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Study Guide: FRM Part I — Exam Survival Playbook 2
Source: https://www.fatskills.com/frm-foundation-of-risk-management/chapter/frm-part-i-exam-survival-playbook-2

FRM Part I — Exam Survival Playbook 2

By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.

⏱️ ~3 min read

Format: 100 MCQs in one session, foundations of risk management

Must-do topics

  • Foundations of risk management – risk types, risk appetite, governance, Basel/regulatory ideas, lessons from past crises
  • Quantitative analysis – probability, distributions, sampling, hypothesis testing, regression basics, correlation vs causation
  • Financial markets & products – bonds, equities, derivatives, forwards/futures/swaps/options, basic structured products
  • Valuation & risk models – VaR (variance-covariance, historical, Monte Carlo), expected shortfall, duration/convexity, stress testing, back-testing
  • Basic fixed-income math – yields, term structure, credit spreads, duration/convexity interpretations
  • Derivatives for hedging – delta hedging idea, simple hedge ratios, payoff logic

Top traps (avoid)

  • Learning formulas without understanding model assumptions (normality, linearity, independence, etc.)
  • Confusing “risk type” (market/credit/operational/liquidity) when reading scenarios
  • Treating VaR as a magic number instead of a model with blind spots
  • Forgetting the direction of hedges (long vs short, pay vs receive, etc.)
  • Missing which parameter is being shifted in a sensitivity or stress scenario
  • Spending 4–5 minutes deriving something that could be answered by rough reasoning

Time split

  • 100 questions; assume ~90 seconds per question on average
  • Practical pacing:
    • First 40 questions → 55–60 minutes (fast, banking marks)
    • Next 40 questions → 60–65 minutes (moderate difficulty)
    • Last 20 questions → rest of time + buffer for flagged items

Last-48h checklist

  • Work through:
    • 20–30 quant questions (distributions, hypothesis testing, regression, correlation)
    • 20+ questions on VaR and risk measures (interpretation-heavy)
  • Re-read:
    • Summaries of major risk events and what models failed to capture
    • Pros/cons of each VaR approach; limits of using VaR as single risk metric
  • Build one “risk map” on paper: risk types × main sources × basic controls
  • Do 1 mini mock of 50 questions straight to test stamina + recall

Quick facts / models

  • VaR is always about: “loss level L, time horizon T, confidence level c”
  • Historical vs parametric vs Monte Carlo: data-driven vs assumption-driven vs scenario-driven
  • Duration is first-order (linear) price sensitivity; convexity corrects the curve
  • Correlation is not causation; look for common drivers and regime changes
  • Stress tests: “What happens if X goes very wrong?” not just “1σ move”

Speed tactics

  • For quant questions:
    • Draw a small picture (distribution, axes, “tail area”) before touching numbers
  • For product/hedge questions:
    • Decide position sign first (what risk you’re long/short), then choose the hedge direction
  • For conceptual risk-governance questions:
    • Ask: “What would a boring, well-run risk committee do in real life?” — that’s usually the answer
  • Use elimination: kill two obviously weak options, then focus on model assumptions to pick between the last two

Day-of mini-plan

  • Warm up with 5–10 mixed questions (1 quant, 1 VaR, 1 market product, 1 governance, 1 scenario)
  • In the exam, mark anything that feels heavy on algebra; don’t let it break your pace
  • Hydrate, but not excessively; you don’t want unnecessary breaks
  • Last 10–15 minutes:
    • Clear all blanks
    • Revisit questions where you were between two options and now have more context from the rest of the paper