J. Nešlehová, P. Embrechts, V. Chavez‐Demoulin
2006.3.1JOURNAL OF OPERATIONAL RISK
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.