stress-test-scenario-narratives

name: stress-test-scenario-narratives description: Explain stress test scenarios, assumptions, and results for CCAR/DFAST and internal capital adequacy assessments. Use when drafting scenario narratives, interpreting stress test outputs, preparing board submissions, or documenting capital planning assumptions for supervisory stress testing programs.

metadata: display_name: "Stress Test Scenario Narratives" short_description: "Write CCAR/DFAST stress test scenario narratives for banks" default_prompt: "Summarize my stress test scenario with key findings and next steps" version: "1.0.1" tags: - financial-services

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Stress Test Scenario Narratives

Overview

This skill produces clear, regulator-ready narratives for stress testing programs including CCAR (Comprehensive Capital Analysis and Review), DFAST (Dodd-Frank Act Stress Test), and internal capital adequacy assessment processes (ICAAP). It covers macroeconomic scenario design, loss and revenue projection explanations, capital impact analysis, and post-stress capital ratio interpretation. Output aligns with Federal Reserve SR 15-18 and SR 15-19 capital planning guidance.

When to Use

• Drafting macroeconomic scenario narratives for supervisory and internal stress tests
• Explaining pre-provision net revenue (PPNR) projections under stress
• Interpreting credit loss projections by portfolio segment
• Documenting capital action assumptions and post-stress capital ratios
• Preparing board risk committee materials for capital plan approval
• Responding to supervisory feedback on stress testing methodology
• Supporting mid-cycle stress test analysis and sensitivity testing

Required Inputs

Methodology

Step 1: Describe the Scenario Design

Narrate each scenario's macroeconomic storyline:

Baseline scenario: Reflects consensus economic forecast

• GDP growth trajectory, inflation path, unemployment trend
• Interest rate path (fed funds, 10-year Treasury, mortgage rates)
• Asset price assumptions (equity markets, HPI, CRE price index)
• Source: Federal Reserve supervisory scenarios or internal economics team

Adverse scenario: Moderate recession

• Recession depth and duration (peak-to-trough GDP decline, unemployment peak)
• Asset price declines (peak-to-trough equity market, HPI, CRE)
• Interest rate environment (rate cuts, yield curve shape)
• Key differentiators from severely adverse

Severely adverse scenario: Deep recession with financial market stress

• Severe recession characteristics (comparable historical period)
• Financial market dislocation (credit spread widening, VIX spike, liquidity stress)
• Global dimensions (international GDP, trade, emerging market stress)
• Recovery path and speed

For each scenario, present the key variables in a summary table:

Step 2: Explain Loss Projections

Narrate credit loss projections by portfolio segment:

For each material portfolio segment, document:

1. Model methodology: Model type (regression, transition matrix, vintage, roll-rate)
2. Key loss drivers: Which macro variables are most influential and why
3. Loss projection path: Quarterly loss trajectory (peak quarter, cumulative)
4. Historical comparison: How projected losses compare to actual losses in prior downturns (2008-2009 GFC, 2020 COVID)
5. Conservatism assessment: Where projections may be conservative or optimistic relative to model output

Structure the loss narrative by segment:

Step 3: Explain Revenue Projections (PPNR)

Document pre-provision net revenue projections:

Net interest income (NII):

• Balance sheet assumptions (growth/runoff under stress)
• Rate sensitivity (NII impact per 100bp rate change)
• Funding cost changes under stress (deposit beta, wholesale funding spread)
• Prepayment speed assumptions under different rate environments

Non-interest income:

• Fee income sensitivity to economic conditions and activity levels
• Trading revenue under market stress (P&L impact of market shocks)
• Mortgage banking revenue sensitivity to rate environment
• Wealth management/AUM sensitivity to equity market decline

Non-interest expense:

• Expense flexibility under stress (variable vs. fixed cost base)
• Litigation and remediation cost assumptions
• Severance and restructuring provisions
• Inflation assumptions for compensation and occupancy

Step 4: Calculate Capital Impact

Walk through the capital waterfall from pre-stress to post-stress:

Pre-stress CET1 ratio:                    [X.X%]
  + PPNR (after tax)                      +[X.X%]
  − Provision for credit losses            −[X.X%]
  − Trading and counterparty losses        −[X.X%]
  − AOCI impact (AFS securities losses)   −[X.X%]
  − Capital actions (dividends, buybacks)  −[X.X%]
  + Other adjustments                      +/−[X.X%]
= Post-stress CET1 ratio (minimum):       [X.X%]
  vs. minimum requirement:                 [4.5%]
  Buffer above minimum:                    [X.X%]

Repeat for Tier 1, Total Capital, Leverage, and SLR (if applicable).

Step 5: Interpret Results

Provide executive-level interpretation:

• Adequacy assessment: Do post-stress ratios exceed regulatory minimums with sufficient buffer?
• Binding constraint: Which capital ratio is most constraining under stress?
• Loss drivers: Which portfolio segments contribute most to stress losses?
• Revenue offset: How much loss absorption does PPNR provide?
• Capital action capacity: Can planned dividends and buybacks be sustained under stress?
• Comparison to prior cycle: How do results compare to last year's stress test?
• Sensitivity: What scenario assumptions would cause the binding ratio to breach minimums?

Step 6: Address Supervisory Expectations

Ensure alignment with Federal Reserve guidance:

• SR 15-18: Capital planning and positions expectations
• SR 15-19: Federal Reserve supervisory assessment framework
• Stress capital buffer (SCB) calculation and interaction with planned distributions
• Qualitative assessment elements (governance, risk management, internal controls)
• Sensitivity analysis around key assumptions
• Reverse stress testing: identify scenarios that would breach capital minimums

Step 7: Prepare Governance Documentation

Package the narrative for governance review:

• Board risk committee summary (2-3 page executive summary)
• Management-level detailed report with segment-level analysis
• Model methodology appendix with key assumption tables
• Sensitivity analysis results showing impact of alternative assumptions
• Year-over-year comparison highlighting material changes

Output Specification

# Stress Test Results Narrative: [Cycle Year]

## Scenario Overview
### [Scenario Name]
[2-3 paragraph storyline describing the macroeconomic environment]

### Key Variables
[Summary table of macro variables by scenario]

## Loss Projections
### Portfolio Summary
[Aggregate loss projection table by segment and scenario]

### Segment Analysis
[Detailed narrative for each material segment]

## Revenue Projections
### PPNR Summary
| Component | Baseline | Adverse | Severely Adverse |
|-----------|----------|---------|-------------------|
| NII | [$XM] | [$XM] | [$XM] |
| Non-interest income | [$XM] | [$XM] | [$XM] |
| Non-interest expense | -[$XM] | -[$XM] | -[$XM] |
| **PPNR** | **[$XM]** | **[$XM]** | **[$XM]** |

## Capital Impact
### Capital Waterfall
[Pre-stress to post-stress walkthrough by ratio]

### Post-Stress Capital Ratios
| Ratio | Pre-Stress | Minimum Under Stress | Quarter of Minimum | Regulatory Minimum | Buffer |
|-------|-----------|---------------------|-------------------|-------------------|--------|
| CET1 | [X.X%] | [X.X%] | Q[N] | 4.5% | [X.X%] |

## Key Findings
[Executive interpretation of results]

## Sensitivity Analysis
[Impact of alternative assumptions on key ratios]

Analysis Framework

Scenario Severity Benchmarking

Compare scenario severity against historical events:

• GFC (2007-2009): unemployment peak 10.0%, GDP decline -4.3%, HPI decline -27%
• COVID-19 (2020): unemployment peak 14.7%, GDP decline -9.0% (Q2 annualized), rapid recovery
• Dot-com/9-11 (2001-2002): mild recession, unemployment peak 6.3%, equity market -49%

Reverse Stress Testing

Identify the break point:

• What unemployment rate would cause CET1 to breach the 4.5% minimum?
• What HPI decline would exhaust the CRE portfolio's loss absorption capacity?
• What combination of loss and revenue stress depletes the capital buffer?

Examples

Example 1 — Severely Adverse Scenario Narrative: "The severely adverse scenario contemplates a severe global recession triggered by a sharp correction in commercial real estate markets and tightening financial conditions. US real GDP declines 8.5% peak-to-trough over six quarters, with unemployment rising to 10.8% by Q7. The HPI declines 28% nationally, with CRE price indices falling 40%. The 10-year Treasury falls to 0.8%, compressing NIM, while BBB corporate spreads widen to 550bps. Equity markets decline 55% from peak. Under this scenario, the institution projects 9-quarter cumulative credit losses of $3.8B (cumulative loss rate of 6.2%), with CRE contributing 42% of total losses. PPNR of $2.1B partially offsets losses. Post-stress minimum CET1 ratio of 7.2% (Q6) provides a 270bp buffer above the 4.5% regulatory minimum."

Example 2 — Capital Action Justification: "Under the severely adverse scenario, post-stress CET1 of 7.2% supports the proposed capital plan including $400M in common dividends and $200M in share repurchases. Eliminating the share repurchase would increase post-stress CET1 to 7.5% (+30bps). The stress capital buffer of 2.8% exceeds the 2.5% floor, resulting in a preliminary SCB of 2.8%. The planned payout ratio of 65% is sustainable under all three scenarios."

Guidelines

• Use supervisory scenarios as published by the Federal Reserve; clearly distinguish from internal scenarios
• All projections must state the as-of date of the portfolio data
• Loss rate projections should be expressed as both percentages and dollar amounts
• Always show the quarter of minimum capital ratio, not just the minimum value
• Include AOCI impact for AFS securities portfolios, especially under rising rate scenarios
• Capital actions under stress should reflect the capital plan submitted to the Fed
• Sensitivity analysis must test at least 3 alternative assumptions
• Compare current cycle results to prior cycle to explain material changes
• Document all model overlays and management adjustments with rationale
• Clearly label projections as model outputs subject to uncertainty

Validation Checklist

• All three scenarios (baseline, adverse, severely adverse) are narrated with economic storylines
• Key macro variables are presented in a comparative table
• Loss projections are broken out by material portfolio segment
• Historical loss comparisons provide context for projection reasonableness
• PPNR components (NII, non-interest income, expense) are individually addressed
• Capital waterfall shows the path from pre-stress to post-stress for all required ratios
• Post-stress minimums are shown with quarter of occurrence and buffer above regulatory minimum
• Sensitivity analysis tests alternative assumptions around key drivers
• Year-over-year comparison explains material changes from prior cycle
• Documentation is sufficient for board approval and supervisory review