Understanding FRM Pass Rates 2026: Part I vs Part II Historical Benchmarks

When planning your sitting schedule, evaluating official frm pass rates 2026 is essential for setting realistic revision benchmarks and pacing your preparation. Over the past decade of Global Association of Risk Professionals (GARP) computer-based testing cycles, Part I pass rates have consistently fluctuated between 45% and 50%, while Part II yields higher outcomes, consistently settling in the 55% to 60% range.

For finance and risk practitioners in Hong Kong—spanning quantitative desks in Central to internal audit and compliance teams in Kowloon—this structural divergence between Part I and Part II is often misunderstood. Part II’s higher passing percentage is not an indicator of a lighter curriculum; rather, it reflects a pronounced survivorship bias. Only candidates who have successfully cleared the grueling quantitative hurdles of Part I reach the second stage, creating a self-selected, highly disciplined candidate pool. Understanding how GARP evaluates these cohorts across the May, August, and November windows is the first step toward securing passing quartiles on your first attempt.

Historical Window Benchmarks: May, August, and November Dynamics

GARP administers the Financial Risk Manager exams across three distinct computer-based testing windows each year. While the underlying syllabus remains anchored across all sittings in a calendar year, subtle cohort variances emerge between test windows.

1. The May Window

The May sitting traditionally attracts the largest registration volume in Hong Kong. Test-takers range from master's students at HKU, HKUST, and CUHK to junior analysts completing investment bank graduate rotational programmes. Pass rates in May closely track the historical medians (Part I around 46–48%, Part II around 57%). Candidates face standard pacing pressure, but performance variance is wide due to differing baseline levels of market experience.

2. The August Window

Introduced to provide greater calendar flexibility, the August window generally sees smaller cohort sizes. In regional financial hubs, this sitting frequently captures retakers from the previous November or candidates seeking an accelerated pathway to complete both levels within the same calendar year. Pass rates here occasionally see marginal fluctuations of 1% to 2%, largely driven by candidate preparation distribution rather than exam difficulty shifts.

3. The November Window

The November administration is historically heavily populated by seasoned financial risk analysts, treasury teams, and credit officers. In Hong Kong, this period directly coincides with financial year-end prep, quarterly reporting cycles, and regulatory stress testing obligations under the Hong Kong Monetary Authority (HKMA) Supervisory Policy Manual modules. Despite the compressed study schedules of working professionals, November pass rates routinely match or slightly outperform May for Part II, reflecting the practical, scenario-based strengths of senior practitioners.

Decoding the GARP Scoring System: Hidden Passing Scores and Relative Curves

Unlike certifications such as the PMP—which uses performance bands against established criterion domains—or traditional academic tests with explicit percentage cutoffs, GARP does not publish an official numerical minimum passing score (MPS). Candidates never receive a raw percentage mark or an aggregate point score.

Instead, GARP employs a relative performance standard. The passing threshold is determined dynamically: the passing score is formulated as a percentage of the top-performing candidates' scores in that specific exam window, typically pegged against the average of the top 5% of test-takers minus a calibrated distribution metric:

ext{Passing Cutoff} hickapprox ext{Mean}( ext{Top } 5 ext{th Percentile Score}) - k imes ext{StdDev}

Because raw exam papers feature minor variations in item difficulty across Prometric testing dates, psychometric equating ensures that candidates sitting an ostensibly more demanding paper are not disadvantaged. Rather than fighting an absolute hurdle of 70%, your goal is to stay securely within the competitive distribution of that window's global cohort.

Quartile Mechanics: How to Read Your Diagnostic Results

When results drop approximately six to eight weeks after a testing window closes, your result letter simply states 'Pass' or 'Fail', accompanied by a numerical quartile breakdown for each syllabus topic. A '1' indicates top-quartile performance (top 25%), while a '4' indicates bottom-quartile performance (bottom 25%).

Part I Topic Allocations and Scoring Weights:

Part I comprises 100 equal-weighted multiple-choice questions administered over a 4-hour testing block:

Foundations of Risk Management (20%): Tests corporate governance, credit crisis case studies, and enterprise risk management framework logic.
Quantitative Analysis (20%): Probability distributions, hypothesis testing, linear regression, time series forecasting, and simulation techniques.
Financial Markets and Products (30%): Futures, options, swaps, sovereign bonds, and exotic derivatives.
Valuation and Risk Models (30%): Value at Risk (VaR), expected shortfall, option Greeks, stress testing, and credit ratings transition matrices.

Pass/Fail Quartile Combinations

While GARP does not enforce a strict hard failure on single sub-topics, cumulative weighting dictates outcome permutations. Understanding these combinations is critical when monitoring your readiness on an AI-Powered Practice Platform:

Definite Pass profiles: (1, 1, 1, 1), (1, 1, 2, 2), (1, 2, 2, 2), or (1, 1, 1, 3). Strong command across heavy weights (Markets & Products, Valuation & Risk Models) offsets a lower mark in Foundations.
Borderline profiles: (2, 2, 3, 3) or (1, 2, 2, 4). A bottom quartile in a 30% topic creates severe arithmetic drag on your overall relative score, frequently converting an otherwise decent performance into a marginal fail.
Definite Fail profiles: (3, 3, 3, 3), (2, 3, 4, 4), or any combination where three or more sections fall into the bottom half of the cohort.

Part I vs Part II: Why Strategy Must Shift

Candidates transitioning from Part I to Part II often miscalculate the shift in cognitive demands, relying too heavily on calculator drills rather than holistic risk interpretation.

Part I is fundamentally computational. A candidate who masters formulaic execution on their Texas Instruments BA II Plus or HP 12c—calculating bond duration, estimating VaR using parametric approaches, or executing Black-Scholes pricing—can move through the paper mechanically.

Part II (80 questions in 4 hours) broadens into systemic and qualitative evaluation. Across Market Risk Measurement (20%), Credit Risk (20%), Operational and Resilience Risk (20%), Liquidity Risk (15%), Investment Management (15%), and Current Issues in Financial Markets (10%), questions are scenario-driven. You must identify subtle governance flaws, interpret complex Basel capital adequacy frameworks, evaluate climate-related financial risk disclosures, and judge counterparty credit risk netting agreements. In Part II, rote memorisation yields poor quartile results; contextual understanding of market stress dynamics is mandatory.

Diagnostic Mock Benchmarking: Moving Beyond Guesswork

Because official pass rates linger near 45–50% for Part I, passive reading of preparation manuals produces disappointing outcomes. Successful candidates calibrate their preparation through targeted diagnostics.

To build a safe buffer against the relative grading curve, benchmark your revision against these parameters:

1. First-Run Full Mock Target: Aim for a raw score of 62% to 65% on initial unassisted 4-hour practice exams. In raw-score terms, this usually correlates with upper-half cohort placement.
2. Calibrated Exam-Ready Target: Prior to entering the test centre, consistently hit 70% or higher on fresh, unseen diagnostic item sets. This creates a cushion against unexpected exam-day cognitive fatigue.
3. Speed and Timing Allocation: For Part I, budget precisely 2.4 minutes per item. For Part II, budget 3.0 minutes per vignette scenario. If a quantitative calculation stalls at the 90-second mark, flag it, make an informed guess, and preserve time for lower-hanging qualitative questions.

Rather than working through hundreds of static questions without insight, modern preparation leverages adaptive tools. You can explore how smart diagnostics pinpoint topic deficiencies by seeing how Thinka uses AI-powered practice to prepare for exams, mapping your mock performances against realistic domain quartiles in real time.

Action Plan for Hong Kong Risk Professionals

Navigating the rigorous 2026 FRM cycle while managing high-intensity career responsibilities across Hong Kong's financial sector requires structured discipline:

Lock your exam date early: Secure morning seats at test centres early in the registration cycle. Morning cognitive stamina is critical for processing 100 quantitative questions without fatigue.
Prioritise high-weight topics first: In Part I, Financial Markets & Products and Valuation & Risk Models account for 60% of the entire exam paper. Master these core modules before spending disproportionate hours on complex time-series nuances.
Treat Current Issues as an easy win: For Part II, Current Issues (10%) draws directly from published white papers and regulatory directives. Thorough review of these papers offers rapid, low-friction marks.
Review broader credentials strategically: For those evaluating career enhancements across audit, risk, or technical project delivery, compare your pathway with more articles on professional exam preparation to determine optimal certification sequences.

By grounding your preparation in the reality of historical pass rate trends and quartile mechanics, you convert an unpredictable relative curve into a systematic, clear target.