Abstract

Credit rating is a traditional measurement of credit risk in financial markets. This paper introduces an innovative approach based on implied ratings defined by CDS spreads. Using this approach the credit risk can be better managed because CDS are provided on daily basis. The implied rating is compared with credit ratings provided by Moody´s, S&P, and Fitch. The model of implied rating deals only with sovereign ratings. 52 countries were chosen for comparison of both types of above-mentioned ratings. The model uses cumulative default probabilities (CPD) derived from CDS spreads and the main results are CPD intervals which define implied credit ratings. For those countries where the credit rating and implied credit rating are different, the paper shows how implied rating can serve as a signal for potential upgrade or downgrade of the credit rating provided by rating agencies. The presented model is also used to verify ratings provided by Moody´s, S&P, and Fitch in cases where these agencies provide different ratings for a specific country. This is especially important when some ratings are investment-grade and others are speculative-grade.  

Keywords: credit rating, credit risk management, rating agency, credit default swap (CDS), cumulative probability of default (CPD)

JEL Classification: E44, G10, G24, G32.

Cite as: Budinsky, P., & Bezvoda, M. (2018). Innovative approach to the management of credit risk. Marketing and Management of Innovations, 1, 327-337. https://doi.org/10.21272/mmi.2018.1-25

This work is licensed under a Creative Commons Attribution 4.0 International License

References

1. Berg, T., & Streitz, D. (2016). Determinants of the size of the sovereign credit default swap market. The Journal Of Fixed Income, 25 (3), 58-73.
2. Budinský, P., Heissler, H., & Wawrosz, P. (2013). Relationship between bond spreads and CDS spreads. Scientia Et Societas, 9(4), 52-64.
3. Budinský, P. (2014). Relationship between sovereign ratings and CDS prices. In Controlling and Knowledge. Wroclaw: Publishing House of Wroclaw University of Economics.
4. Budinský, P., & Bezvoda, M. (2016). CDS and bond sreads as two measures of credit risk. Actual Problems In Economics, (186), 280-290.
5. Callen, J. L., Livnat, J., & Segal, D. (2009). The impact ofeEarnings on the pricing of credit default swaps. The Accounting Review, 84(5), 1363-1394.
6. Castellano, R., & D´Ecclesia, R. L. (2013). CDS volatility: the key signal of credit quality. Annals Of Operations Research, 205(1), 89-107.
7. Cizel, J. (2013). Are credit rating announcements contagious? Evidence on the transmission of information across industries in credit default swap markets. The Journal Of Fixed Income, 23(2), 27-60.
8. de Haan, J., & Amtenbrink, F. (2011). Credit rating agencies. DNB Working Paper, 278. DOI: http://dx.doi.org/10.2139/ssrn.1950563.
9. Drago, D., & Gallo, R. (2016). The impact and the spillover effect of a sovereign rating announcement on the euro area CDS market. Journal Of International Money And Finance, 67(October), 264-286.
10. Georgievska, A. (2008). Sovereign rescheduling probabilities in emerging markets: a comparison with credit rating agencies’ ratings. Journal Of Applied Statistics, 35(9), 1031-1051.
11. Iyengar, S. (2010). Are sovereign credit ratings objective and transparent?. Iup Journal Of Financial Economics, 8(3), 7-22.
12. Iyengar, S. (2012). The credit rating agencies—Are they reliable? A study of sovereign ratings. Vikalpa, 37(1), 69-82.
13. Kiesel, F. (2015). Regulation of uncovered sovereign credit default swaps – evidence from the European Union. The Journal Of Risk Finance, 16(4), 425-443.
14. Site of Moody´s. moodys.com. Retrived from https://www.moodys.com.
15. Site of Standard and Poor´s (S&P). standardandpoors.com. Retrived from https://www.standardandpoors.com/ .
16. Site of Fitch. fitchratings.com. Retrived from https://www.fitchratings.com/site/home.
17. Site of Deutsche Bank Research. research.db.com. Retrived from https://research.db.com/Research/Register.