Learners will examine model reliability and data integrity frameworks, evaluate capital strength under adverse scenarios, and assess institutional resilience practices used by large financial organizations. By the end of the course, participants will be able to interpret capital and risk indicators, analyze stress outcomes, and apply resilience principles to real-world risk decisions.

Capital Adequacy, Stress Scenarios, and Financial Resilience
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What you'll learn
Interpret capital and risk indicators and analyze stress test outcomes under adverse scenarios.
Evaluate model risk, data integrity, and institutional resilience frameworks.
Apply capital planning and resilience principles to senior-level risk decision-making.
Skills you'll gain
Details to know

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January 2026
27 assignments
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There are 7 modules in this course
This module introduces the FRM Level 1 framework and explores pooled investment vehicles, focusing on mutual funds, hedge funds, and ethical considerations relevant to financial risk management.
What's included
7 videos4 assignments
This module examines hedge fund economics, strategies, and the post-trade market infrastructure, including central counterparties and over-the-counter derivatives markets.
What's included
8 videos4 assignments
This module focuses on regulatory reforms in derivatives markets and the role of central clearing mechanisms in managing systemic risk and financial stability.
What's included
4 videos3 assignments
This module covers the valuation and mechanics of futures and forward contracts, interest rate conventions, and key money market and bond futures instruments.
What's included
9 videos4 assignments
This module introduces interest rate hedging techniques and foundational regression concepts used to quantify financial risk exposures.
What's included
7 videos4 assignments
This module focuses on applying regression models to real-world financial data and measuring returns and volatility for risk assessment.
What's included
8 videos4 assignments
This module introduces quantitative analysis concepts and machine learning techniques used to model dependence, predict outcomes, and evaluate financial risk.
What's included
20 videos4 assignments
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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