Jurnal Keuangan dan Perbankan Universitas Merdeka Malang
Stability of Islamic banks in Indonesia: Autoregressive Distributed Lag Approach
Dublin Core
Title
Jurnal Keuangan dan Perbankan Universitas Merdeka Malang
Stability of Islamic banks in Indonesia: Autoregressive Distributed Lag Approach
Stability of Islamic banks in Indonesia: Autoregressive Distributed Lag Approach
Subject
Autoregressive Distributed Lag (ARDL); Non-performing financing (NPF); Stability of Islamic banks; Z-score
Description
Islamic banks in Indonesia are very vulnerable to the instability of their business processes because of their small market share. Moreover, based on their financial performances, Islamic banks are worse than those of conventional banks due to
lower profits (ROA) and higher Non-performing financing (NPF). Our study investigates the stability of Islamic banks. We measure the stability using Z-score and NPF. Instead of an individual bank, the study applies an aggregate data of Islamic
banks encompassing Islamic commercial banks along with Islamic business units. Monthly time series data, covering January 2010 to December 2018 are selected. We apply the Autoregressive Distributed Lag (ARDL) model. The findings document that the Islamic bank’s specific variables affecting stability are size, CAR, and efficiency. The larger size and CAR support the Islamic bank’s stability. Lower efficiency increases the Islamic bank’s instability. Meanwhile, Inflation and exchange rates affect the Islamic bank’s stability. Economic downturns due to inflation and
depreciation of rupiah increase the instability of Islamic banks.
lower profits (ROA) and higher Non-performing financing (NPF). Our study investigates the stability of Islamic banks. We measure the stability using Z-score and NPF. Instead of an individual bank, the study applies an aggregate data of Islamic
banks encompassing Islamic commercial banks along with Islamic business units. Monthly time series data, covering January 2010 to December 2018 are selected. We apply the Autoregressive Distributed Lag (ARDL) model. The findings document that the Islamic bank’s specific variables affecting stability are size, CAR, and efficiency. The larger size and CAR support the Islamic bank’s stability. Lower efficiency increases the Islamic bank’s instability. Meanwhile, Inflation and exchange rates affect the Islamic bank’s stability. Economic downturns due to inflation and
depreciation of rupiah increase the instability of Islamic banks.
Creator
Agus Widarjono
Source
http://jurnal.unmer.ac.id/index.php/jkdp
Publisher
Universitas Merdeka Malang
Date
January 2020
Contributor
Sri Wahyuni
Rights
ISSN: 2443-2687 (Online) ISSN: 1410-8089 (Print)
Format
PDF
Language
English
Type
Text
Coverage
Jurnal Keuangan dan Perbankan Universitas Merdeka Malang
Files
Collection
Citation
Agus Widarjono, “Jurnal Keuangan dan Perbankan Universitas Merdeka Malang
Stability of Islamic banks in Indonesia: Autoregressive Distributed Lag Approach,” Repository Horizon University Indonesia, accessed April 3, 2025, https://repository.horizon.ac.id/items/show/4719.
Stability of Islamic banks in Indonesia: Autoregressive Distributed Lag Approach,” Repository Horizon University Indonesia, accessed April 3, 2025, https://repository.horizon.ac.id/items/show/4719.