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FRM Part I study plan for May 2027

Sixteen weeks, weighted to the syllabus, with the deadlines that matter and how to run each week.

The plan at a glance

Sixteen weeks from 11 January to the May 2027 window (Part I runs 8–13 May). Time follows the topic weights: the two 30% topics get four weeks each, and the last fortnight is for review and full-length mocks. GARP reports that candidates study about 240 hours on average; this plan budgets about 240 hours for Part I, roughly 15 a week.

WeeksDates (2027)TopicWeightHours
1–311 Jan – 31 JanFoundations of Risk Management20%≈ 42
4–61 Feb – 21 FebQuantitative Analysis20%≈ 45
7–1022 Feb – 21 MarFinancial Markets and Products30%≈ 60
11–1422 Mar – 18 AprValuation and Risk Models30%≈ 60
15–1719 Apr – 7 MayReview, mock exams, weak areas—≈ 33

Deadlines to put in your calendar

  • 1 December 2026 – 31 January 2027: early registration for May 2027 (USD 600).
  • 1 February – 31 March 2027: standard registration (USD 800). New candidates also pay the one-time USD 400 enrolment fee.
  • 23 April 2027: scheduling closes for the May window.
  • 8–13 May 2027: Part I exam window.

Prefer August? The same plan works for the 13–14 August window if you start in late April. See all FRM dates.

How to run each week

  • Read, then do questions the same day. Ten to twenty questions after each reading fixes it far better than rereading.
  • Keep a formula page. Add each formula as you meet it, and reread the page weekly. Start from our FRM Part I formula sheet.
  • Learn the calculator early. Part I has plenty of time value, bond pricing and statistics; the BA II Plus keystrokes save minutes per question.
  • Review on a schedule. Come back to missed questions after a day, then a few days, then a week.
  • Sit two timed mocks in the review weeks: 100 questions in four hours, as on the day.

What each topic covers

Foundations of Risk Management (20%)

Risk taxonomy, governance, CAPM, multifactor models, financial disasters.

  • Risk types, and the tools used to measure and manage them
  • Risk governance: board and audit responsibilities, risk appetite, ERM
  • Credit risk transfer mechanisms
  • CAPM and risk-adjusted performance measurement
  • Multifactor models
  • Risk data aggregation and risk reporting
  • Financial disasters and case studies; lessons of the global financial crisis
  • GARP Code of Conduct

Quantitative Analysis (20%)

Probability, hypothesis testing, regression, time series, volatility, simulation.

  • Probability, Bayes' rule, random variables and common distributions
  • Sample moments and hypothesis testing
  • Linear regression; multiple regression and regression diagnostics
  • Stationary and non-stationary time series
  • Measuring volatility and correlation
  • Simulation methods and bootstrapping
  • Machine learning and prediction

Financial Markets & Products (30%)

Institutions, market structure, futures, swaps, options, rates, FX, MBS.

  • Financial institutions and their risks: banks, insurers, pension funds, mutual and hedge funds
  • Economic vs regulatory capital; insurance company ratios
  • Exchange-traded and OTC market structure, central counterparties
  • Forwards and futures: mechanics, margin, hedge ratios, basis risk
  • Swaps: cash flows and valuation
  • Options: mechanics and payoffs
  • Interest rates and interest-rate products
  • Foreign exchange risk
  • Corporate bonds; mortgages and mortgage-backed securities
  • Commodity forwards and futures

Valuation & Risk Models (30%)

VaR and ES, option valuation, bond risk, stress testing, credit and op risk.

  • Value-at-Risk and Expected Shortfall; coherent risk measures
  • Volatility and correlation estimation
  • Economic and regulatory capital
  • Stress testing and scenario analysis
  • Option valuation; the binomial model and Black–Scholes–Merton
  • Fixed-income valuation, duration, convexity and hedging
  • Country and sovereign risk; external ratings and rating transition matrices
  • Credit risk: expected loss, unexpected loss, credit VaR
  • Operational risk: loss distributions, capital approaches, Monte Carlo estimation

Modules follow GARP's 2026 Learning Objectives; GARP had not published the 2027 objectives when this page was written. Check them once released.

Tools for the plan

A suggested plan, not GARP guidance. FRM® is a registered trademark of GARP; GroundLearn is not affiliated with GARP.

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