Credit Risk Modeling
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Credit Risk Modeling
This course is part of Credit Risk Modeling & Analysis Mastery Specialization
Instructor: EDUCBA
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There are 3 modules in this course
This comprehensive course equips learners with the knowledge and practical tools to analyze, evaluate, and apply key credit risk modeling techniques used in modern financial institutions. Through a blend of theoretical frameworks and real-world case studies, learners will explore foundational concepts such as Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL), progressing into structural models like Mertonβs approach and market-based credit assessment methods.
Participants will also construct and interpret Altman Z-scores to assess bankruptcy risk, and apply credit rating principles to real-world scenarios including airline industry case studies. The course further delves into corporate credit evaluation using internal financial metrics, unhedged foreign currency exposure (UFCE), and working capital analysis, concluding with internal rating systems and lender βways outβ strategies. Designed for aspiring risk analysts, finance professionals, and advanced students, this course combines instructional rigor with practical relevance, enabling learners to build, differentiate, and justify credit decisions with confidence.
This module introduces the essential principles of credit risk, exploring the fundamental models used to measure and manage credit exposure. It covers key parameters such as probability of default, loss given default, and the development of structural credit models through practical numerical insights.
What's included
7 videos3 assignments
7 videosβ’Total 42 minutes
- Introduction to Measures of Credit Risk Modellingβ’5 minutes
- Traditional Credit Modelsβ’5 minutes
- Traditional Credit Models Continuesβ’8 minutes
- Example of Traditional Credit Modelβ’6 minutes
- Structural Model of Credit Riskβ’4 minutes
- Example of Structural Model of Credit Riskβ’5 minutes
- Example of Structural Model of Credit Risk Continuesβ’8 minutes
3 assignmentsβ’Total 50 minutes
- Graded - Foundations of Credit Risk Modelingβ’30 minutes
- Introduction to Credit Risk and Traditional Modelsβ’10 minutes
- Structural Models and Practical Examplesβ’10 minutes
This module explores scoring systems like credit ratings and Altman Z-scores, emphasizing their application in evaluating bankruptcy risks. It also analyzes real-world case studies from the airline industry to interpret credit signals and assess financial health using evaluation metrics.
What's included
7 videos3 assignments
7 videosβ’Total 56 minutes
- Altman Z Score and Calculation of Z Scoreβ’8 minutes
- Airline Industry Z-scoreβ’11 minutes
- Case Study of US Airlines Industryβ’8 minutes
- Credit Rating Description of Airlinesβ’5 minutes
- Credit Modellingβ’7 minutes
- Evaluation Metric in Credit Modellingβ’8 minutes
- Early Warning Checklist in Credit Modellingβ’9 minutes
3 assignmentsβ’Total 50 minutes
- Graded - Scoring Techniques and Industry Applicationsβ’30 minutes
- Altman Z-Score and Airline Industry Caseβ’10 minutes
- Credit Modelling and Evaluation Metricsβ’10 minutes
This module dives into advanced credit assessment tools including working capital modeling, unhedged currency exposure, and internal rating systems. It emphasizes spreadsheet-based analysis and alternative repayment options (ways out) to reinforce institutional lending practices.
What's included
7 videos3 assignments
7 videosβ’Total 46 minutes
- UFCE in Credit Modellingβ’11 minutes
- Working Capital Credit Modellingβ’9 minutes
- Financial Statement Analysisβ’8 minutes
- Financial Statement Analysis Continuesβ’7 minutes
- Ways Out analysisβ’4 minutes
- More on Ways Out analysisβ’2 minutes
- Internal Ratings in Credit Modellingβ’5 minutes
3 assignmentsβ’Total 50 minutes
- Graded - Financial Analysis and Internal Rating Practicesβ’30 minutes
- UFCE and Working Capital Modellingβ’10 minutes
- Statement Analysis and Internal Ratingsβ’10 minutes
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Reviewed on Aug 28, 2025
I learned how to use Altman Z-scores for bankruptcy prediction, and itβs something I can apply
directly in my studies and work.
Reviewed on Sep 16, 2025
This course made me more confident in working with corporate credit evaluation and internal
rating systems.
Reviewed on Sep 21, 2025
This course provides a fantastic introduction to understanding and managing credit risk.
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