IAD Index of Academic Documents
  • Home Page
  • About
    • About Izmir Academy Association
    • About IAD Index
    • IAD Team
    • IAD Logos and Links
    • Policies
    • Contact
  • Submit A Journal
  • Submit A Conference
  • Submit Paper/Book
    • Submit a Preprint
    • Submit a Book
  • Contact
  • BDDK Bankacılık ve Finansal Piyasalar Dergisi
  • Volume:15 Issue:2
  • Structuring Key Credit Risk Parameters for Regulated Electric and Gas Utilities under Alternative Mo...

Structuring Key Credit Risk Parameters for Regulated Electric and Gas Utilities under Alternative Moody’s Rating Methodologies: A Case Study for a Natural Gas Distribution Utility

Authors : Vahit Ferhan BENLİ, Feyzullah YETGİN
Pages : 227-259
Doi:10.46520/bddkdergisi.987435
View : 39 | Download : 22
Publication Date : 2021-08-31
Article Type : Research Paper
Abstract :This paper elaborates the relevancy issue of a rating model in the context of credit rating analysis process of a natural gas distribution company. Against this background, we have analysed the Moody’s Analytics Risk Calc™ v3.1 Emerging Markets and the Regulated Electric and Gas Rating Methodology of Moody’s Investor Services dated from March the 16th, 2017. Methodologically, the article relies on case studies namely the Enron case and a case from regulated natural gas distribution company in Turkey. In terms of findings, Enron case highlights the importance of point-in-time rating models over agency based rating models in terms of default prediction. The EDF model provided a PD value of 0.65%, which corresponds to Baa3 level in Moody’s rating agency terms. On the other hand, the REGU Model indicates the Company with “Ba” rating, which is a “Speculative Grade”. This result indicates us a severe difference in default probabilities for the same entity. This is consequent and in line with the informational needs of different users and if different models are used respective to their needs. In summary, each rating model is developed by rating agencies for different purposes and we need to choose the appropriate rating model to make accurate analysis.
Keywords : Rating, Credit risk modeling

ORIGINAL ARTICLE URL

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.


Index of Academic Documents
İzmir Academy Association
CopyRight © 2023-2026