Operational risk modeled analytically II: the consequences of classification invariance

Vivien Brunel

Papers from arXiv.org

Abstract: Most of the banks' operational risk internal models are based on loss pooling in risk and business line categories. The parameters and outputs of operational risk models are sensitive to the pooling of the data and the choice of the risk classification. In a simple model, we establish the link between the number of risk cells and the model parameters by requiring invariance of the bank's loss distribution upon a change in classification. We provide details on the impact of this requirement on the domain of attraction of the loss distribution, on diversification effects and on cell risk correlations.

Date: 2015-04, Revised 2015-05
New Economics Papers: this item is included in nep-ban and nep-rmg
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/1504.07805 Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1504.07805

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().