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Risk management and dynamic network performance: an illustration using a dual banking system

This study applies dynamic network data envelopment analysis to compare a dual banking system, namely conventional and Islamic banks, with emphasis on risk measures. Non-oriented, variable return-to-scale dynamic network slacks-based measure is used to model the banking performance for the period 20...

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主要な著者: Kweh Q.L., Lu W.-M., Nourani M., Ghazali Mohd Zain M.H.
その他の著者: 55661469500
フォーマット: 論文
出版事項: Routledge 2023
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spelling my.uniten.dspace-237922023-05-29T14:51:52Z Risk management and dynamic network performance: an illustration using a dual banking system Kweh Q.L. Lu W.-M. Nourani M. Ghazali Mohd Zain M.H. 55661469500 25625212800 57189315827 57201432302 This study applies dynamic network data envelopment analysis to compare a dual banking system, namely conventional and Islamic banks, with emphasis on risk measures. Non-oriented, variable return-to-scale dynamic network slacks-based measure is used to model the banking performance for the period 2008�2012. Under the consideration of risk measures, the findings highlight that Islamic banks excel in managerial efficiency while conventional banks surpass in profitability efficiency. Furthermore, the regression results find that the number of directors on the risk management committee has a positive impact on banking performance. Meanwhile, the high number of independent directors improves the profitability efficiency but worsens the managerial efficiency. � 2018 Informa UK Limited, trading as Taylor & Francis Group. Final 2023-05-29T06:51:52Z 2023-05-29T06:51:52Z 2018 Article 10.1080/00036846.2017.1420889 2-s2.0-85041003982 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041003982&doi=10.1080%2f00036846.2017.1420889&partnerID=40&md5=68ef1b5d382f181467c91d84ee650d08 https://irepository.uniten.edu.my/handle/123456789/23792 50 30 3285 3299 Routledge Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This study applies dynamic network data envelopment analysis to compare a dual banking system, namely conventional and Islamic banks, with emphasis on risk measures. Non-oriented, variable return-to-scale dynamic network slacks-based measure is used to model the banking performance for the period 2008�2012. Under the consideration of risk measures, the findings highlight that Islamic banks excel in managerial efficiency while conventional banks surpass in profitability efficiency. Furthermore, the regression results find that the number of directors on the risk management committee has a positive impact on banking performance. Meanwhile, the high number of independent directors improves the profitability efficiency but worsens the managerial efficiency. � 2018 Informa UK Limited, trading as Taylor & Francis Group.
author2 55661469500
author_facet 55661469500
Kweh Q.L.
Lu W.-M.
Nourani M.
Ghazali Mohd Zain M.H.
format Article
author Kweh Q.L.
Lu W.-M.
Nourani M.
Ghazali Mohd Zain M.H.
spellingShingle Kweh Q.L.
Lu W.-M.
Nourani M.
Ghazali Mohd Zain M.H.
Risk management and dynamic network performance: an illustration using a dual banking system
author_sort Kweh Q.L.
title Risk management and dynamic network performance: an illustration using a dual banking system
title_short Risk management and dynamic network performance: an illustration using a dual banking system
title_full Risk management and dynamic network performance: an illustration using a dual banking system
title_fullStr Risk management and dynamic network performance: an illustration using a dual banking system
title_full_unstemmed Risk management and dynamic network performance: an illustration using a dual banking system
title_sort risk management and dynamic network performance: an illustration using a dual banking system
publisher Routledge
publishDate 2023
_version_ 1806426071743070208
score 13.250246

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