Contingency Determination Using Expected Value
A beginner's guide to the expected value method for contingency — add up each risk's probability times its cost impact, and the sum is a defensible, risk-based contingency. Built on AACE International RP 44R-08.
What the expected value method is
This is the EMV concept from Foundations (Lesson 71R-12), scaled up from one decision to a whole register of risks. Each line in the register already has the two numbers you need — a probability and an impact (you assigned them in the risk assessment, Lesson 62R-11). The expected value method simply says: the contingency you need is the sum of what each risk is "worth" on average.
The formula
Contingency = Σ ( Pi × Impacti )
over every risk i in the register · P = probability, Impact = cost if it occurs
That's the whole method. For three risks — a 30% chance of a $200k impact, a 60% chance of $100k, and a 20% chance of $500k — the contingency is:
(0.30 × $200k) + (0.60 × $100k) + (0.20 × $500k)
= $60k + $60k + $100k = $220k
Expected-value contingency calculator
Three risks from a register. Adjust each one's probability and impact — the expected value of each, and the contingency total, update live:
Expected-value contingency
Try it yourselfEach risk's expected value = probability × cost impact. Sum the EVs for a first-cut contingency.
Using the expected value method well
Start from a complete, deduplicated risk register (the QA/QC of Lesson 77R-15 matters here — missing risks understate contingency, double-counted ones overstate it). Use credible probabilities and impacts, not optimistic ones. Present the result as a mean-level contingency, and be clear that it doesn't carry a stated confidence level. For larger projects, treat it as the transparent baseline that a Monte Carlo model (Module 5C) can then refine.
Nine things to remember
- Expected value contingency = Σ (probability × impact) over all risks.
- It's the EMV idea from Foundations applied across a whole register.
- Each risk's EV is the right amount to reserve — even though you'll spend $X or $0.
- Worked example: $60k + $60k + $100k = $220k contingency.
- It gives the mean (~50%) — not a stated confidence level.
- It ignores correlation and impact shape — Monte Carlo handles those.
- A few big-but-unlikely risks can dominate the contingency.
- Garbage in, garbage out — needs a complete register and credible inputs.
- It's the transparent gateway from qualitative to quantitative risk.
Glossary
- Confidence level
- Probability the budget holds — not given by EV.
- Correlation
- Risks that move together — EV ignores it.
- Expected value (EV)
- Probability × impact for one risk.
- Expected value method
- Summing EVs to size contingency.
- Impact
- The cost if the risk occurs.
- Mean
- The average outcome (~50% confidence).
- Probability
- The chance the risk occurs.
- Risk register
- The list of risks with P and impact.