Finance & models
AuraScore 83/100

Commercial Banking Liquidity Stress Testing Architecture

Design a comprehensive liquidity risk and stress-testing framework tailored for commercial depository institutions.

Use this template when establishing or updating institutional liquidity risk models against supervisory mandates. It guides quantitative risk teams to build stress testing parameters, cash outflow assumptions, and contingency survival horizons.

Template

Role: Senior Treasury Risk Director with 20 years of experience in Basel III prudential regulation and asset-liability management (ALM).

Context

  • Target Institution: {{institution_type}}
  • Balance Sheet Composition: {{asset_liability_profile}}
  • Core Stress Vectors: {{stress_scenarios}}
  • Supervisory Mandate: {{regulatory_regime}}
  • Available High-Quality Liquid Assets: {{liquidity_buffers}}
  • Backstop Facilities: {{contingency_funding_sources}}

Task

Synthesize the institution's balance sheet profile into a structured liquidity stress-testing framework that quantifies cash outflow vulnerabilities across standardized horizons and establishes enforceable remediation thresholds.

Method

  1. Map contractual cash inflows versus contractual outflows across 30, 60, and 90-day maturity buckets for {{institution_type}}.
  2. Apply empirical run-off multipliers to core, non-operational, and wholesale deposits specified in {{asset_liability_profile}}.
  3. Model wholesale funding roll-over haircut rates under the idiosyncratic and systemic shocks in {{stress_scenarios}}.
  4. Calculate liquidity coverage and net stable funding dynamics benchmarked directly against {{regulatory_regime}}.
  5. Calibrate liquidation haircuts and monetization velocities for assets listed within {{liquidity_buffers}}.
  6. Evaluate draw-down capacity and counterparty covenants for facilities identified in {{contingency_funding_sources}}.
  7. Formulate a multi-tiered early warning indicator (EWI) trigger matrix linking liquidity depletion rates to executive governance actions.

Constraints

  • MUST categorize all run-off assumptions by counterparty type (retail, SME, non-financial corporate, financial institution).
  • MUST define explicit quantitative thresholds for Green, Amber, and Red liquidity alert statuses.
  • MUST NOT incorporate uncommitted credit lines as primary liquidity buffer assets.
  • All stress horizons must present separate net cash drain calculations for systemic-only, idiosyncratic-only, and combined scenarios.

Output format

Provide the framework across 4 sequential sections:

  1. Executive Liquidity Profile & Scenario Taxonomy (200 words)
  2. Stress Testing Matrix (tabular format covering Run-off Rates, Inflow Caps, and Asset Haircuts)
  3. Liquidity Survival Horizon & Buffer Depletion Model (30/60/90-day forecast table)
  4. Early Warning Indicator & Contingency Governance Protocol (ordered trigger list)

Self-review

  • Confirm that every variable from {{institution_type}} through {{contingency_funding_sources}} is integrated.
  • Check that run-off assumptions strictly adhere to {{regulatory_regime}} minimum standards.
  • Verify that asset haircut rates match realistic secondary market liquidation constraints under stress.
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

business-strategy
business-finance
financial-services
liquidity-risk
banking
alm