A hybrid KMV model, random forests and rough set theory approach for credit rating
Abstract
In current credit ratings models, various accounting-based information are usually selected as prediction variables, based on historical information rather than the market’s assessment for future. In the study, we propose credit rating prediction model using market-based information as a predictive variable. In the proposed method, Moody’s KMV (KMV) is employed as a tool to evaluate the market-based information of each corporation. To verify the...
Paper Details
Title
A hybrid KMV model, random forests and rough set theory approach for credit rating
Published Date
Sep 1, 2012
Journal
Volume
33
Pages
166 - 172
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