Midlands State University Library

Causal analysis of operational risk for deriving effective key risk indicators/ (Record no. 167637)

MARC details
000 -LEADER
fixed length control field 02388nam a22002657a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241009140258.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241009b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 17528887
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD61.J687 JOU
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Andersen, Lasse B.
Relator term author
245 10 - TITLE STATEMENT
Title Causal analysis of operational risk for deriving effective key risk indicators/
Statement of responsibility, etc. created by Lasse B. Andersen, David Häger and Hilde B. Vormeland
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture London :
Name of producer, publisher, distributor, manufacturer Henry Stewart Publication,
Date of production, publication, distribution, manufacture, or copyright notice 2016.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Journal of risk management in financial institutions
Volume/sequential designation Volume 9, number 3
520 3# - SUMMARY, ETC.
Summary, etc. Key risk indicators (KRIs) are intended to track operational risk exposure and provide early indications of potential severe losses. Guidance on establishing the most effective KRIs for financial institutions is, however, limited and, as a result, KRIs are typically derived from an institution’s available metrics, often leading institutions to compensate for a lack of effective KRIs by increasing the number of KRIs monitored. Strengthening the ability to identify and evaluate KRIs’ effectiveness could increase the value of each KRI, further reducing the number of KRIs necessary and increasing the overall value of institutions’ KRI framework. This paper proposes a theoretical foundation and method for identifying and evaluating effective KRIs. The proposed solution originates from research on causal analysis of operational risk, particularly using Bayesian networks. It was found that high-frequency and tail events can be related to a shared set of causes which can be exploited for the identification and evaluation of two categories of KRIs: (1) shared causes that constitute major risk drivers; and (2) high-frequency events providing a strong indication of changes in exposure to low-frequency, high-severity events. Applying the suggested method, financial institutions can map and evaluate current and potential KRIs, ensuring reliable monitoring of the operational risk exposure level.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bayesian networks
Form subdivision Causal modelling
General subdivision Key risk indicators
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Häger, David
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vormeland, Hilde B.
Relator term co author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.69554/UDPX5085
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 17/01/2016 Vol. 9, no.3 (pages 289-304)   HD61.J687 JOU 09/10/2024 09/10/2024 Journal Article For in house use only