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...

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發表在:ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences"
主要作者: 2-s2.0-84872969158
格式: Conference paper
語言:English
出版: 2012
在線閱讀: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.
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language English
format Conference paper
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