managing-interest-rate-risk-banking
Structures bank interest rate risk analysis with EVE, NII sensitivity, and gap analysis. Use when managing bank IRR, modeling NII sensitivity, or analyzing repricing gaps.
Best use case
managing-interest-rate-risk-banking is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures bank interest rate risk analysis with EVE, NII sensitivity, and gap analysis. Use when managing bank IRR, modeling NII sensitivity, or analyzing repricing gaps.
Teams using managing-interest-rate-risk-banking should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/managing-interest-rate-risk-banking/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How managing-interest-rate-risk-banking Compares
| Feature / Agent | managing-interest-rate-risk-banking | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Structures bank interest rate risk analysis with EVE, NII sensitivity, and gap analysis. Use when managing bank IRR, modeling NII sensitivity, or analyzing repricing gaps.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Managing Interest Rate Risk Banking Structures bank interest rate risk analysis combining Economic Value of Equity (EVE), Net Interest Income (NII) sensitivity, and repricing gap analysis to support ALCO decision-making and regulatory compliance. ## When To Use - Preparing ALCO packages with rate-sensitivity metrics for board or committee review - Running scenario analysis for parallel and non-parallel yield curve shifts (e.g., +/- 100, 200, 300 bps) - Assessing repricing mismatches across the balance sheet by time bucket - Responding to regulatory examination findings on IRR management [VERIFY: OCC/FDIC/Fed guidance applicable to charter type] - Evaluating hedging strategies (swaps, caps, floors) against the bank's risk appetite statement - Modeling NII impact of loan/deposit mix changes, new product launches, or M&A integration ## Inputs To Gather - **Balance sheet data**: Current outstanding balances by product, with contractual maturity and repricing dates - **Rate assumptions**: Current market rates, forward curve, and management's rate outlook scenarios - **Prepayment models**: CPR/PSA assumptions for mortgage and amortizing loan portfolios [VERIFY: model vendor and last validation date] - **Non-maturity deposit (NMD) assumptions**: Decay rates, beta coefficients, and repricing lags for DDAs, savings, and MMDAs - **Risk appetite statement**: Board-approved EVE and NII limits (e.g., EVE decline ≤ 15% for +200 bps shock; NII decline ≤ 10% for same) - **Hedging positions**: Notional amounts, terms, and mark-to-market on existing derivative positions - **Prior period results**: Previous quarter's IRR metrics for trend comparison ## Workflow 1. **Compile repricing gap schedule** - Bucket all rate-sensitive assets (RSA) and rate-sensitive liabilities (RSL) into time bands: overnight, 1-30 days, 31-90 days, 91-180 days, 181-365 days, 1-3 years, 3-5 years, 5+ years - Calculate cumulative gap and gap-to-assets ratio per bucket - Flag any bucket where cumulative gap exceeds policy limits 2. **Run NII sensitivity analysis** - Model NII under base case, rising-rate, and falling-rate scenarios (minimum: +/- 100, 200, 300 bps parallel shifts) - Incorporate non-parallel scenarios: flattening, steepening, and inversion of the yield curve - Apply NMD beta assumptions and repricing lags — document the source and last validation of each assumption - Calculate dollar and percentage change in NII versus base for each scenario - Compare results against board-approved NII-at-risk limits 3. **Perform EVE analysis** - Discount all asset and liability cash flows at current rates to establish base EVE - Re-discount under each shock scenario to compute stressed EVE - Calculate EVE change as a percentage of base EVE and as a percentage of total assets - Identify which asset/liability categories contribute most to EVE sensitivity (duration attribution) 4. **Assess hedging effectiveness** - Evaluate existing derivatives: notional coverage ratio, remaining tenor, counterparty exposure - Test whether hedge positions offset the identified gap or NII exposure - Model incremental hedging strategies if current positions leave residual risk outside appetite 5. **Prepare ALCO management report** - Summarize gap, NII, and EVE results in a dashboard format with traffic-light indicators against limits - Highlight breaches or near-breaches of any risk appetite threshold - Include trend analysis comparing current quarter to prior quarters - Recommend specific actions: balance sheet repositioning, hedging adjustments, deposit pricing changes, or limit modifications ## Output The deliverable is an **Interest Rate Risk Management Report** containing: - **Executive summary**: Key metrics, limit utilization, and recommended actions - **Repricing gap table**: Time-bucketed RSA, RSL, periodic gap, cumulative gap, and gap ratios - **NII sensitivity table**: Dollar and percentage NII change across all scenarios, with limit comparison - **EVE sensitivity table**: Base EVE, stressed EVE, and percentage decline per scenario - **Duration and convexity summary**: Effective duration of assets, liabilities, and equity - **Hedge position summary**: Current derivatives with notional, fair value, and maturity profile - **Action items**: Numbered recommendations with owners and target dates for ALCO follow-up ## Quality Checks - Verify that total assets and liabilities in the gap schedule reconcile to the general ledger within an acceptable tolerance (typically < 1%) - Confirm NMD assumptions (decay rates, betas) were reviewed and validated within the past 12 months [VERIFY: institution's model validation policy and cycle] - Ensure all scenarios required by the institution's IRR policy are included — check against the board-approved policy document - Validate that prepayment speed assumptions reflect current market conditions, not stale defaults - Cross-check EVE results against any third-party vendor model output (e.g., QRM, ZM Financial, Empyrean) for reasonableness [VERIFY: vendor in use] - Confirm derivative positions tie to trade confirmations and counterparty statements - Review that the report complies with applicable regulatory guidance: Interagency Advisory on Interest Rate Risk Management (2010), OCC Bulletin 2010-1, and FDIC FIL-2-2010 [VERIFY: current guidance updates and institution's primary regulator]
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