CORES Loss Data Collection & Analysis 4 — Questions and Answers
Question 1: Which external loss database consortium is most widely used by large financial institutions for benchmarking operational risk losses globally?
- FDIC Call Report Database
- Operational Riskdata eXchange (ORX) (Correct answer)
- Risk Management Association (RMA) database
- FFIEC Loss Data Consortium
Correct answer: Operational Riskdata eXchange (ORX)
ORX is the largest operational risk loss data-sharing consortium, providing anonymized industry loss data used for benchmarking and tail-risk estimation.
Question 2: When scaling external loss data to fit an institution's risk profile, which size proxy is most commonly used?
- Number of employees
- Gross income (Correct answer)
- Total regulatory capital
- Number of transactions processed
Correct answer: Gross income
Gross income is the standard scaling factor for adjusting external loss data, aligning with the Basel Standardized Approach's use of gross income as a risk proxy.
Question 3: A risk manager notices that loss events in the 'Execution, Delivery & Process Management' category consistently spike in January. What is the most operationally reasonable explanation?
- Increased fraud attempts at year-start
- Year-end processing errors identified and recorded in the new year (Correct answer)
- Higher client transaction volumes due to tax season
- New employee onboarding errors in Q1
Correct answer: Year-end processing errors identified and recorded in the new year
Year-end operational errors in reconciliation, settlement, or reporting are frequently discovered and booked in January, creating an apparent spike.
Question 4: Which approach involves estimating losses from scenarios that have not yet occurred, supplementing historical internal and external loss data?
- Stress testing
- Scenario analysis (Correct answer)
- Reverse stress testing
- Monte Carlo simulation
Correct answer: Scenario analysis
Scenario analysis uses expert judgment to estimate plausible but unobserved loss events, filling gaps where historical data is absent.
Question 5: Under the Basel III Standardized Approach for operational risk (SA), which loss component most directly replaces the need for a detailed internal loss database for regulatory capital?
- The Loss Component (LC) based on 10-year average losses
- The Business Indicator Component (BIC)
- The Internal Loss Multiplier (ILM) (Correct answer)
- The Expected Loss (EL) deduction
Correct answer: The Internal Loss Multiplier (ILM)
The Internal Loss Multiplier adjusts the BIC upward or downward based on a firm's historical loss experience, directly linking the loss database to regulatory capital.
Question 6: What is a 'multiple-date loss event' and how should it be recorded in a loss database?
- A loss that affects multiple subsidiaries, recorded once per entity
- A single root cause generating losses across several dates, recorded as one event with the earliest discovery date (Correct answer)
- A loss reported on different dates by different business lines, averaged for recording
- A loss that occurs annually, recorded once per calendar year
Correct answer: A single root cause generating losses across several dates, recorded as one event with the earliest discovery date
When one root cause (e.g., a system flaw) generates losses on multiple dates, best practice treats it as a single event recorded at first discovery to avoid inflation of event counts.
Question 7: Which data element in a loss database is MOST useful for identifying whether a loss event resulted from a control failure versus an inherent process flaw?
- Gross loss amount
- Basel II event type
- Root cause classification (Correct answer)
- Recovery source
Correct answer: Root cause classification
Root cause classification distinguishes whether the loss occurred because a control was absent, failed, or bypassed versus because the process itself is inherently risky.
CORES Loss Data Collection & Analysis 4
Which external loss database consortium is most widely used by large financial institutions for benchmarking operational risk losses globally?