FRM Video Course
Start with 2 free preview lessons now. The full FRM video course spans 144+ lessons across all 10 exam topics.
Introduction to Risk Management
FreeWhat is risk management, why it matters, and the fundamental concepts every FRM candidate must understand. Covers risk types, governance, and the role of the risk manager.
Understanding Value at Risk (VaR)
FreeA visual, intuitive explanation of VaR — parametric, historical simulation, and Monte Carlo approaches. Learn what VaR tells you and what it doesn't.
Complete Course Curriculum
144+ lessons covering every FRM exam topic in depth. The first 2 lessons are free — upgrade for full access.
Part 1 — Core FRM Topics
Foundations, quantitative methods, markets, and valuation models.
Foundations of Risk Management
Exam weight: 20% · 16 lessons
Risk types, governance, and the role of the risk manager.
Holistic frameworks for managing risk across the firm.
Board responsibilities, CRO independence, and three lines of defense.
How culture drives risk outcomes — case studies from Barings to Wells Fargo.
Identify, measure, monitor, control — a step-by-step walkthrough.
Economic capital, RAROC, and risk-adjusted performance measurement.
Setting risk appetite statements, limits, and tolerances.
Insurance, hedging, securitization, and outsourcing risk.
Lessons from Enron, LTCM, Bear Stearns, and the GFC.
Basel I through Basel III.1 — evolution of capital regulation.
Reverse stress tests, scenario design, and regulatory expectations.
Model validation, SR 11-7 guidance, and model governance.
Principles for effective risk data aggregation and reporting.
Identifying emerging risks before they crystallize.
Practitioner perspectives on real-world risk management challenges.
Comprehensive review of key concepts and exam strategies.
Quantitative Analysis
Exam weight: 20% · 16 lessons
Normal, lognormal, t-distribution, and their risk applications.
Mean, variance, skewness, kurtosis — interpreting return distributions.
Type I/II errors, p-values, and confidence intervals for risk decisions.
OLS estimation, R², residual analysis, and multicollinearity.
AR, MA, ARMA models and their use in financial forecasting.
Exponentially weighted moving average and GARCH(1,1) in detail.
Measuring dependence, Gaussian vs. t-copulas, and tail dependence.
Generating random paths, variance reduction, and practical implementation.
Modeling tail risk with GEV and GPD distributions.
Dimensionality reduction for yield curves and risk factor analysis.
MLE for fitting distributions to loss data.
Prior distributions, posterior updating, and Bayesian VaR.
Historical simulation, kernel density estimation, and bootstrapping.
Decision trees, random forests, and neural nets for credit scoring.
Heteroskedasticity, autocorrelation, and remedies.
Topic review, formula sheet walkthrough, and exam tips.
Financial Markets and Products
Exam weight: 30% · 17 lessons
Forwards, futures, options, swaps — and practical hedging.
Margins, daily settlement, convergence, and basis risk.
Compounding, day counts, zero rates, and bootstrapping the curve.
FRA pricing, plain vanilla swap valuation, and swap spreads.
Call/put payoffs, intrinsic vs. time value, and option strategies.
Spreads, straddles, strangles, collars, and protective puts.
Barrier, Asian, lookback, and compound options explained visually.
Bond pricing, yield measures, and the term structure of interest rates.
Prepayment risk, pass-throughs, CMOs, and the 2008 crisis.
Spot, forward, and cross-rates — covered interest rate parity.
Futures curves, contango, backwardation, and storage costs.
How central counterparties reduce systemic risk.
Master agreements, netting, collateral, and CSAs.
Repo mechanics, haircuts, and the tri-party repo market.
SPVs, tranching, waterfall structures, and CDOs.
ETF mechanics, authorized participants, and liquidity risks.
Cross-product review and exam preparation strategies.
Valuation and Risk Models
Exam weight: 30% · 16 lessons
Parametric, historical, and Monte Carlo VaR approaches.
Present value, Macaulay duration, modified duration, and DV01.
Second-order bond price sensitivity and key rate durations.
Assumptions, formula derivation (intuitive), and limitations.
Delta, gamma, theta, vega, rho — with interactive payoff diagrams.
Dynamic hedging, rebalancing frequency, and gamma exposure.
Building the tree, risk-neutral probabilities, and American options.
Extracting IV from market prices, skew, and the volatility surface.
Why ES replaced VaR in regulation — subadditivity and tail risk.
Mapping positions to risk factors for efficient VaR computation.
Pricing counterparty credit risk into derivatives.
Historical and hypothetical stress scenarios for portfolio risk.
Kupiec and Christoffersen tests, Basel traffic light approach.
VaR vs ES vs spectral risk measures — pros, cons, and use cases.
Vasicek, CIR, and HJM frameworks for interest rate modeling.
Comprehensive exam review covering all valuation topics.
Part 2 — Applied Risk Management
Market, credit, operational, liquidity, investment risk, and current issues.
Market Risk Measurement and Management
Exam weight: 20% · 14 lessons
Variance-covariance approach, portfolio VaR, and component VaR.
Weighted historical simulation, age-weighting, and volatility updating.
Correlated random variables, Cholesky decomposition, and convergence.
Basel 2.5 stressed VaR, the multiplier, and capital requirements.
Internal Models Approach vs. Standardized Approach under FRTB.
Liquidity horizons, partial ES, and the capital formula.
Green, yellow, and red zones — validation methodology.
Delta, vega, and curvature risk charges under the standardized approach.
IRRBB, EVE, NII sensitivity, and regulatory standards.
Comprehensive risk measure for securitization positions.
NMRF, observable prices, and the regulatory data quality test.
Incorporating bid-ask spreads and liquidation horizons into VaR.
JP Morgan Whale, Archegos, and other market risk failures.
Comprehensive Part 2 market risk review and exam strategies.
Credit Risk Measurement and Management
Exam weight: 20% · 14 lessons
PD, LGD, EAD, and the expected loss framework.
Internal ratings, external agencies, through-the-cycle vs. point-in-time.
Equity as a call option on assets, distance to default.
Hazard rates, intensity models, and credit curve calibration.
CreditMetrics, CreditRisk+, and portfolio credit VaR.
CDS pricing, the credit triangle, and basis trading.
PFE, EPE, CVA, DVA, and the impact of netting and collateral.
General and specific wrong-way risk — examples and mitigation.
Netting, collateral, guarantees, and credit derivatives.
Foundation and Advanced IRB, risk-weight formulas, and asset correlations.
Tranching, attachment/detachment points, and correlation sensitivity.
Macro stress scenarios, migration matrices under stress.
CLOs, synthetic CDOs, and total return swaps.
Comprehensive credit risk review and Part 2 exam strategies.
Operational Risk and Resilience
Exam weight: 20% · 15 lessons
Basel definition, 7 loss event types, and 8 business lines.
Risk and Control Self-Assessment methodology and best practices.
Designing, calibrating, and monitoring forward-looking risk metrics.
Internal loss data, external data, and consortium databases.
Frequency-severity modeling and Monte Carlo aggregation.
Expert judgment, structured workshops, and scenario quantification.
Business Indicator Component, ILM, and the new simplified approach.
Cyber threats, NIST framework, and quantifying cyber risk.
Model development, validation, governance, and inventory management.
Vendor assessment, concentration risk, and fourth-party risk.
Impact tolerances, mapping, and recovery from disruption.
Internal and external fraud, controls, and detection methods.
BCP, disaster recovery, and pandemic preparedness.
Société Générale, Knight Capital, and IT failures.
Comprehensive review of operational risk for the FRM exam.
Liquidity and Treasury Risk
Exam weight: 15% · 13 lessons
Funding vs. market liquidity risk, and the liquidity spiral.
HQLA composition, net cash outflows, and the 30-day stress test.
Structural funding requirements and ASF/RSF factor assignment.
Real-time gross settlement, queuing, and intraday monitoring.
Allocating liquidity costs to business units for better pricing.
Stress scenarios, action triggers, and emergency funding sources.
Scenario design, behavioral assumptions, and survival horizons.
Gap analysis, duration matching, and cash flow modeling.
Margin requirements, rehypothecation, and collateral optimization.
Discount window, emergency lending, and stigma effects.
Order flow, bid-ask dynamics, and flash crashes.
Repo runs, fire sales, and the 2019 repo market disruption.
Comprehensive liquidity and treasury risk exam review.
Risk Management and Investment Management
Exam weight: 15% · 12 lessons
Efficient frontier, CML, SML, and beta decomposition.
Fama-French, APT, and multi-factor risk decomposition.
Sharpe, Treynor, Information Ratio, and attribution analysis.
Risk contribution, equal risk, and factor-based risk budgeting.
Strategy risks, leverage, liquidity, and due diligence.
Long/short, global macro, event-driven, and relative value.
Fundamental law, IC, breadth, and the alpha decay problem.
Mean-variance, Black-Litterman, and robust optimization.
PE, real estate, infrastructure — smoothing, J-curve, and IRR.
Tail hedging, protective puts, and portfolio insurance strategies.
ESG scoring, negative screens, and impact on risk-return profiles.
Part 2 investment risk management comprehensive review.
Current Issues in Financial Markets
Exam weight: 10% · 11 lessons
Physical risk, transition risk, TCFD framework, and climate scenarios.
Latest regulatory developments and implementation timeline.
What went wrong, IRRBB lessons, and regulatory response.
Crypto risk management, DeFi protocol risks, and stablecoin risks.
Model risk for ML, explainability, bias, and regulatory guidance.
Ransomware, supply chain attacks, and regulatory expectations.
Sanctions, trade wars, deglobalization, and scenario analysis.
Shadow banking, systemic risk, and regulatory gaps.
Higher-for-longer rates, impact on banks, and IRRBB management.
UK, EU, and Basel operational resilience frameworks compared.
Key current topics, likely exam angles, and preparation strategies.
Meet Your Instructors
Learn from finance professionals with deep experience across market risk, credit, derivatives, portfolio management, and exam instruction. The faculty section is designed to show breadth, not just names.

Dr. Michael Chen
PhD in Financial Engineering
Former quantitative strategist at Goldman Sachs with 12+ years in risk modeling. Specializes in derivatives pricing, VaR methodologies, and Monte Carlo simulation. Has helped over 3,000 candidates prepare for the FRM exam.

Dr. James Whitfield
PhD in Economics
Credit risk specialist with 15 years at Moody's Analytics and HSBC. Expert in structural models, Basel frameworks, and credit portfolio management. Published researcher in the Journal of Credit Risk.

Prof. David Harding
MSc in Mathematical Finance
Market risk practitioner and adjunct professor at NYU Stern. 10+ years of experience in fixed income trading and interest rate derivatives at JPMorgan. Focused on making complex quantitative concepts intuitive.

Dr. Robert Ellis
PhD in Finance
Former Head of Risk at a $4B hedge fund with expertise in liquidity risk, stress testing, and investment risk management. Currently lectures at London Business School and advises fintech firms on risk infrastructure.

Sarah Bennett
Former Basel Policy Advisor
Former regulatory advisory lead supporting capital, market risk, and model governance programs for global banks in New York and London. Known for translating dense Basel content into exam-ready intuition.

Daniel Foster
Portfolio & Treasury Risk Specialist
Treasury and asset allocation specialist with experience spanning ALM, liquidity stress testing, and multi-asset portfolio construction. Focused on helping candidates connect theory to real desk-level decisions.
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