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Credit Analysis in Action: Economic and Industry Essentials

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Starweaver

Credit Analysis in Action: Economic and Industry Essentials

 Michael McDonald
Starweaver

Instructors: Michael McDonald

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze macroeconomic and industry factors affecting credit risk across market cycles.

  • Evaluate specialized credit markets including high-yield and distressed debt.

  • Integrate ESG factors into comprehensive credit risk assessments.

  • Execute complete credit analysis projects using professional methodologies.

Details to know

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Recently updated!

September 2025

Assessments

5 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the Credit Analyst Academy Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 6 modules in this course

In this course, you’ll learn how to assess credit risk and manage fixed-income investments using advanced tools like bond pricing models, credit derivatives, and regulatory frameworks. You’ll focus on real-world applications such as yield curve analysis, CDS evaluation, collateral and covenant review, stress testing, and Basel III compliance to build strategic, risk-aware portfolios. Through expert instruction, hands-on exercises, and case studies, you’ll gain the skills to implement effective credit strategies—including ESG integration—navigate regulations, and confidently manage institutional credit exposure in dynamic markets.

What's included

1 reading

In this module, you’ll examine the influence of macroeconomic factors on credit risk, focusing on how variables like inflation, interest rates, and economic cycles shape credit markets. You’ll explore sector-specific vulnerabilities, global risks, and the interplay between economic conditions and default probabilities. Through case studies and hands-on analysis using real data sources, you’ll learn to evaluate how shifting macroeconomic conditions impact credit quality and risk assessment strategies.

What's included

6 videos1 reading1 assignment1 peer review

In this module, you’ll navigate high-yield and distressed debt markets, from pricing speculative-grade bonds to analyzing restructuring paths. You’ll compare HY vs. IG risk/return, size recovery-driven trades, and use Excel to model IRR/MOIC under varied default, timing, and recovery scenarios. A case study and a hands-on build, you’ll translate capital-structure, covenant, and liquidity insights into actionable investment theses with clear risk controls.

What's included

6 videos1 reading1 assignment1 peer review1 discussion prompt

In this module, you’ll assess collateral and loan structures within credit agreements. You’ll compare secured vs. unsecured lending, interpret covenant packages, and apply practical collateral valuation and recovery techniques. Through short videos, doc reviews, and a hands-on exercise, you’ll identify structural weaknesses and translate findings into lender-ready recommendations.

What's included

6 videos1 reading1 assignment1 peer review

In this module, you’ll turn ESG signals into credit-relevant insights. You’ll map environmental (transition and physical), social, and governance risks to cash flows, leverage, refinancing, and collateral—then link them to PD/LGD/EAD and pricing. A case study and a document-review exercise help you extract red flags from sustainability disclosures and rating notes, convert findings into covenants/limits, and account for data gaps and greenwashing risk.

What's included

6 videos1 reading1 assignment1 peer review1 discussion prompt

In this module, you’ll build and interpret stress tests to gauge portfolio resilience under adverse conditions. You’ll craft scenarios, run Excel-based sensitivities, and read key metrics (PD, LGD, EAD, loss/coverage) in a regulatory context. Short videos, a hands-on model, and a quiz help you translate results into risk limits, capital plans, and action-ready recommendations—while acknowledging model limits and uncertainty.

What's included

6 videos1 reading1 assignment2 peer reviews

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Instructors

 Michael McDonald
Starweaver
2 Courses116 learners
Starweaver
Starweaver
413 Courses775,317 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.