Predicting Islamic banks performance through CAMELS rating model
This paper analyzes the performance of Islamic banks operating in Pakistan according to their financial results of the year 2015. CAMELS rating model is applied in this research. This model is based on certain financial ratios which are excerpt from values in the financial statements of banks. The a...
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doaj-bc001e1fbde040f59316e0cedc5206532020-11-25T00:35:40ZengLLC "CPC "Business Perspectives"Banks and Bank Systems1816-74031991-70742016-10-01113374310.21511/bbs.11(3).2016.047845Predicting Islamic banks performance through CAMELS rating modelOmar Masood0Shahid Mohammad Khan Ghauri1Bora Aktan2Quaid-i-Azam School of Management Sciences, Quaid-i-Azam University, IslamabadReginal Operations Manager, Sonier Bank Limited (Pakistan)Associate Professor of Finance, College of Business Administration, University of BahrainThis paper analyzes the performance of Islamic banks operating in Pakistan according to their financial results of the year 2015. CAMELS rating model is applied in this research. This model is based on certain financial ratios which are excerpt from values in the financial statements of banks. The authors conduct the research under the umbrella of quantitative paradigm. The authors found that 2 of the Islamic banks are showing satisfactory results, while others are on fair position. There is a need to develop financial markets for treasury operations for these banks. Results help in development of growth strategy for Islamic banks in Pakistan, as well as they might be useful to create a fair snapshot for regulators to develop growth strategy for this stream of banking. Keywords: Islamic banking, performance, growth analysis, CAMELS. JEL Classification: G02, G21, G32https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/7845/BBS_en_2016_03_Masood.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Omar Masood Shahid Mohammad Khan Ghauri Bora Aktan |
spellingShingle |
Omar Masood Shahid Mohammad Khan Ghauri Bora Aktan Predicting Islamic banks performance through CAMELS rating model Banks and Bank Systems |
author_facet |
Omar Masood Shahid Mohammad Khan Ghauri Bora Aktan |
author_sort |
Omar Masood |
title |
Predicting Islamic banks performance through CAMELS rating model |
title_short |
Predicting Islamic banks performance through CAMELS rating model |
title_full |
Predicting Islamic banks performance through CAMELS rating model |
title_fullStr |
Predicting Islamic banks performance through CAMELS rating model |
title_full_unstemmed |
Predicting Islamic banks performance through CAMELS rating model |
title_sort |
predicting islamic banks performance through camels rating model |
publisher |
LLC "CPC "Business Perspectives" |
series |
Banks and Bank Systems |
issn |
1816-7403 1991-7074 |
publishDate |
2016-10-01 |
description |
This paper analyzes the performance of Islamic banks operating in Pakistan according to their financial results of the year 2015. CAMELS rating model is applied in this research. This model is based on certain financial ratios which are excerpt from values in the financial statements of banks. The authors conduct the research under the umbrella of quantitative paradigm. The authors found that 2 of the Islamic banks are showing satisfactory results, while others are on fair position. There is a need to develop financial markets for treasury operations for these banks. Results help in development of growth strategy for Islamic banks in Pakistan, as well as they might be useful to create a fair snapshot for regulators to develop growth strategy for this stream of banking.
Keywords: Islamic banking, performance, growth analysis, CAMELS. JEL Classification: G02, G21, G32 |
url |
https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/7845/BBS_en_2016_03_Masood.pdf |
work_keys_str_mv |
AT omarmasood predictingislamicbanksperformancethroughcamelsratingmodel AT shahidmohammadkhanghauri predictingislamicbanksperformancethroughcamelsratingmodel AT boraaktan predictingislamicbanksperformancethroughcamelsratingmodel |
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1725308160172883968 |