TITLE

IMPROVING CORRECT CLASSIFICATION RATES IN BOND RATING STUDIES

AUTHOR(S)
Tallapally, Pavani; Luehlfing, Michael S.; Cochran, James J.; Johnson, Gene H.; Motha, Madhu
PUB. DATE
January 2012
SOURCE
International Journal of Business, Accounting, & Finance;Winter2012, Vol. 6 Issue 1, p12
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The article focuses on the association of four data source combinations and correct classification rates in bond rating studies. It states that the analysis has made use of ordered logit regression in generating predicted bond ratings. It suggests using affiliated data source combinations for the improvement of bond rating classification rates.
ACCESSION #
76125358

 

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