logistic regression -credit rating

Upload: ayushi-gupta

Post on 05-Apr-2018

217 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/31/2019 logistic regression -credit rating

    1/24

    BUILDING A MODEL THAT MIMICS

    THE CREDIT RATING BY CRISIL

  • 7/31/2019 logistic regression -credit rating

    2/24

    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.

  • 7/31/2019 logistic regression -credit rating

    3/24

    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.

  • 7/31/2019 logistic regression -credit rating

    4/24

    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.

  • 7/31/2019 logistic regression -credit rating

    5/24

    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

  • 7/31/2019 logistic regression -credit rating

    6/24

    CORRELATION MATRIX

  • 7/31/2019 logistic regression -credit rating

    7/24

    LINEAR PROBABILITY MODEL

  • 7/31/2019 logistic regression -credit rating

    8/24

    Logistic Function

  • 7/31/2019 logistic regression -credit rating

    9/24

    Logistic Regression

  • 7/31/2019 logistic regression -credit rating

    10/24

    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

  • 7/31/2019 logistic regression -credit rating

    11/24

    Ref=1

  • 7/31/2019 logistic regression -credit rating

    12/24

    Data Summary

  • 7/31/2019 logistic regression -credit rating

    13/24

    Odds Ratio

  • 7/31/2019 logistic regression -credit rating

    14/24

    Ref=2

  • 7/31/2019 logistic regression -credit rating

    15/24

    Odds Ratio

  • 7/31/2019 logistic regression -credit rating

    16/24

    Ref=3

  • 7/31/2019 logistic regression -credit rating

    17/24

    Odds Ratio

  • 7/31/2019 logistic regression -credit rating

    18/24

    Ref=4

  • 7/31/2019 logistic regression -credit rating

    19/24

    Odds Ratio

  • 7/31/2019 logistic regression -credit rating

    20/24

    Binary Logit

    Ratingi = 1 + 2de+ 3icr + 4roce + 5eq2l+

    6td2ta+ 7pbidtm+ui

    Ref=0

  • 7/31/2019 logistic regression -credit rating

    21/24

    BINARY LOGIT

  • 7/31/2019 logistic regression -credit rating

    22/24

    Data summary

  • 7/31/2019 logistic regression -credit rating

    23/24

    EVALUATION

  • 7/31/2019 logistic regression -credit rating

    24/24

    Thank You.