Issue #8

Stress test your portfolio under 6 scenarios in 10 minutes

The scenario analysis framework that institutional desks use — adapted for 10 minutes and any LLM.

AI Finance Brief 2026-04-22 Free issue

The 10-Minute Portfolio Stress Test


Step 1: Build the Scenario Matrix (3 minutes)


You are a risk analyst at a multi-strategy hedge fund. Here is my current portfolio:

[PASTE YOUR POSITIONS: ticker, weight, sector, long/short]

Build a stress test matrix with 6 scenarios:

SCENARIO 1 - RATE SHOCK: 10Y yield jumps 75bps in 30 days (hawkish Fed surprise)
SCENARIO 2 - CREDIT EVENT: High yield spreads widen 200bps (corporate stress)
SCENARIO 3 - GROWTH SCARE: ISM drops below 48, jobless claims spike (recession fear)
SCENARIO 4 - GEOPOLITICAL: Major supply chain disruption (Taiwan strait, Middle East escalation, trade war)
SCENARIO 5 - MELT-UP: Risk assets rally 10%+ in a quarter (liquidity-driven euphoria)
SCENARIO 6 - VOLATILITY SPIKE: VIX goes from current level to 35+ (systematic de-risking)

For each scenario, estimate the impact on EACH position:
- Expected return (%) under that scenario
- Confidence level (high/medium/low) in your estimate
- Primary transmission mechanism (direct exposure, correlation, second-order effect)

Present this as a clean matrix: positions down the left, scenarios across the top.

Step 2: Identify Concentration Risk (3 minutes)


Looking at the stress test matrix:

1. WORST CASE: Which scenario causes the largest portfolio drawdown? What is the estimated total portfolio loss?
2. CORRELATED LOSSES: In the worst scenario, how many positions lose money simultaneously? (High correlation = your diversification is not working.)
3. HIDDEN EXPOSURE: Which positions have unexpected sensitivity to a scenario? (Example: a "defensive" utility stock that actually has significant rate sensitivity.)
4. TAIL RISK: Is there any scenario where more than 3 positions lose more than 10%? That is a portfolio construction problem.
5. ASYMMETRY: Are the upside scenarios as large as the downside scenarios? If the melt-up gives you +8% but the credit event gives you -15%, your portfolio has negative convexity.
6. UNCORRELATED POSITIONS: Which positions actually help in the worst scenarios? These are your real diversifiers — not the ones you think are uncorrelated but actually are in a crisis.

Step 3: Build the Response Plan (4 minutes)


For the 2 worst scenarios from the analysis above:

HEDGING:
1. What is the single most effective hedge for each scenario? (Specific instrument, not "buy puts.")
2. What would it cost as a percentage of portfolio to hedge 50% of the estimated loss?
3. Is the hedge cost justified by the probability of the scenario?

POSITION ADJUSTMENTS:
4. Which position should I trim FIRST to reduce vulnerability? (The one with the worst risk/reward in the bad scenarios.)
5. Which position should I ADD to improve the portfolio's performance in the worst case? (Something that benefits from the stress event.)
6. What is the minimum set of changes that would reduce my worst-case drawdown by 30%?

TRIPWIRES:
7. For each bad scenario, what is the early warning signal? Give me a specific data point and level.
8. If the signal triggers, what is my pre-committed action? (Deciding in advance > deciding under stress.)



Why Pre-Commitment Matters


The most important output of this workflow is not the scenario matrix. It is the response plan.


When a stress event actually happens, your ability to think clearly drops by about 50%. If you have already decided "if credit spreads hit X, I trim position Y by Z%" then you execute the plan instead of panicking.


Every institutional desk has pre-committed response plans. Now you do too.




The 2-Minute Weekly Update


After the initial 10-minute setup, the weekly update takes 2 minutes:


Here are my updated portfolio positions and this week's macro data:
[PASTE CURRENT POSITIONS + KEY MACRO CHANGES]

How has the stress test matrix changed from last week? Which scenarios became more or less likely? Do any of my tripwires need updating?



What is Coming Next Week


Issue #9: The research synthesis engine — combine 20 analyst reports into one actionable summary in under 10 minutes.




AI Finance Brief is written by a team that runs live algorithmic trading systems daily. Every workflow is tested on real market data before it reaches your inbox.


Free every week. Subscribe at aifinancebrief.com

Get the next issue free

Weekly AI workflows for finance professionals. No fluff, just the prompts and systems that work.

Subscribe at aifinancebrief.com