BusinessMathematicsEconomics

J. Nešlehová, P. Embrechts, V. Chavez‐Demoulin

2006.3.1JOURNAL OF OPERATIONAL RISK

DOI: 10.21314/jop.2006.001

tlooto Summary

In this paper, some issues concerning correlation (or diversification) effects, the use of extreme value theory and the overall quantitative risk management consequences of extremely heavy-tailed data are raised.

Abstract

Due to published statistical analyses of operational risk data, methodological approaches to the AMA modeling of operational risk can be discussed more in detail. In this paper we raise some issues concerning correlation (or diversification) effects, the use of extreme value theory and the overall quantitative risk management consequences of extremely heavy-tailed data. We especially highlight issues around infinite mean models. Besides methodological examples and simulation studies, the paper contains indications for further research.

Citation format

NEŠLEHOVÁ, J.; EMBRECHTS, P.; CHAVEZ‐DEMOULIN, V. Infinite-mean models and the LDA for operational risk. JOURNAL OF OPERATIONAL RISK, 2006, 1: 3–25.