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A Model Of Rating Of Eastern European Banks

Author

Listed:
  • GABAN Lucian

    (1 Decembrie University, Alba-Iulia)

  • RUS IonuÈ› - Marius

    (Babes-Bolyai University, Cluj-Napoca)

  • FETITA Alin

    (Babes-Bolyai University, Cluj-Napoca)

Abstract

In this paper the authors apply a unique credit rating system on a sample of banks in Romania, Hungary, The Czech Republic and Poland, based on the CAMEL, PERLAS and Stickney models. The aggregate model correlates the results of these rating systems in an unique rating system according to ratings agencies Standard & Poor's, Moody's and Fitch scores. All these models are based on the financial ratios of performance, activity, capital adequacy, liquidity, equity and management. The results indicate that such evaluation is closed to the agencies' ratings as the final model aggregates the partial score of each model included.

Suggested Citation

  • GABAN Lucian & RUS IonuÈ› - Marius & FETITA Alin, 2017. "A Model Of Rating Of Eastern European Banks," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(3), pages 42-56, August.
  • Handle: RePEc:blg:reveco:v:69:y:2017:i:3:p:42-56
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    References listed on IDEAS

    as
    1. Winnie P. H. Poon & Michael Firth, 2005. "Are Unsolicited Credit Ratings Lower? International Evidence From Bank Ratings," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9-10), pages 1741-1771.
    2. Salvador, Carlos & Pastor, Jose Manuel & Fernández de Guevara, Juan, 2014. "Impact of the subprime crisis on bank ratings: The effect of the hardening of rating policies and worsening of solvency," Journal of Financial Stability, Elsevier, vol. 11(C), pages 13-31.
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    5. Kogler, Christoph & Batrancea, Larissa & Nichita, Anca & Pantya, Jozsef & Belianin, Alexis & Kirchler, Erich, 2013. "Trust and power as determinants of tax compliance: Testing the assumptions of the slippery slope framework in Austria, Hungary, Romania and Russia," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 169-180.
    6. Winnie P. H. Poon & Michael Firth, 2005. "Are Unsolicited Credit Ratings Lower? International Evidence From Bank Ratings," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9‐10), pages 1741-1771, November.
    7. Alsakka, Rasha & ap Gwilym, Owain & Vu, Tuyet Nhung, 2014. "The sovereign-bank rating channel and rating agencies' downgrades during the European debt crisis," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 235-257.
    8. Louis, Philippe & Van Laere, Elisabeth & Baesens, Bart, 2013. "Understanding and predicting bank rating transitions using optimal survival analysis models," Economics Letters, Elsevier, vol. 119(3), pages 280-283.
    9. Periklis Gogas & Theophilos Papadimitriou & Anna Agrapetidou, 2014. "Forecasting bank credit ratings," Journal of Risk Finance, Emerald Group Publishing, vol. 15(2), pages 195-209, March.
    10. Donald P. Morgan, 2002. "Rating Banks: Risk and Uncertainty in an Opaque Industry," American Economic Review, American Economic Association, vol. 92(4), pages 874-888, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    credit rating agencies; capital adequacy; bank rating;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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