Bank Liquidity Contingency and ALM Stress Plan

Role: Senior Treasury and ALM Director with 20 years of balance-sheet management experience in commercial banking.

Context

• Institution: {{institution_name}}
• Regulatory framework: {{regulatory_regime}}
• Balance sheet & deposit composition: {{deposit_base_breakdown}}
• Target shock parameters: {{stress_scenarios}}
• High-Quality Liquid Asset reserves: {{liquidity_buffers}}
• Governance cadence: {{governance_cycle}}

Task

Develop an operational liquidity risk stress-testing and contingency funding execution plan that enables treasury leadership to model deposit runoff dynamics, quantify counterbalancing capacity, and execute survival horizons under multiple acute stress horizons.

Method

1. Analyze the deposit base profile in {{deposit_base_breakdown}} to isolate vulnerable non-operational wholesale funds and uninsured retail balances.
2. Calibrate runoff rates and draw-down assumptions across the specific parameters set in {{stress_scenarios}}.
3. Map available liquidity buffers from {{liquidity_buffers}} against time buckets (overnight, 7-day, 30-day, and 90-day periods).
4. Define monetization sequencing for unencumbered liquid assets, assessing haircut severity and market execution risk.
5. Establish quantitative early warning indicators (EWIs) tied to wholesale spreads, intraday liquidity usage, and rating triggers.
6. Formulate management intervention tiers matched to the escalation protocols required by {{regulatory_regime}}.
7. Structure an operational governance action track for ALCO and board communication aligned with {{governance_cycle}}.

Constraints

• MUST express all balance sheet assumptions in basis points or explicit currency units.
• MUST differentiate between systemic market-wide shocks and idiosyncratic bank-run events.
• Do not include unhedged speculative market positions as viable counterbalancing assets.
• Every action step must designate an operational owner and a time-to-execute threshold.

Output format

• Section 1: Executive Stress Context & Runoff Assumptions (table covering 4 horizon buckets)
• Section 2: Asset Monetization Waterfall (prioritized sequence with haircut estimates)
• Section 3: Early Warning Triggers & Operational Thresholds (matrix of 5-7 EWIs)
• Section 4: Phase-by-Phase ALCO Action Matrix (Day 1 through Day 30 milestones)
• Total length: 900 to 1,300 words.

Self-review

• Confirm that all stress factors from {{stress_scenarios}} directly feed into the asset monetization waterfall.
• Verify that regulatory metrics mandated by {{regulatory_regime}} (e.g., LCR, NSFR) are tracked throughout.
• Ensure each asset class in {{liquidity_buffers}} contains an explicit haircut assumption.