages 1-17, April.
    20. Mar Molinero, C. & Apellaniz Gomez, P. & Serrano Cinca, C., 1996. "A multivariate study of spanish bond ratings," Omega, Elsevier, vol. 24(4), pages 451-462, August.
    21. Jiang, John (Xuefeng) & Harris Stanford, Mary & Xie, Yuan, 2012. "Does it matter who pays for bond ratings? Historical evidence," Journal of Financial Economics, Elsevier, vol. 105(3), pages 607-621.

    More about this item

    Keywords

    credit risk; solvency; equity; leverage; principal component analysis;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

    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:ovi:oviste:v:xvii:y:2017:i:2:p:499-504. 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: Gheorghiu Gabriela (email available below). General contact details of provider: https://edirc.repec.org/data/feoviro.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.