FRM Results Quartiles Explained: Decoding GARP's Score Report

When the Global Association of Risk Professionals (GARP) releases exam outcomes roughly six weeks following the May, August, or November computer-based testing windows, candidates receive no numerical grade, percentage mark, or explicit Minimum Passing Score (MPS). Instead, candidate performance is conveyed solely as an overall 'Pass' or 'Did Not Pass' alongside a four-tier relative ranking: quartile performance bands across each syllabus section. If you are examining your candidate portal to have your FRM results quartiles explained, understanding how these relative metrics interact with topic weighting is the single most critical step in evaluating your standing or building a targeted retake plan.

In the GARP scoring framework, quartiles measure your performance relative to all other global candidates sitting the same window. A quartile 1 (Q1) rating places your score in the top 25% of candidates for that specific domain. Quartile 2 (Q2) corresponds to the 51st to 75th percentile, Quartile 3 (Q3) spans the 26th to 50th percentile, and Quartile 4 (Q4) represents the bottom 25%. Because GARP does not employ a fixed universal pass mark, your overall result hinges on a composite cross-domain aggregate weighted against the psychometric benchmark set for that sitting.

GARP Scoring Mechanics and Historical Pass Rates

Unlike financial credentials such as the CFA or HKICPA Qualification Programme (QP) that supply continuous confidence intervals or scaled numerical marks, GARP evaluates candidates through an Angoff-derived standard evaluated across distinct test papers. Understanding historical pass rates provides crucial baseline context for where the aggregate cutoff sits:

Historically, FRM Part I pass rates hover between 42% and 46%, reflecting its role as a mathematical and conceptual filter across quantitative methods and financial engineering. FRM Part II pass rates sit higher, consistently ranging from 50% to 60%. This variance does not signify a simpler exam; rather, it reflects a self-selected candidate pool consisting exclusively of professionals who have already cleared Part I and possess deeper domain-specific exposure across market risk, Basel capital frameworks, and counterparty credit risk (CCR).

For risk professionals working in Hong Kong's banking sector—whether managing credit approval workflows at an Authorized Institution under HKMA guidelines or handling equity derivatives valuation in Central—clearing either part requires balancing domain weights rather than aiming for uniform perfection.

Domain Weighting: Part I and Part II Architectures

A frequent error among candidates analyzing an unexpected failing score is treating all four quartiles in Part I or all six quartiles in Part II equally. GARP explicitly weights syllabus areas unevenly. A poor performance in a 30% topic carries far more downside risk than an identical ranking in a 10% module.

FRM Part I Topic Breakdown

Part I comprises 100 multiple-choice questions distributed across four foundational risk areas:

1. Foundations of Risk Management (20%): Corporate governance, enterprise risk management (ERM), portfolio theory, and the GARP Code of Conduct.
2. Quantitative Analysis (20%): Probability distributions, hypothesis testing, linear regression, time series analysis, and simulation methods.
3. Financial Markets and Products (30%): Over-the-counter (OTC) derivatives, mechanics of futures/forwards, swaps, options strategies, foreign exchange risk, and sovereign debt.
4. Valuation and Risk Models (30%): Value at Risk (VaR), Expected Shortfall (ES), option pricing via Black-Scholes-Merton and binomial trees, sovereign credit ratings, and stress testing.

Because Financial Markets and Products combined with Valuation and Risk Models represent a decisive 60% of the Part I exam, scoring a Q4 in either domain creates an aggregate deficit that Q1 marks in Foundations or Quants rarely offset.

FRM Part II Topic Breakdown

Part II tests practical application across 80 multiple-choice questions structured across six specialized domains:

1. Market Risk Measurement and Management (20%): Advanced parametric and historical simulation VaR, backtesting, extreme value theory (EVT), and volatility smile dynamics.
2. Credit Risk Measurement and Management (20%): Probability of default (PD), loss given default (LGD), credit valuation adjustment (CVA), structured credit products, and counterparty exposure.
3. Operational Risk and Resiliency (20%): Basel Committee regulatory capital frameworks, cyber resilience, operational loss distributions, model risk governance, and third-party risk.
4. Liquidity and Treasury Risk Measurement and Management (15%): Liquidity coverage ratios (LCR), net stable funding ratios (NSFR), intraday liquidity, asset-liability management (ALM), and contingent funding plans.
5. Risk Management and Investment Management (15%): Factor investing, hedge fund risk metrics, portfolio performance attribution, and alpha-beta separation.
6. Current Issues in Financial Markets (10%): Contemporary developments such as digital asset risk, artificial intelligence governance in finance, climate financial risks, and recent systemic market stresses.

Empirical Quartile Permutations: Passing vs Failing Combinations

Because GARP does not publish individual candidates' raw marks, empirical analysis of verified candidate score profiles reveals reliable patterns regarding which quartile combinations pass and which fall short of the threshold.

Part I Permutation Diagnostic Matrix

Evaluating Part I combinations based on the order [Foundations (20%), Quants (20%), Markets & Products (30%), Valuation & Models (30%)] demonstrates how topic weights sway outcomes:

Permutation 1-1-2-2 (Clear Pass): Dominating the quantitative and foundational components while securing above-median marks in the heavy 30% modules comfortably clears the global threshold, typically putting the candidate well within the top 20% of aggregate scorers.
Permutation 2-2-2-2 (Consistent Pass): Solid above-average execution across all sections satisfies GARP's composite benchmark, proving that exceptional performance in any single domain is not strictly required.
Permutation 1-1-4-2 (Borderline / High-Risk Fail): Despite securing top-tier rankings in both 20% domains, collapsing to Quartile 4 in Financial Markets and Products creates a heavy drag on total raw points. If the Q4 sits at the lower end of the percentile band, this profile results in a 'Did Not Pass'.
Permutation 3-3-2-1 (Borderline Pass): Weakness in Foundations and Quants is offset by commanding mastery in the two 30% papers (Markets & Products, Valuation & Models), accumulating sufficient absolute points to clear the aggregate cutoff.
Permutation 2-3-4-3 (Definite Fail): Below-median performance in three out of four modules, combined with bottom-quartile ranking in a 30% core topic, places the composite score below the required global percentiles.

Part II Permutation Diagnostic Matrix

Evaluating Part II combinations based on the sequence [Market (20%), Credit (20%), Operational (20%), Liquidity (15%), Investment (15%), Current Issues (10%)] shows similar dynamics across a broader syllabus:

Permutation 1-2-2-1-2-3 (Strong Pass): Superior execution across core Pillar 1 risk disciplines (Market, Credit, Operational) absorbs mid-tier performance in lower-weighted modules like Current Issues.
Permutation 2-2-3-3-2-2 (Safe Pass): Consistent performance clustered around the median, with above-median marks in the primary 20% modules, routinely yields a passing result.
Permutation 4-1-1-3-4-2 (Borderline Fail/Pass): Extreme volatility across papers. If the Quartile 4 in Market Risk is deeply deficient, even strong Credit and Operational scores may not compensate, highlighting the danger of skipping specific domains during revision.

For candidates navigating multiple qualifications, exploring our articles on professional exam preparation offers clear cross-credential context for how GARP benchmarks compare with other quantitative finance exams.

Strategic Diagnostic-to-Retake Plan for Working Professionals

Balancing rigorous study with demanding corporate schedules—such as managing compliance deadlines or middle-office risk monitoring at international banks in Quarry Bay or Central—requires immediate, evidence-based triage if you receive a 'Did Not Pass'. Rather than re-reading thousands of pages of core readings, implement a structured 8-week diagnostic recovery sprint.

Weeks 1–2: Deconstruct the Quartile Profile

Audit your specific quartile outcome against topic weightings. If you sat Part I and earned Q4 in Quantitative Analysis, pinpoint whether the deficit stemmed from statistical mechanics (hypothesis testing, copulas) or mathematical time constraints. If you scored Q3 or Q4 in Operational Risk in Part II, your revision must concentrate on regulatory capital formulas under Basel III/IV and loss calculation algorithms rather than superficial qualitative overviews.

Weeks 3–5: Target High-Yield Weaknesses with Active Recall

Rereading passive study notes yields diminishing returns for quantitative credentials. Instead, leverage AI-powered practice on Thinka to drill scenario-based problem sets targeted precisely at your lowest-performing quartile modules. Utilizing an active retrieval methodology surfaces underlying knowledge gaps in derivative pricing formulas, counterparty credit adjustments, or VaR mapping faster than static mock exams.

Weeks 6–7: Timed Exam-Conditions Simulation

One primary driver of Q4 results in Part I's Valuation and Risk Models is fatigue: candidates spend disproportionate time on complex Quants computations early in the paper, leaving insufficient time for option valuation calculations at the end. Complete at least three full-length, timed 4-hour simulations (Part I: 100 questions; Part II: 80 questions) to calibrate pacing to 2.4 minutes per question for Part I and 3 minutes per question for Part II.

Week 8: Formula Consolidation and Mock Calibration

Commit the final week before your next exam window to consolidating formulas: Duration, Convexity, Black-Scholes Greeks, Marginal VaR, Component VaR, and CreditMetrics frameworks. Ensure your mock scores consistently hit 70% or higher across reputable item sets, which empirically correlates with clearing Q1 and Q2 performance across all core domains.

Advancing Your Risk Career in Regional Financial Hubs

Whether your goal is advancing within risk consulting, joining an asset manager, or transitioning between institutional banking desks, the FRM designation remains a globally respected standard of technical rigor. To explore structured revision pathways and discover how personalized study support through Thinka can accelerate your preparation across finance and risk certifications, map your study schedule systematically and turn your score report diagnostic into an unconditional pass in the upcoming window.