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A credit rating evaluates a potential borrower's ability to repay debt. The credit rating demo describes one approach to assigning credit ratings to companies. The demo uses the same financial ratios as Altman's z-score (see Altman [39] in Bibliography) as predictors of credit quality, and then it trains a classifier using one of the statistical learning tools available in Statistics Toolbox software. The classifier used in the demo outputs a classification score to help reviewers identify companies that fall into "gray areas" between ratings that require a closer look. The demo also discusses back-testing tools to evaluate the ratings accuracy.
To run the Credit Rating by Bagging Decision Trees demo at the MATLAB command line, enter:
showdemo creditratingdemo
![]() | Credit Risk Analysis | Estimation of Transition Probabilities | ![]() |
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