Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/128473
Title: Corporate Debt Ratings An Analysis of Methodologies and Practices by Select Credit Rating Agencies in India
Researcher: Vandana Gupta
Guide(s): R.K. Mittal and V.K. Bhalla
Keywords: 
University: Guru Gobind Singh Indraprastha University
Completed Date: 04/20014
Abstract: It is difficult to over-emphasize the importance of credit risk. Its use is manifest in the explosive newlinegrowth of sophisticated credit instruments such as Credit Default Swaps (CDS). Its abuse can newlinewreak havoc as we saw in the sub-prime crisis and its aftermath. One of the most important newlineindicators of credit risk is the credit ratings, which are provided by the major rating agencies. newlineThe rating assigned to any debt instrument reflects the assessment by the Credit Rating Agency newlineof the creditworthiness of the issuer. Recent years have seen growing importance of both ratings newlineand the Credit Rating Agencies (CRAs) as the latter serve the entire gamut of regulators, issuers newlineand investors. Some academic work has been done in the Indian context, to investigate, examine newlineand suggest improvements in the process and methodology employed by CRAs. Academicians newlineand practitioners have also proposed several credit risk models to predict default on debt newlineobligations by borrowers. These credit risk models can be broadly classified as structural newline(market-based) models and statistical (reduced-form) models. newlineThis research study has two broad objectives: (1) to analyze the methodologies and practices newlineadopted by the Credit Rating Agencies (CRAs) in India for assigning ratings to corporate debt newlineinstruments; and (2) this study attempts to combine financial variables and the market-based newlinedefault drivers in a hybrid form to predict corporate default for public limited companies in newlineIndia. The proposed model is a blend of structural (market-based) and statistical (reduced-form) newlinemodels. The present research work has been carried out on the manufacturing industries by newlineclassifying companies into seven sectors, based on the Prowess CMIE classification. newline
Pagination: 
URI: http://hdl.handle.net/10603/128473
Appears in Departments:University School of Management Studies

Files in This Item:
File Description SizeFormat 
01_coverpage.pdfAttached File13.35 kBAdobe PDFView/Open
02_certificate.pdf38.38 kBAdobe PDFView/Open
03_acknowledgement.pdf39.34 kBAdobe PDFView/Open
04_abstract.pdf36.43 kBAdobe PDFView/Open
05_toc.pdf38.75 kBAdobe PDFView/Open
06_figures.pdf40.03 kBAdobe PDFView/Open
07_tables.pdf46.6 kBAdobe PDFView/Open
08_list of appendices.pdf24.01 kBAdobe PDFView/Open
09_abbreviation.pdf41.69 kBAdobe PDFView/Open
10_chapter_01.pdf126.22 kBAdobe PDFView/Open
11_chapter_02.pdf250.8 kBAdobe PDFView/Open
12_chapter_03.pdf311.33 kBAdobe PDFView/Open
13_chapter_04.pdf450.86 kBAdobe PDFView/Open
14_chapter_05.pdf1.57 MBAdobe PDFView/Open
15_chapter_06.pdf125.09 kBAdobe PDFView/Open
16_references.pdf64.47 kBAdobe PDFView/Open
17_appendices.pdf205.36 kBAdobe PDFView/Open
18_resume.pdf15.27 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.