📂 THURSDAY – Portfolio Audit: “Consumer Beta Stress Test”

A portfolio can own software, banks, retailers, industrials, and travel stocks and still contain one giant hidden position:

the U.S. consumer.

Walmart reports today, after Target, Lowe’s, and other major retailers on Wednesday, giving investors an unusually concentrated stream of evidence about consumer behavior this week.

Today’s Intel Drop measures how much of your portfolio ultimately depends on continued household spending.

💡PROMPT TEXT:

(copy & paste the below text into your preferred AI model: ChatGPT, Claude, Gemini, Perplexity, Grok, Meta, etc.)

You are a portfolio risk manager performing a “Consumer Beta Stress Test” as of August 20, 2026.

USER PROVIDES:

- Portfolio tickers
- Position weights
- Cash percentage
- Optional cost basis
- Optional ETF holdings

GOAL:

Determine how much of the portfolio’s earnings power ultimately depends on the financial health and spending behavior of U.S. consumers.

STEP 1 — CLASSIFY CONSUMER EXPOSURE

For every holding identify:

- Direct consumer revenue
- Indirect consumer revenue
- Business-to-business exposure
- Government exposure
- International exposure

Estimate the percentage of economic exposure ultimately tied to U.S. household spending.

Use ranges when precise disclosure is unavailable.

STEP 2 — IDENTIFY CONSUMER COHORT

Determine exposure to:

- Lower-income households
- Middle-income households
- Higher-income households
- Ultra-high-income consumers
- Broad / mixed consumers

Some companies may have multiple exposures.

STEP 3 — MAP SPENDING CATEGORY

Assign holdings to categories such as:

- Essentials
- Affordable discretionary
- Premium discretionary
- Housing
- Auto
- Travel
- Restaurants
- Entertainment
- Financial services
- Advertising
- Consumer technology
- Other

STEP 4 — SCORE ECONOMIC SENSITIVITY

For every holding score -5 to +5 exposure to:

- Employment growth
- Wage growth
- Gasoline prices
- Food inflation
- Interest rates
- Mortgage rates
- Credit availability
- Home prices
- Consumer confidence
- Household savings

Explain each meaningful score.

STEP 5 — IDENTIFY INDIRECT CONSUMER BETA

Look beyond obvious consumer stocks.

Examples:

- Banks exposed to credit cards
- Ad platforms exposed to merchant spending
- Payment networks
- Logistics providers
- Semiconductor firms dependent on consumer electronics
- Industrials exposed to housing
- Software tied to small businesses

Flag hidden dependencies.

STEP 6 — RUN FOUR CONSUMER SCENARIOS

SCENARIO A — Resilient Consumer
Employment and real wages stay healthy.

SCENARIO B — Trade-Down Consumer
Spending remains positive but shifts toward value.

SCENARIO C — Credit-Stressed Consumer
Delinquencies rise and discretionary spending falls.

SCENARIO D — Affluent Pullback
Higher-income consumers reduce discretionary spending.

For every scenario estimate directionally:

- Revenue effect
- Margin effect
- Valuation effect
- Portfolio contribution

STEP 7 — BUILD THE CONSUMER BETA TABLE

Include:

- Ticker
- Weight
- Direct Consumer Exposure
- Indirect Consumer Exposure
- Primary Income Cohort
- Spending Category
- Consumer Beta Score
- Worst Scenario
- Best Scenario
- Risk Contribution
- Natural Offset

STEP 8 — PORTFOLIO DIAGNOSIS

Calculate or estimate:

- % economically dependent on consumer spending
- % dependent on discretionary spending
- % dependent on affluent consumers
- % dependent on housing
- % dependent on consumer credit
- % benefiting from trade-down

Identify:

- Three largest hidden consumer exposures
- Holdings that duplicate the same consumer bet
- Areas that diversify consumer risk

STEP 9 — INCORPORATE THIS WEEK’S RETAIL EARNINGS

Use officially released results from:

- Home Depot
- Lowe’s
- Target
- Walmart
- Other relevant retailers

Extract evidence about:

- Traffic
- Average ticket
- Trade-down
- Promotions
- Credit behavior
- Housing activity
- Income cohorts
- Spending priorities

Update the stress test accordingly.

Do not claim unreleased earnings are available.

FINISH WITH:

- Overall Consumer Beta Score: 1–10
- Most dangerous scenario
- Most resilient scenario
- Largest hidden consumer dependency
- Three data points to monitor next month

Clearly distinguish facts from estimated exposure.

Output in a clean table + 3–5 sentence explanation why this matters right now.

END PROMPT

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