Operational risk measurement
The main objective of this study is to measure the risk level for operational risk of life insurers operated in Malaysia for the period of 2003 to 2010. The operational problem is the major factor contributed to the company's losses. Due to the operational problems of insurance companies and ba...
Published in: | ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences" |
---|---|
Main Author: | |
Format: | Conference paper |
Language: | English |
Published: |
2012
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872969158&doi=10.1109%2fICSSBE.2012.6396518&partnerID=40&md5=33d9c313e7700a9f967e365924411053 |
id |
Rahim N.Abd.; Tafri F.H. |
---|---|
spelling |
Rahim N.Abd.; Tafri F.H. 2-s2.0-84872969158 Operational risk measurement 2012 ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences" 10.1109/ICSSBE.2012.6396518 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872969158&doi=10.1109%2fICSSBE.2012.6396518&partnerID=40&md5=33d9c313e7700a9f967e365924411053 The main objective of this study is to measure the risk level for operational risk of life insurers operated in Malaysia for the period of 2003 to 2010. The operational problem is the major factor contributed to the company's losses. Due to the operational problems of insurance companies and banks, there is a growing pressure from the regulatory bodies to measure operational risk of these institutions. Volatility is used to measure the level of operational risk and it is used as risk charge to calculate the operational risk capital charge of life insurers. This study found that the volatility of relative revenue is significantly related to operational risk and the risk charge is higher during the crisis period compared to the normal period. Thus, this new risk charge is a better in representing level of operational risk for life insurers in Malaysia. © 2012 IEEE. English Conference paper |
author |
2-s2.0-84872969158 |
spellingShingle |
2-s2.0-84872969158 Operational risk measurement |
author_facet |
2-s2.0-84872969158 |
author_sort |
2-s2.0-84872969158 |
title |
Operational risk measurement |
title_short |
Operational risk measurement |
title_full |
Operational risk measurement |
title_fullStr |
Operational risk measurement |
title_full_unstemmed |
Operational risk measurement |
title_sort |
Operational risk measurement |
publishDate |
2012 |
container_title |
ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences" |
container_volume |
|
container_issue |
|
doi_str_mv |
10.1109/ICSSBE.2012.6396518 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872969158&doi=10.1109%2fICSSBE.2012.6396518&partnerID=40&md5=33d9c313e7700a9f967e365924411053 |
description |
The main objective of this study is to measure the risk level for operational risk of life insurers operated in Malaysia for the period of 2003 to 2010. The operational problem is the major factor contributed to the company's losses. Due to the operational problems of insurance companies and banks, there is a growing pressure from the regulatory bodies to measure operational risk of these institutions. Volatility is used to measure the level of operational risk and it is used as risk charge to calculate the operational risk capital charge of life insurers. This study found that the volatility of relative revenue is significantly related to operational risk and the risk charge is higher during the crisis period compared to the normal period. Thus, this new risk charge is a better in representing level of operational risk for life insurers in Malaysia. © 2012 IEEE. |
publisher |
|
issn |
|
language |
English |
format |
Conference paper |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1828987883745181696 |