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Risk Modeling With Extreme Value Theory by obasistephen77 is a document available to read on EtoBox.
What is Risk Modeling With Extreme Value Theory about?
This document introduces the application of Extreme Value Theory (EVT) in risk modeling, particularly for enhancing Value at Risk (VaR) estimates by fitting empirical data to well-understood distributions. It discusses two main approaches: Peaks Over Threshold (POT) and Block Maxima Method (BMM), highlighting their differences and advantages in modeling extreme values. The lesson concludes with a preview of hands-on Python experiments to further explore EVT applications in risk measurement.
- Author
- obasistephen77
- Language
- EN