FRM Part 1 structure and weightings
The FRM Part 1 exam runs 4 hours with 100 multiple-choice questions. GARP structures the content across four subject areas, each requiring a different type of thinking — from statistical intuition in Quantitative Analysis to derivative pricing in Valuation & Risk Models:
Foundations of Risk Management
- Risk governance and ERM
- CAPM and APT
- Behavioural finance
- Financial disasters case studies
- GARP Code of Conduct
Quantitative Analysis
- Probability distributions
- Statistical inference
- Linear regression and time series
- EWMA and GARCH volatility
- Copulas and correlations
Financial Markets & Products
- Bonds and interest rates
- Futures, forwards, swaps
- Options pricing and strategies
- FX markets and commodities
- Central clearing and margining
Valuation & Risk Models
- VaR methods (parametric, historical, MC)
- Expected Shortfall and backtesting
- Bond duration and convexity
- Options Greeks and hedging
- Credit risk and credit derivatives
The hardest section for most candidates: Quantitative Analysis and Valuation & Risk Models together account for 50% of the exam and require genuine mathematical fluency — not memorisation. Practice questions that require you to actually compute a VaR estimate or interpret a regression coefficient are far more effective than concept review alone.
Why studying for the FRM is different from the CFA
The CFA Level 1 rewards broad recall across 10 topic areas. The FRM Part 1 rewards deep quantitative fluency in a narrower set of subjects. Candidates who passed CFA Level 1 often underestimate the FRM's mathematical depth — the Quantitative Analysis section requires genuine comfort with distributions, regression, and volatility models, not just definitional knowledge.
The most common failure mode: candidates who can define GARCH but can't calculate a one-step-ahead variance forecast. Pinnacle generates computation-first questions — not just recall questions — so you practise the type of reasoning the exam actually requires.
Sample question: Quantitative Analysis
A portfolio has daily returns with a mean of 0.05% and a standard deviation of 1.2%. Assuming normally distributed returns, what is the 1-day 99% Value at Risk (VaR) for a $10 million portfolio?
At 99% confidence, z = 2.326. VaR = Portfolio × (μ − z × σ) in loss terms.
= $10,000,000 × (2.326 × 0.012 − 0.0005) = $10,000,000 × 0.027492 = $274,920
Choice A ignores the mean (uses z × σ only). Choice C uses z = 2.4 (a common misremembering of the 99% z-score). The mean adjustment is small but tested precisely because candidates forget it.
How Pinnacle structures FRM Part 1 practice
- Computation-first questions — every quantitative topic generates questions that require actual calculation, not just concept recall
- Error pattern tracking — if you consistently miss GARCH volatility questions, the next session will include more of them regardless of topic
- FSRS spaced repetition — hard concepts are reviewed more frequently, easy ones less, based on your personal forgetting curve
- Amber, your AI tutor — ask "why is the mean subtracted in the VaR formula?" and get a focused explanation, not a textbook summary
- Mock exams — full 100-question timed simulation at exam-day pace (4 hours, 2.4 minutes per question) — Pro feature
Recommended study timeline
GARP estimates candidates typically invest around 240 hours of total study time across both FRM Part 1 and Part 2. Most candidates who pass Part 1 on their first attempt spread their share of that across 3–4 months of consistent, daily practice rather than long irregular sessions:
- Months 1–2: Foundations and Quantitative Analysis — build the mathematical base first
- Months 3–4: Financial Markets & Products — the highest-weight section, needs the most time
- Month 5: Valuation & Risk Models — builds on everything preceding it
- Month 6: Full review with mock exams, focus on error patterns
Pinnacle's adaptive engine handles the "what should I study today?" question automatically — it analyses your error patterns and builds each session around your current weakest areas.