Stress Testing and Scenario Analysis
Stress testing asks how a portfolio would fare in extreme but plausible events. Learn historical and hypothetical scenarios and reverse stress tests.
Statistical risk measures like VaR describe normal bad days using recent data. Stress testing asks a different question: what happens to this portfolio in a specific extreme event, such as a repeat of 2008, a sudden rate shock or the failure of a major counterparty? It does not try to assign probabilities. Instead it reveals vulnerabilities that averages hide: concentrated exposures, hidden correlations, liquidity traps and leverage that only bites in a crisis. Regulators require banks to run stress tests, and every serious trader benefits from a simple version. This lesson covers portfolios; Robustness and Stress Testing covers testing strategies.
Types of stress tests#
| Type | Description | Example |
|---|---|---|
| Historical scenario | Replay a past crisis on today's portfolio | 1987 crash, 2008, March 2020 |
| Hypothetical scenario | A plausible event that has not happened exactly | Oil doubles and rates jump 2 points |
| Sensitivity (shock) | Move one factor by a set amount | Stocks minus 20%, volatility up 50% |
| Reverse stress test | Find the scenarios that would cause an unacceptable loss | What would cause a 30% loss? |
Historical scenarios worth testing#
| Event | Key moves (approximate) | Lesson |
|---|---|---|
| Black Monday, October 1987 | US stocks fell about 20% in one day | Black Monday 1987 |
| 2008 financial crisis | Global stocks fell more than 50% peak to trough; credit spreads widened sharply | The 2008 Financial Crisis |
| Swiss franc, January 2015 | The franc jumped about 20% or more against the euro within minutes after the SNB removed its cap | Central Bank Intervention |
| COVID crash, February to March 2020 | US stocks fell about 34% in about five weeks; oil futures briefly went negative in April | The COVID-19 Crash |
| 2022 rates shock | Stocks and bonds fell together as rates rose | Interest Rates |
What stress tests reveal#
- Concentration: most of the loss from one position or factor. See Concentration Risk.
- Correlation breakdown: diversification that disappears. See Correlation Management.
- Liquidity: positions that cannot be exited without huge costs. See Liquidity Risk.
- Margin calls and forced selling. See Margin Financing.
- Non linear exposures: option positions whose losses accelerate. See Gamma.
Running a stress test#
- List the key risk factors: equity markets, rates, credit spreads, currencies, commodities, volatility.
- Define scenarios with moves for each factor.
- Revalue every position under each scenario, including options and leverage.
- Include second order effects: wider spreads, margin increases, correlations rising.
- Compare losses with limits and capital. See Risk, Position, Loss and Drawdown Limits.
- Act: reduce, hedge or accept the risk deliberately.
Regulatory stress testing#
Large banks undergo supervisory stress tests, such as the Federal Reserve's annual stress test in the US and the European Banking Authority's EU wide tests, which assess whether banks hold enough capital to survive severe recessions and market shocks. Results influence dividends and buybacks. See Trading Regulators: SEC, CFTC, FINRA and NFA.
Common mistakes#
- Only using mild scenarios that never threaten the portfolio.
- Ignoring liquidity and margin effects.
- Testing positions in isolation rather than together.
- Running tests and not acting on the results.
- Assuming the next crisis looks like the last one.
Frequently asked questions#
What is stress testing in finance?#
Estimating how a portfolio would perform under extreme but plausible scenarios, such as historical crises or hypothetical shocks.
How is stress testing different from VaR?#
VaR estimates typical bad day losses statistically; stress testing examines specific extreme events without relying on probabilities.
What is a reverse stress test?#
Working backwards from an unacceptable loss to find which scenarios would cause it, revealing hidden vulnerabilities.
Next, learn about the risk that others fail to pay in Market, Credit and Counterparty Risk.
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Mentioned in
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