How is the Loss Component calculated in the SMA framework, and what qualifies as an operational risk loss for inclusion?

The Loss Component (LC) is the internal-loss-data-driven element of the SMA that adjusts capital based on a bank's actual operational risk experience. It is calculated as a multiple of the average annual operational risk losses over a minimum 10-year observation period, using only losses above a specified threshold.\n\nLoss Component Formula:\n\nLC = 7 x Average Annual Op Risk Losses (10 years) + 7 x Average Annual Op Risk Losses above EUR 10M (10 years) + 5 x Average Annual Op Risk Losses above EUR 100M (10 years)\n\nThis three-bucket structure means larger losses receive disproportionately higher weight, reflecting that tail severity matters more than frequency for operational risk.\n\nWorked Example -- Ashford International Bank:\n\n10-year operational loss data (EUR millions):\n\n| Year | Total Losses | Losses > EUR 10M | Losses > EUR 100M |\n|---|---|---|---|\n| 2016 | 42 | 28 | 0 |\n| 2017 | 55 | 35 | 0 |\n| 2018 | 38 | 15 | 0 |\n| 2019 | 310 | 290 | 180 |\n| 2020 | 48 | 22 | 0 |\n| 2021 | 61 | 40 | 0 |\n| 2022 | 44 | 18 | 0 |\n| 2023 | 52 | 30 | 0 |\n| 2024 | 39 | 12 | 0 |\n| 2025 | 47 | 20 | 0 |\n| 10Y Total | 736 | 510 | 180 |\n| Annual Average | 73.6 | 51.0 | 18.0 |\n\nLC = 7 x 73.6 + 7 x 51.0 + 5 x 18.0 = 515.2 + 357.0 + 90.0 = EUR 962.2M\n\n`mermaid\ngraph TD\n A[\"All Op Risk Losses
(above EUR 20K threshold)\"] --> B[\"Bucket 1: Total losses
Weight = 7x\"]\n A --> C[\"Bucket 2: Losses > EUR 10M
Weight = 7x\"]\n A --> D[\"Bucket 3: Losses > EUR 100M
Weight = 5x\"]\n B --> E[\"LC = 7 x Avg_all
+ 7 x Avg_>10M
+ 5 x Avg_>100M\"]\n C --> E\n D --> E\n E --> F[\"Catastrophic single events
dominate for 10 years\"]\n`\n\nThe Catastrophic Loss Problem:\n\nIn Ashford's case, the 2019 event (a EUR 310M rogue trading loss) dominates the Loss Component for a full decade. Without that single year:\n- Annual average total losses would be ~47M (not 73.6M)\n- LC would be approximately 7 x 47 + 7 x 24 + 5 x 0 = 497M\n\nThe 2019 event adds approximately EUR 465M to the Loss Component, translating to roughly EUR 465M x ILM in additional capital, held for 10 years.\n\nQualifying Losses:\n- Minimum threshold: EUR 20,000 (losses below this are excluded)\n- Gross losses before any recoveries (though recoveries net against the same year)\n- Include: litigation settlements, regulatory fines, fraud losses, system failures, execution errors\n- Exclude: credit losses (unless arising from operational events), market losses, strategic losses\n- Timing: losses are dated to the accounting recognition date, not the event date\n\nData Quality Requirements:\n- Banks must maintain a comprehensive, validated loss database\n- External auditor review of loss data is required\n- Losses must be mapped to Basel event type categories\n- Near-miss events should be captured but do not enter the LC calculation\n\nPractice SMA capital calculations in our FRM question bank.