Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks

This study examines the impact of risk management on bank performance in Malaysia. The data of this study are retrieved from DataStream and annual reports of all conventional banks in the country. The sample of the study comprises of 27 conventional commercial banks in Malaysia and the period of...

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Main Author: Saeed, Maytham Hussein
Format: Thesis
Language:eng
eng
Published: 2015
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Online Access:https://etd.uum.edu.my/4631/1/s814431.pdf
https://etd.uum.edu.my/4631/2/s814431_abstract.pdf
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institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Abdul Rahman, Nora Azureen
topic HG Finance
spellingShingle HG Finance
Saeed, Maytham Hussein
Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks
description This study examines the impact of risk management on bank performance in Malaysia. The data of this study are retrieved from DataStream and annual reports of all conventional banks in the country. The sample of the study comprises of 27 conventional commercial banks in Malaysia and the period of study is confined to 2005-2013; making up to 208 observations. The dependent variable of this study is bank performance and is proxy by ROA and ROE, while risk management is the independent variable and is proxy by operational risk, credit risk, and liquidity risk. A regression analysis with GLS estimation is run to test the hypotheses of the study and the results show that operational risk, credit risk and liquidity risk have significant influence on ROE. However, the regression results show that only operational risk and credit risk are significant to ROA while liquidity risk is found to have insignificant relationship with ROA. Hence, the hypotheses of the significant relationship of operational risk and credit risk with bank performance are supported while the hypothesis of significant relationship of liquidity risk and bank performance is not supported.
format Thesis
qualification_name masters
qualification_level Master's degree
author Saeed, Maytham Hussein
author_facet Saeed, Maytham Hussein
author_sort Saeed, Maytham Hussein
title Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks
title_short Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks
title_full Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks
title_fullStr Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks
title_full_unstemmed Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks
title_sort examining the relationship between operational risk, credit risk and liquidity risk with performance of malaysia banks
granting_institution Universiti Utara Malaysia
granting_department Othman Yeop Abdullah Graduate School of Business
publishDate 2015
url https://etd.uum.edu.my/4631/1/s814431.pdf
https://etd.uum.edu.my/4631/2/s814431_abstract.pdf
_version_ 1747827769694224384
spelling my-uum-etd.46312021-04-05T01:09:04Z Examining the relationship between operational risk, credit risk and liquidity risk with performance of Malaysia Banks 2015 Saeed, Maytham Hussein Abdul Rahman, Nora Azureen Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business HG Finance This study examines the impact of risk management on bank performance in Malaysia. The data of this study are retrieved from DataStream and annual reports of all conventional banks in the country. The sample of the study comprises of 27 conventional commercial banks in Malaysia and the period of study is confined to 2005-2013; making up to 208 observations. The dependent variable of this study is bank performance and is proxy by ROA and ROE, while risk management is the independent variable and is proxy by operational risk, credit risk, and liquidity risk. A regression analysis with GLS estimation is run to test the hypotheses of the study and the results show that operational risk, credit risk and liquidity risk have significant influence on ROE. However, the regression results show that only operational risk and credit risk are significant to ROA while liquidity risk is found to have insignificant relationship with ROA. Hence, the hypotheses of the significant relationship of operational risk and credit risk with bank performance are supported while the hypothesis of significant relationship of liquidity risk and bank performance is not supported. 2015 Thesis https://etd.uum.edu.my/4631/ https://etd.uum.edu.my/4631/1/s814431.pdf text eng public https://etd.uum.edu.my/4631/2/s814431_abstract.pdf text eng public masters masters Universiti Utara Malaysia Abbasoglu, O. F., Aysan, A. F., & Gunes, A. (2007). Concentration, competition, efficiency and profitability of the Turkish banking sector in the post-crisis period. 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