What it means
Contracts such as currency forwards, interest rate swaps and commodity derivatives start with little or no value, but that value changes as markets move. If the contract becomes valuable to you, the other party owes you money, and you are exposed to the risk that it cannot pay.
PFE estimates how large that exposure could become. Rather than predicting one future, PFE looks at a range of possible market paths and picks a high percentile of the outcomes, commonly 95% or 97.5%.
The result reads as "we are 95% confident the exposure will not exceed this figure". It is therefore a worst-case-style estimate and not an average.
The estimate is built from the size of the contract, how volatile the underlying market is, how long the contract runs and how the payments are structured. Longer contracts have more time for markets to move, so exposure usually builds as time passes and then falls as payments are made and the contract approaches maturity.
Collateral agreements, netting (offsetting amounts owed in both directions) and margin calls can reduce PFE sharply. Banks use PFE to set credit limits for each counterparty and to decide how much capital to hold.
A treasury team might use it to check that the exposure to any one bank stays within policy. It is different from current exposure, which is the contract's value today, and from expected exposure, which is the average of possible future values.
Models differ in complexity. Simple approximations multiply the contract amount by a volatility figure and a confidence factor, while large banks run thousands of simulations.
Whichever method is used, the result depends on assumptions and should be tested against actual market behaviour.
In practice
Real-world examples.
Example
A manufacturer enters a two-year interest rate swap with a bank. The bank calculates PFE to set a credit limit, and it asks the manufacturer to post collateral if the exposure rises above an agreed threshold. The agreement lowers the bank's capital requirement and so reduces the price it charges for the swap.
Example
A commodity trader has several contracts with the same counterparty, some in its favour and some against. By netting them, it reduces the PFE that has to be reported to its risk committee. He also records the peak PFE date for each trade, since exposure often reaches its maximum before maturity.
Example
A corporate treasurer compares exposure to three banks and finds that one of them accounts for 60% of total PFE. She moves some new trades to the other two to stay within policy. The treasurer reports the results to the board, together with the limit and the headroom remaining for each bank.
Formula
Calculation
Simplified PFE = notional amount x volatility x square root of time in years x confidence factor
This is a rough illustration; real models are more detailed. The confidence factor for 95% (one-sided) is about 1.645.
Suppose a company has a one-year currency forward with a notional amount of $10,000,000. Annual volatility of the exchange rate is assumed to be 10%. Then PFE = 10,000,000 x 0.10 x 1 x 1.645 = $1,645,000. In other words, with 95% confidence the company's loss if the bank defaulted at the worst point would not exceed about $1,645,000. Adding a collateral agreement that cut the possible exposure by half would lower PFE to about $822,500.Case study
Seen in the real world.
Meridian Foods is an illustrative, fictional exporter that hedges its currency risk with forward contracts worth $50,000,000 a year. All of the contracts were placed with a single bank because the relationship was long and the pricing was good.
During a review, the treasurer calculated PFE and found it was $8,500,000, far above the internal limit of $5,000,000 for any one counterparty. The bank's credit quality had also weakened.
She split new hedges between three banks and negotiated a collateral agreement with the first. The illustrative lesson is that a hedge removes market risk but creates counterparty risk, and PFE helps to size it. She also set a standing rule that any new hedge must be tested against the limit before it is approved, which turned the calculation from a one-off exercise into a routine control.
Watch out
Common mistakes.
- Confusing PFE with the current market value of a contract, when it estimates what the value might become.
- Treating PFE as a forecast of loss, when it is a high-confidence ceiling on exposure and the actual loss depends on default and recovery.
- Ignoring netting and collateral, which can reduce exposure dramatically.
Questions
People also ask.
What is the difference between PFE and expected exposure?
PFE looks at a high percentile of possible outcomes, whereas expected exposure is the average outcome.
Is PFE the same as value at risk?
No, value at risk measures potential loss on your own portfolio from market moves, while PFE measures how much a counterparty could owe you.
Does PFE also stand for something else?
Yes, PFE is also the stock market ticker for a large pharmaceutical company, so the context tells you which meaning is intended.
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