Sensitivity analysis tests how an investment's outcome changes when key assumptions move, identifying which variables matter most and how much risk each…
Sensitivity analysis tests how an investment's outcome changes when key assumptions move, identifying which variables matter most and how much risk each carries.
Model three scenarios rather than one: expected, pessimistic, and stress. Move one variable at a time to see which the outcome is most sensitive to — then move several together, because in a downturn they tend to move together.
Correlated risks are the real danger. Rates rising, values falling and vacancy increasing are not independent events — they tend to arrive at once. A model testing each in isolation understates the risk substantially.
The capital growth assumption does the most work and deserves the most scepticism. A model that only works at 6% annual growth is a bet on growth, not an investment analysis.
Last reviewed: 1 August 2026 · General information only, not financial advice.
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