logistic regression -credit rating
TRANSCRIPT
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BUILDING A MODEL THAT MIMICS
THE CREDIT RATING BY CRISIL
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Introduction.
Rating of the companies from the Crisil Site.
Took the latest financial ratios of thecompanies from Capitaline Plus.
The data set consist of 260 companies.
Referred paper by Shabari nayak, Altman.
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Crisil Rating Methodology
CRISIL AAA
(Highest Safety)
Instruments with this rating are considered to have the highest degree of safety regarding timely servicing
of financial obligations. Such instruments carry lowest credit risk.
CRISIL AA
(High Safety)
Instruments with this rating are considered to have high degree of safety regarding timely servicing of
financial obligations. Such instruments carry very low credit risk.
CRISIL A
(Adequate Safety)
Instruments with this rating are considered to have adequate degree of safety regarding timely servicing
of financial obligations. Such instruments carry low credit risk.
CRISIL BBB
(Moderate Safety)
Instruments with this rating are considered to have moderate degree of safety regarding timely servicing
of financial obligations. Such instruments carry moderate credit risk.
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Crisil rating methodology
CRISIL BB(Moderate Risk)
Instruments with this rating are considered to have moderate risk of defaultregarding timely servicing of financial obligations.
CRISIL B
(High Risk) Instruments with this rating are considered to have high risk of default regarding
timely servicing of financial obligations.
CRISIL C(Very High Risk)
Instruments with this rating are considered to have very high risk of defaultregarding timely servicing of financial obligations.
CRISIL DDefault
Instruments with this rating are in default or are expected to be in default soon.
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PARAMETERS
P/E
P/B
D/E
Current ratio
Interest coverage ratio
PBIDTM Return on capital
Return on networth
Sales to asset
Return on equity
Return on asset
CFO to Debt
Equity to liability
Total debt to Total asset
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CORRELATION MATRIX
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LINEAR PROBABILITY MODEL
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Logistic Function
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Logistic Regression
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Multinomial logit equation
Rating2i = 1 + 2 de+ 3cr + 4roce +
5ronw + ui
Rating3i = 1 + 2 de+ 3cr + 4roce + 5ronw
+ vi
Rating4i = 1 + 2 de+ 3cr + 4roce + 5ronw
+ zi
Ref=1
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Ref=1
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Data Summary
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Odds Ratio
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Ref=2
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Odds Ratio
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Ref=3
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Odds Ratio
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Ref=4
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Odds Ratio
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Binary Logit
Ratingi = 1 + 2de+ 3icr + 4roce + 5eq2l+
6td2ta+ 7pbidtm+ui
Ref=0
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BINARY LOGIT
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Data summary
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EVALUATION
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Thank You.