FRM Part II · Paper 1
FRM Part II Exam: Complete Preparation Guide
FRM Part II is a single computer-based exam of 80 equally weighted multiple-choice questions in 4 hours. It covers market, credit, operational, liquidity and treasury risk, investment risk management and current issues. To solve it, learn each risk measure, its method and its interpretation, then practise applied questions under timed conditions.
FRM Part II tests whether you can apply risk concepts to realistic situations. It is one exam of 80 multiple-choice questions, all equally weighted, in 4 hours. It covers six topics: Market Risk Measurement and Management; Credit Risk Measurement and Management; Operational Risk and Resilience; Liquidity and Treasury Risk Measurement and Management; Risk Management and Investment Management; and Current Issues in Financial Markets.
Questions are applied and often case-like. You may get a short scenario with figures and be asked to compute a measure, pick the right method, or interpret a result. You need to know the measure (for example VaR, expected shortfall, CVA or a liquidity coverage metric), the method behind it, and what the answer means. You also need to name Basel and other regulatory concepts precisely, as GARP presents them. Context is international: USD, EUR, global banks and markets.
GARP scores FRM exams on a pass/fail basis and publishes no pass mark or pass percentage. Candidates also receive quartile results. So do not chase a target score. Aim for broad, steady strength across all six topics, because a weak topic costs you questions you cannot easily win back elsewhere. Candidates who do well tend to mix concept reading with many practice questions. Those who only read the curriculum often struggle with the applied wording. The Current Issues topic changes each cycle. The 2026 readings cover artificial intelligence, private credit, geopolitical risk, rising government debt, crypto and digital assets, and digital resilience.
FRM Exam Part II: chapters and topics
Market Risk Measurement and Management
Estimating Market Risk Measures: An Introduction and Overview
- Value at Risk (VaR) Basics and Parameters
- Historical Simulation VaR
- Parametric VaR: Normal and Lognormal
- Expected Shortfall and Coherent Risk Measures
- Spectral Risk Measures and Risk-Aversion Weights
- Estimating Standard Errors and Confidence Intervals for Risk Measures
- QQ Plots and Assessing Distributional Fit
Market Risk Measurement and Management
Non-parametric Approaches
Market Risk Measurement and Management
Parametric Approaches (II): Extreme Value
Market Risk Measurement and Management
Backtesting VaR
Market Risk Measurement and Management
VaR Mapping
Market Risk Measurement and Management
Validating Bank Holding Companies' Value-at-Risk Models for Market Risk
- VaR Model Validation Framework and Objectives
- Backtesting VaR Models and Exception Counting
- Statistical Tests of VaR Accuracy and Independence
- Data Inputs, Risk Factor Mapping and Model Assumptions
- Benchmarking, Stress Testing and Sensitivity Analysis
- Limitations of VaR Validation and Supervisory Findings
Market Risk Measurement and Management
Beyond Exceedance-Based Backtesting of Value-at-Risk Models
Market Risk Measurement and Management
Correlation Basics: Definitions, Applications, and Terminology
Market Risk Measurement and Management
Empirical Properties of Correlation: How Do Correlations Behave in the Real World?
- Correlation Basics and Why Correlations Matter
- Correlation Behavior in Equities: Mean Reversion
- Correlation and Market Conditions: Volatility and Economic States
- Correlation Behavior in Other Asset Classes
- Correlation Distributions, Skewness and Persistence
- Implications for Risk Models and Correlation Breakdown
Market Risk Measurement and Management
Financial Correlation Modeling - Bottom-Up Approaches
Market Risk Measurement and Management
Regression Hedging and Principal Component Analysis
Market Risk Measurement and Management
Arbitrage Pricing with Term Structure Models
Market Risk Measurement and Management
Expectations, Risk Premium, Convexity and the Shape of the Term Structure
Market Risk Measurement and Management
The Art of Term Structure Models: Drift
Market Risk Measurement and Management
The Art of Term Structure Models: Volatility and Distribution
- Interest Rate Volatility and Term Structure Basics
- Normal Model with Constant Volatility (Model 1)
- Ho-Lee Model with Time-Dependent Drift
- Vasicek Model and Mean Reversion
- Time-Dependent Volatility: Models 3 and Hull-White
- Cox-Ingersoll-Ross (CIR) Model and Rate-Dependent Volatility
- Lognormal Models: Black-Karasinski and Salomon Brothers
- Volatility Term Structure and Rate Distribution Comparison
Market Risk Measurement and Management
The Vasicek and Gauss+ Models
Market Risk Measurement and Management
Volatility Smiles and Volatility Surfaces
- Implied Volatility and Black-Scholes Pricing Assumptions
- Volatility Smiles for Foreign Currency Options
- Volatility Skew for Equity and Index Options
- Alternative Ways to Characterize the Volatility Smile
- The Volatility Term Structure and Volatility Surfaces
- Greek Letters and the Volatility Smile
- Models for Smiles: Jumps, Stochastic Volatility and Alternatives
- Determining Implied Distributions and Detecting Mispricing
Market Risk Measurement and Management
Fundamental Review of the Trading Book
Credit Risk Measurement and Management
Fundamentals of Credit Risk
- Credit Risk Components: PD, LGD, EAD and Expected Loss
- Expected vs Unexpected Loss and Credit VaR
- Credit Ratings and Transition Matrices
- Structural and Reduced-Form Credit Models
- Credit Spreads and Risk-Neutral vs Real-World Default Probabilities
- Credit Risk Mitigation: Collateral, Netting and Guarantees
Credit Risk Measurement and Management
Governance
Credit Risk Measurement and Management
Credit Risk Management
- Credit Risk Fundamentals and Credit Analysis
- Credit Ratings and Rating Transition Matrices
- Structural and Reduced-Form Credit Models
- Credit Portfolio Risk and Concentration
- Counterparty Credit Risk and Exposure Measures
- Credit Risk Mitigation: Collateral, Guarantees and Covenants
- Credit Derivatives and Securitization
- Credit Risk Governance, Regulation and Capital
Credit Risk Measurement and Management
Capital Structure in Banks
Credit Risk Measurement and Management
Introduction to Credit Risk Modeling and Assessment
Credit Risk Measurement and Management
Credit Scoring and Rating
Credit Risk Measurement and Management
Credit Scoring and Retail Credit Risk Management
Credit Risk Measurement and Management
Country Risk: Determinants, Measures, and Implications
Credit Risk Measurement and Management
Estimating Default Probabilities
- Credit Ratings and Historical Default Rates
- Rating Transition Matrices
- Default Probabilities from Bond Yields and Credit Spreads
- Default Probabilities from CDS Spreads and Asset Swaps
- Real-World vs Risk-Neutral Default Probabilities
- Merton Model and Equity-Based Default Estimation
- Credit Scoring and Altman Z-Score
- Recovery Rates and Their Link to Default
Credit Risk Measurement and Management
Credit Value at Risk
- Credit VaR Fundamentals and Loss Distribution
- Credit Risk Parameters: PD, LGD and EAD
- Portfolio Credit Risk and Default Correlation
- Structural Models: Merton and KMV
- CreditMetrics Approach
- CreditRisk+ and Actuarial Models
- Single-Factor Model and Vasicek Credit VaR
- Model Comparison, Validation and Limitations
Credit Risk Measurement and Management
Portfolio Credit Risk
- Credit Portfolio Risk and Diversification
- Expected Loss, Unexpected Loss and Economic Capital
- Default Correlation and Copula Models
- Structural Models: Merton and KMV
- Vasicek Single-Factor Model and Large Homogeneous Portfolios
- Industry Credit Portfolio Models
- Credit Risk Mitigation and Portfolio Management
Credit Risk Measurement and Management
Structured Credit Risk
Credit Risk Measurement and Management
Credit Risk
Credit Risk Measurement and Management
Credit Derivatives
Credit Risk Measurement and Management
Derivatives
Credit Risk Measurement and Management
Counterparty Risk and Beyond
Credit Risk Measurement and Management
Netting, Close-out and Related Aspects
Credit Risk Measurement and Management
Margin (Collateral) and Settlement
Credit Risk Measurement and Management
Central Clearing
Credit Risk Measurement and Management
Future Value and Exposure
Credit Risk Measurement and Management
Credit Value Adjustment
Credit Risk Measurement and Management
The Evolution of Stress Testing Counterparty Exposures
Credit Risk Measurement and Management
An Introduction to Securitisation
- Securitisation Basics and the Originate-to-Distribute Model
- Securitisation Structure and Key Participants
- Tranching, Subordination and Credit Enhancement
- Types of Securitised Products: ABS, MBS, CDO and CLO
- Synthetic Securitisation and Credit Derivatives
- Risks, Ratings and Lessons from the Subprime Crisis
- Regulation and Capital Treatment of Securitisation
Operational Risk and Resilience
Introduction to Operational Risk and Resilience
Operational Risk and Resilience
Risk Governance
Operational Risk and Resilience
Risk Identification
Operational Risk and Resilience
Risk Measurement and Assessment
Operational Risk and Resilience
Risk Mitigation
Operational Risk and Resilience
Risk Reporting
Operational Risk and Resilience
Integrated Risk Management
Operational Risk and Resilience
Cyber-resilience: Range of Practices
Operational Risk and Resilience
Case Study: Cyberthreats and Information Security Risks
Operational Risk and Resilience
Sound Management of Risks Related to Money Laundering and Financing of Terrorism
Operational Risk and Resilience
Case Study: Financial Crime and Fraud
Operational Risk and Resilience
Guidance on Managing Outsourcing Risk
Operational Risk and Resilience
Case Study: Third-party Risk Management
Operational Risk and Resilience
Case Study: Investor Protection and Compliance Risks in Investment Activities
Operational Risk and Resilience
Supervisory Guidance on Model Risk Management
Operational Risk and Resilience
Case Study: Model Risk and Model Validation
Operational Risk and Resilience
Stress Testing Banks
Operational Risk and Resilience
Risk Capital Attribution and Risk-Adjusted Performance Measurement
Operational Risk and Resilience
Range of Practices and Issues in Economic Capital Frameworks
Operational Risk and Resilience
Capital Planning at Large Bank Holding Companies: Supervisory Expectations and Range of Current Practice
Operational Risk and Resilience
Capital Regulation Before the Global Financial Crisis
Operational Risk and Resilience
Solvency, Liquidity and Other Regulation After the Global Financial Crisis
Operational Risk and Resilience
High-level Summary of Basel III Reforms
- Basel III Reforms: Objectives and Overview
- Revised Standardised Approach for Credit Risk
- Internal Ratings-Based Approach Changes and Output Floor
- Operational Risk: Standardised Approach (SMA)
- Credit Valuation Adjustment (CVA) Risk Framework
- Leverage Ratio Revisions and G-SIB Buffer
- Implementation Timeline and Transitional Arrangements
Operational Risk and Resilience
Basel III: Finalising Post-crisis Reforms
- Basel III Finalisation Overview and Objectives
- Revised Standardised Approach for Credit Risk
- Revised Internal Ratings-Based Approach and Input Floors
- Standardised Approach for Operational Risk (SMA)
- Operational Risk Loss Data and Governance Requirements
- Credit Valuation Adjustment (CVA) Risk Framework
- Output Floor and Leverage Ratio Revisions
Liquidity and Treasury Risk Measurement and Management
Liquidity Risk
Liquidity and Treasury Risk Measurement and Management
Liquidity and Leverage
Liquidity and Treasury Risk Measurement and Management
Early Warning Indicators
Liquidity and Treasury Risk Measurement and Management
The Investment Function in Financial Services Management
Liquidity and Treasury Risk Measurement and Management
Liquidity and Reserves Management: Strategies and Policies
Liquidity and Treasury Risk Measurement and Management
Intraday Liquidity Risk Management
Liquidity and Treasury Risk Measurement and Management
Monitoring Liquidity
Liquidity and Treasury Risk Measurement and Management
The Failure Mechanics of Dealer Banks
Liquidity and Treasury Risk Measurement and Management
Liquidity Stress Testing
- Liquidity Risk Fundamentals and Stress Testing Objectives
- Designing Liquidity Stress Test Scenarios
- Cash Flow Projection and Behavioral Assumptions
- Liquidity Buffers, Counterbalancing Capacity and Survival Horizon
- Regulatory Frameworks: LCR, NSFR and Supervisory Stress Tests
- Governance, Reverse Stress Testing and Use of Results
Liquidity and Treasury Risk Measurement and Management
Liquidity Risk Reporting and Stress Testing
Liquidity and Treasury Risk Measurement and Management
Contingency Funding Planning
- Contingency Funding Plan (CFP) Basics and Objectives
- Liquidity Stress Events and Early Warning Indicators
- Stress Testing and Scenario Analysis for Liquidity
- Contingent Funding Sources and Liquidity Buffers
- Governance, Roles and Crisis Management Procedures
- Lessons from Liquidity Crises and Regulatory Guidance
Liquidity and Treasury Risk Measurement and Management
Managing Nondeposit Liabilities
- Nondeposit Liabilities and Wholesale Funding Basics
- Federal Funds and Repurchase Agreements
- Commercial Paper, Eurodollars and Other Market Funding
- Secured Funding: FHLB Advances and Central Bank Facilities
- Long-Term Debt, Brokered and Large Time Deposits
- Managing Funding Concentration, Cost and Liquidity Risk
Liquidity and Treasury Risk Measurement and Management
Repurchase Agreements and Financing
Liquidity and Treasury Risk Measurement and Management
Liquidity Transfer Pricing: A Guide to Better Practice
Liquidity and Treasury Risk Measurement and Management
The US Dollar Shortage in Global Banking and the International Policy Response
Liquidity and Treasury Risk Measurement and Management
Covered Interest Parity Lost: Understanding the Cross-Currency Basis
Liquidity and Treasury Risk Measurement and Management
Risk Management for Changing Interest Rates: Asset-Liability Management and Duration Techniques
Risk Management and Investment Management
Factor Theory
Risk Management and Investment Management
Factors
Risk Management and Investment Management
Alpha (and the Low-Risk Anomaly)
Risk Management and Investment Management
Portfolio Construction
- Portfolio Construction Basics and Mean-Variance Optimization
- Portfolio Constraints and Practical Implementation Issues
- Black-Litterman Model and Bayesian Approaches
- Risk Budgeting and Risk Parity
- Active Portfolio Management: Alpha, Information Ratio and Fundamental Law
- Factor-Based Portfolio Construction and Smart Beta
Risk Management and Investment Management
Portfolio Risk: Analytical Methods
Risk Management and Investment Management
VaR and Risk Budgeting in Investment Management
Risk Management and Investment Management
Portfolio Performance Evaluation
Risk Management and Investment Management
Hedge Fund Investment Strategies
- Hedge Fund Industry Structure and Fee Models
- Long/Short Equity and Equity Market Neutral Strategies
- Event-Driven Strategies: Merger Arbitrage and Distressed Debt
- Relative Value Strategies: Fixed Income and Convertible Arbitrage
- Global Macro, Managed Futures and CTA Strategies
- Hedge Fund Performance, Biases and Factor Models
- Fund of Funds, Due Diligence and Hedge Fund Risks
Risk Management and Investment Management
Risk, Regulation and Organizational Structure
Risk Management and Investment Management
The Rise and Risks of Private Credit
Risk Management and Investment Management
Private Markets Investing
- Private Equity Fund Structure and Fees
- Private Equity Strategies: Venture Capital and Buyouts
- Private Equity Performance Measurement (IRR, TVPI, PME)
- Private Equity Risks, Liquidity and Cash Flow Modeling
- Private Credit and Direct Lending
- Real Assets: Real Estate and Infrastructure Investing
- Due Diligence, Valuation and Governance of Private Funds
Risk Management and Investment Management
Performing Due Diligence on Specific Managers and Funds
Risk Management and Investment Management
Distress Symptoms and Remedies
Risk Management and Investment Management
Madoff: A Riot of Red Flags
Risk Management and Investment Management
Market-Driven Scenarios: An Approach for Plausible Scenario Construction
Risk Management and Investment Management
Liquidity Risk Management
Risk Management and Investment Management
Illiquid Assets
Current Issues in Financial Markets
Advances in Artificial Intelligence: Implications for Capital Markets Activities
Current Issues in Financial Markets
The Financial Stability Implications of Artificial Intelligence
Current Issues in Financial Markets
The Global Drivers of Private Credit
Current Issues in Financial Markets
Global Financial Stability Report, April 2025, Chapter 2 (Geopolitical Risk)
Current Issues in Financial Markets
Monetary and Fiscal Policy: Safeguarding Stability and Trust
Current Issues in Financial Markets
Regulating the Crypto Ecosystem: The Case of Unbacked Crypto Assets
Current Issues in Financial Markets
Tokenization and Financial Market Inefficiencies
- Tokenization and Distributed Ledger Basics
- Frictions in Traditional Financial Markets
- Benefits of Tokenization: Atomic Settlement and Programmability
- Tokenized Money: Stablecoins, CBDCs and Deposit Tokens
- Risks and Challenges of Tokenization
- Regulation, Market Structure and Financial Stability Implications
Current Issues in Financial Markets
Digital Resilience and Financial Stability: The Quest for Policy Tools in the Financial Sector
- Digital Transformation and Financial Stability Risks
- Operational and Cyber Risk as Systemic Threats
- Third-Party and Concentration Risk (Cloud and ICT Providers)
- Digital Resilience Frameworks and Regulation
- Macroprudential Policy Tools for Digital Risks
- Information Sharing, Crisis Coordination and Insurance
How to prepare FRM Exam Part II
The curriculum is large, with many readings across six topics. A fixed plan that moves from concepts to timed practice works better than reading everything once. Work backwards from your exam window. GARP offers Part II in May, August and November. The November 2026 window is November 21-25, 2026.
- Confirm your window and eligibility. Part II must be passed by December 31 of the fourth year after passing Part I. Remember that if you sit both Parts in the same administration and fail or skip Part I, Part II is not graded. Part I and Part II can be taken on the same day only in the August window.
- Map the six topics to your calendar. Give more weeks to topics where you have less work experience. A market risk specialist often needs extra time on operational risk and liquidity, and the reverse is also true. Leave the final two to three weeks for revision and mock exams only.
- Read each reading with three questions in mind: what is the measure, how is it calculated or assessed, and what does the result tell a risk manager? Write the answers in a short note per reading. These notes become your revision material and work well on a phone.
- Build a formula and definition sheet. Include VaR and expected shortfall methods, backtesting rules, correlation and term structure model features, credit loss measures, CVA components, and liquidity ratios. Rewrite it from memory each week until you can do it without looking.
- Practise numerical questions by hand. Recompute each worked example step by step, then change one input and redo it. This shows you which inputs drive the answer and prepares you for questions that give extra, unneeded data.
- Treat regulation and case readings as their own task. Learn the exact terms used in Basel documents and supervisory guidance, such as what each framework requires and who it applies to. For the case studies, list the failure, the cause and the control that would have prevented it.
- Cover Current Issues early and revisit them. These readings include AI, private credit, geopolitical risk, government debt, crypto and digital resilience. Summarise each in a few lines: the main risk, the transmission channel and the policy response.
- Take at least two full 80-question timed mocks in the last weeks. Review every wrong answer and every lucky guess. Log the cause: concept gap, calculation slip or misread wording. Then fix the pattern, not just the question.
Time management in the exam
- You have 4 hours for 80 questions, which is an average of three minutes per question. Check your pace against that average at fixed points, for example after every 20 questions.
- All questions carry equal weight. Do not spend six minutes on one hard calculation when two easy conceptual questions are waiting. Flag it and move on.
- Read the last line of the question first to see what is asked, then read the scenario. This stops you from doing extra calculations or missing a qualifier such as the one-day horizon or the confidence level.
- On a first pass, answer everything you can in under three minutes and flag the rest. Use the second pass for flagged calculations. Always choose an answer before moving on, in case you run out of time.
- For numerical questions, check units, signs and the time scale before committing, such as annual versus daily, or loss versus return. Many wrong options are built from exactly these slips.
- Keep ten to fifteen minutes at the end to revisit flagged questions. Change an answer only when you find a clear reason, not a vague doubt.
Mistakes that cost marks in FRM Exam Part II
Reading the curriculum without enough applied practice
Fix: Split your time roughly between learning and doing questions. Do timed practice from the first weeks, not just at the end.
Leaving weaker topics until last
Fix: Start with your weakest topic. All questions are equally weighted, so a gap in operational or liquidity risk costs as much as one in market risk.
Memorising formulas without knowing when to use them
Fix: For each formula, write when it applies, what its assumptions are and what the result means. Practise choosing between methods, not only calculating.
Using loose language for Basel and regulatory concepts
Fix: Use the definitions as GARP's readings present them. Build a glossary of exact terms and review it often, since options differ by one word.
Treating Current Issues as light reading
Fix: Study each one as a topic with its own key risks, channels and policy tools. Check that your readings match the current year's list.
Skipping timed full-length mocks
Fix: Do at least two full mocks under exam conditions. Practise flagging, pacing checks and finishing with review time.
FRM Exam Part II: frequently asked questions
How many questions are in the FRM Part II exam?
There are 80 multiple-choice questions, all equally weighted, to be completed in 4 hours. The exam is computer-based. Questions are applied, and many are built around short scenarios.
What is the pass mark for FRM Part II?
GARP scores FRM exams on a pass/fail basis and does not publish a pass mark or pass percentage. Candidates also receive quartile results. Results are released within eight weeks of the exam window closing.
Which topics does FRM Part II cover?
Six topics: Market Risk Measurement and Management; Credit Risk Measurement and Management; Operational Risk and Resilience; Liquidity and Treasury Risk Measurement and Management; Risk Management and Investment Management; and Current Issues in Financial Markets.
When can I take FRM Part II?
GARP offers Part II in May, August and November. The November 2026 window is November 21-25, 2026. You can take Part I and Part II on the same day only in the August window, and Part II is not graded if you fail or skip Part I in that sitting.
What do I need to become FRM certified after Part II?
You must pass both Part I and Part II. You must also submit two years of full-time relevant financial risk management work experience. Part II must be passed by December 31 of the fourth year after passing Part I.