Abstract

The measurement and management of operational risk has become an increasingly important issue as a result of the new capital requirement for operational risk implemented in the New Basel Capital Accord (Basel II). We deal with asymptotic results for operational risk quantified with a spectral risk measure for a single cell as the confidence level converges to 100%. Following the work of Böcker and Klüppelberg and Biagini and Ulmer in their papers of 2010 and 2009, respectively, we also extend the related results to multivariate case, where the dependence structure between different cells is characterized by a Lévy copula. We derive first-order asymptotic results for the operational spectral risk measure in various dependence scenarios. The asymptotic results documented in this study may give further insights into the quantification of operational risk, and may be of interest to managers, policy makers and scholars.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.