What are the three components of the Business Indicator (BI), and how do absolute value adjustments prevent manipulation?

The Business Indicator (BI) is the revenue-based proxy for operational risk exposure in the SMA framework. It aggregates three sub-indicators that capture different dimensions of a bank's operational complexity: intermediation (ILDC), fee-based services (SC), and trading/market activities (FC). The formula uses absolute values and max functions specifically to prevent banks from reducing their BI through offsetting positions.\n\nBI = ILDC + SC + FC (3-year average)\n\nComponent Breakdown:\n\n| Component | Formula | Anti-Gaming Mechanism |\n|---|---|---|\n| ILDC | abs(Interest Income - Interest Expense) + Dividend Income | Absolute value prevents netting funded vs. unfunded intermediation |\n| SC | max(Fee Income, Fee Expense) + max(Other Op Income, Other Op Expense) | Max function captures the larger flow direction |\n| FC | abs(Net P&L Trading Book) + abs(Net P&L Banking Book) | Absolute value captures activity regardless of profitability |\n\n`mermaid\ngraph TD\n A[\"Business Indicator (BI)\"] --> B[\"ILDC
Interest, Lease, Dividend Component\"]\n A --> C[\"SC
Services Component\"]\n A --> D[\"FC
Financial Component\"]\n B --> E[\"abs(Int Income - Int Expense)
+ Dividend Income\"]\n C --> F[\"max(Fee Inc, Fee Exp)
+ max(Other Op Inc, Other Op Exp)\"]\n D --> G[\"abs(Trading P&L)
+ abs(Banking Book P&L)\"]\n E --> H[\"Captures scale of
intermediation business\"]\n F --> I[\"Captures scale of
fee-generating activity\"]\n G --> J[\"Captures scale of
market-facing activity\"]\n`\n\nWorked Example -- Hartwell Bank Group:\n\n3-year average financials (EUR millions):\n\n| Line Item | Year 1 | Year 2 | Year 3 | 3Y Avg |\n|---|---|---|---|---|\n| Interest Income | 6,800 | 7,200 | 7,500 | 7,167 |\n| Interest Expense | 4,100 | 4,600 | 5,200 | 4,633 |\n| Dividend Income | 180 | 210 | 195 | 195 |\n| Fee Income | 2,400 | 2,550 | 2,700 | 2,550 |\n| Fee Expense | 980 | 1,050 | 1,100 | 1,043 |\n| Other Op Income | 450 | 380 | 520 | 450 |\n| Other Op Expense | 290 | 310 | 330 | 310 |\n| Trading Book P&L | 620 | -180 | 340 | (see below) |\n| Banking Book P&L | -90 | 150 | -40 | (see below) |\n\nCalculations:\n- ILDC = abs(7,167 - 4,633) + 195 = 2,534 + 195 = 2,729\n- SC = max(2,550, 1,043) + max(450, 310) = 2,550 + 450 = 3,000\n- FC = avg(abs(620) + abs(-180) + abs(340))/3 + avg(abs(-90) + abs(150) + abs(-40))/3 = (620+180+340)/3 + (90+150+40)/3 = 380 + 93 = 473\n\nBI = 2,729 + 3,000 + 473 = EUR 6,202M\n\nWhy Absolute Values Prevent Gaming:\n\nWithout absolute values in the FC, a bank could execute offsetting trades to net its trading P&L to zero, dramatically reducing its BI. A bank with EUR 5 billion in gross trading gains and EUR 5 billion in gross trading losses has enormous operational complexity (and risk) but would show zero net P&L. The absolute value treatment captures the gross activity volume.\n\nSimilarly, the max function in SC prevents a bank from inflating fee expenses to offset fee income. Whether a bank earns EUR 3 billion in fees or pays EUR 3 billion in fees, the operational infrastructure required is comparable.\n\nStudy BI calculation methodology in our FRM Part II materials.