Combining Underreported Internal and External Data for Operational Risk Measurement
Autonomous University of Barcelona, Department of Econometrics, Statistics and Spanish Economy
affiliation not provided to SSRN
Jens Perch Nielsen
City University London - Cass Business School
November 7, 2008
Operational risk data sets have two types of sample selection problems: truncation below a given threshold due to data that are not recorded and random censoring above that level caused by data that are not reported. This paper proposes a model for operational losses that improves the internal loss distribution modelling by combining internal and external operational risk data. It also considers the possibility that internal and external data have been collected with a different truncation threshold. Moreover, the model is able to cope with unreported losses by means of an estimated underreporting function.
Number of Pages in PDF File: 32
Keywords: Operational Risk, Mixing Model, Underreporting
JEL Classification: C14, C15, G32working papers series
Date posted: October 21, 2008 ; Last revised: November 30, 2008
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