A Simple Approach to Combining Internal and External Operational Loss Data
Pavel Okunev ()
Finance from University Library of Munich, Germany
Abstract:
We propose a simple approach to combining internal and external loss data in the case when internal and external data come from the same distribution. We assume that the internal data is uncensored but the external data includes only losses above a known threshold. This approach is an alternative to the method of Baud et al. \cite{BA1}, when the latter is too computationally expensive due to the large quantity of data available.
Keywords: operational risk; basel accords; combining internal and external data; stratified sampling; weighted average (search for similar items in EconPapers)
JEL-codes: G (search for similar items in EconPapers)
Date: 2005-08-29
New Economics Papers: this item is included in nep-ict
Note: Type of Document - pdf
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://econwpa.ub.uni-muenchen.de/econ-wp/fin/papers/0508/0508013.pdf (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:wpa:wuwpfi:0508013
Access Statistics for this paper
More papers in Finance from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ( this e-mail address is bad, please contact ).