The Quantitative Modeling of Operational Risk: Between G-and-H and EVT

Volume: 37, Issue: 2, Pages: 265 - 291
Published: Nov 1, 2007
Abstract
Operational risk has become an important risk component in the banking and insurance world. The availability of (few) reasonable data sets has given some authors the opportunity to analyze operational risk data and to propose different models for quantification. As proposed in Dutta and Perry [12], the parametric g-and-h distribution has recently emerged as an interesting candidate. In our paper, we discuss some fundamental properties of the...
Paper Details
Title
The Quantitative Modeling of Operational Risk: Between G-and-H and EVT
Published Date
Nov 1, 2007
Volume
37
Issue
2
Pages
265 - 291
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