Estimating Potential Future Exposure with VaR-Style Inputs

Summary

The document asks for a practical, data-based walkthrough of potential future exposure (PFE) and points readers to a quantitative finance reference that includes spreadsheet examples. It describes PFE calculation as using inputs similar to those used for value at risk: an expected value, volatility, and a confidence level. It also mentions a Python implementation example, but provides no algorithm, input data, parameter values, or worked calculation of its own.

The material is therefore an introductory pointer rather than a rigorous tutorial. It gives no numerical evidence or detail about how exposures are simulated, aggregated, or reported, and it does not explain how PFE differs from VaR in application. Readers seeking an implementable procedure would need to consult the referenced book materials or example. The brief explanation should not be treated as a complete account of PFE methodology.

Key ideas

• PFE is presented as requiring inputs similar to those used in a VaR calculation.
• The listed inputs are expected value, volatility, and a confidence level.
• The document directs readers to reference material with spreadsheet examples and mentions a Python implementation.
• It does not provide the data or steps needed to reproduce a PFE calculation.

Tags

# Potential Future Exposure (PFE): Is there any Rigorous Walk Through with Data?


# Potential Future Exposure (PFE): Is there any Rigorous Walk Through with Data?












I have searched on the Internet and in several books (including John C. Hull and Jon Gregory) for concrete examples of Potential Future Exposure (PFE), but haven't had any success so far. I would greatly appreciate it if someone can point me to a specific example of PFE calculation from scratch. I am curious to see its input data/parameters and algorithm and how these pieces fit in with each other.

Thank you!

## Answer by AK88 (score 3, accepted)

https://quant.stackexchange.com/a/34510

I think PFE is covered well in Jon Gregory's book. Have a look at his website, he has spreadsheets on how PFE can be calculated. In 2nd Edition its in Chapter 8. If you happen to have the 3rd Edition its in Chapter 7.

Basically, what you need to calculate PFE is almost the same as VaR - expected value ($ \mu $), volatility ($ \sigma $), and confidence level ($ \alpha $).

Implementation example in python.

Informative presentation.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.