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IIM Kashipur - IIM Kashipur Executive Development Programme in Applied Credit Risk Analytics 

  • Offered byNulearn

IIM Kashipur Executive Development Programme in Applied Credit Risk Analytics
 at 
Nulearn 
Overview

Provides training on the usage of tools used in the quantification of credit risk and problems related to credit risk management

Duration

4 months

Total fee

60,000

Mode of learning

Online

Credential

Certificate

IIM Kashipur Executive Development Programme in Applied Credit Risk Analytics
 at 
Nulearn 
Highlights

  • Earn a certificate of completion from IIM Kashipur
  • Gain an access to recorded sessions
  • Final Assessment at Campus
Details Icon

IIM Kashipur Executive Development Programme in Applied Credit Risk Analytics
 at 
Nulearn 
Course details

Who should do this course?
  • For Professionals who are looking to upgrade their career in Finance
  • For Entrepreneurs/Finance Heads & Leaders, Coordinators and Team Members
  • For Working professionals in an organization with an acumen and interest in Applied Credit Risk Analytics
What are the course deliverables?
  • Understand the basic statistics required in credit risk analysis
  • Understand the credit scoring approaches used in practice for different firms
  • Understand the implementation of Credit Metrics approach to estimate the VaR of the non- tradable loan portfolio
  • Understand the models to estimate probability of default for credit profile evaluation of a firm
  • Understand the models to estimate loss given default (LGD), exposure at default (EAD) and expected credit loss
More about this course
  • Learn about the newest trends and tools from India’s top-notch faculty and Industry Mentors
  • The course will extensively make use of MS Excel mainly and for some models R will be used

IIM Kashipur Executive Development Programme in Applied Credit Risk Analytics
 at 
Nulearn 
Curriculum

Basics of Credit Risk

Exploratory Analysis

Empirical Distribution

Location Measures

Dispersion Measures

Third and Fourth Moments

Joint Empirical Distribution, Correlation

Sampling

Hypothesis Testing

Descriptive Statistics

Credit Scoring Models

Logit Model for Loan Default Analysis (both individual and corporate loan)

Decision Tree for Loan Default Analysis

Altman Z Score (For Manufacturing Firm)

Credit Scoring Models for Private Firm

Non-Manufacturing Firm and Indian Firms

Behavioral Scoring

Credit Metrics

Credit VaR for Non-Tradable loans

Credit Ratings and Rating Transition Matrices

Probability of Default Models (Discrete Time Hazard Models)

Linear model

Probit

Logit

Complementary log-log model

PIT (Point-in-Time) and TTC (Through-the cycle) estimates

Probability of Default Models (Discrete Time Hazard Models)

Linear model

Probit

Logit

Complementary log-log model

PIT (Point-in-Time) and TTC (Through-the cycle) estimates

Probability of Default: Structural (Merton) Model of Default, Moody's KMV

Reduced Form Model for Probability of Default

LGD Estimation: Key concepts in default handling: clients, default,

Collateral and exposure; Non performing loans management

LGD model methodologies; Application: uses of LGD

Exposure at Default: Regulatory perspective on EAD, EAD

Modelling: Credit Line Models.

Expected and unexpected credit loss

Default correlation and Credit Portfolio risk

Bayesian Approach to Credit Risk modelling, Survival Analysis, Correlation estimation with Bayesian Statistics

Credit Derivatives: Credit Default Swap, Securitization

Low Default Portfolio

IFRS 9, Brief BASEL I, II and III from the perspective of Credit Risk, Regulatory and Economic capital (basic idea)

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IIM Kashipur Executive Development Programme in Applied Credit Risk Analytics
 at 
Nulearn 

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