Using static panel models to assess the experience of Islamic banks in Algeria
Author
Source
Journal of Economic and Financial Studies
Issue
Vol. 15, Issue 1 (31 Dec. 2022), pp.499-515, 17 p.
Publisher
University of Echahid Hamma Lakhdar-el-Oued Faculty of Economic Commercial and Management Sciences
Publication Date
2022-12-31
Country of Publication
Algeria
No. of Pages
17
Main Subjects
Topics
- Islam
- Profits
- Investment returns
- Religious aspects
- Central banks
- Banking
- Ratio analysis
- Capital productivity
- Islamic Banks
- Profits distribution
- Panel analysis
Abstract EN
Islamic Banking process in Algeria still subject to a regulatory system of Central Bank Low, which giving negatively affected in their ability to create value.
Summered in there's profitability indicators.
So, the study aimed to focused on its evaluation for the period between 2010 and 2015 using panel models, which found a positive relationship between the return on assets ROA and the net result, and associated with a negative coefficient with the return on equity ROE, revealing an accompanying reverse for the value generated by each monetary unit invested in those banks, which exposes its balance of confidence to depreciation
American Psychological Association (APA)
Madini, Uthman. 2022. Using static panel models to assess the experience of Islamic banks in Algeria. Journal of Economic and Financial Studies،Vol. 15, no. 1, pp.499-515.
https://search.emarefa.net/detail/BIM-1441778
Modern Language Association (MLA)
Madini, Uthman. Using static panel models to assess the experience of Islamic banks in Algeria. Journal of Economic and Financial Studies Vol. 15, no. 1 (2022), pp.499-515.
https://search.emarefa.net/detail/BIM-1441778
American Medical Association (AMA)
Madini, Uthman. Using static panel models to assess the experience of Islamic banks in Algeria. Journal of Economic and Financial Studies. 2022. Vol. 15, no. 1, pp.499-515.
https://search.emarefa.net/detail/BIM-1441778
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1441778