Table 5.

Determinants of Islamic banks’ performances

(1)(2)(3)(4)
Pooled OLS
VariablesFEREGLS
Overheads (OVHD)−0.410 (0.405)−1.083 (0.718)−1.428* (0.764)−0.749** (0.300)
Bank size (SZE)0.414 (0.420)−3.304 (2.064)0.0145 (0.845)0.881*** (0.271)
Retained earnings (RSRV)0.108** (0.0486)0.232*** (0.0783)0.190*** (0.0549)0.124*** (0.0353)
Deposit (DPST)−0.00744** (0.00310)−0.00652** (0.00281)−0.00339 (0.00227)−0.0121 (0.00833)
Operating efficiency (OE)−1.010 (0.648)1.812 (1.291)−0.159 (1.096)−0.550 (0.511)
GDP (const.)0.606 (0.400)−10.82** (4.660)0.424 (0.753)0.581* (0.308)
Inflation (IN)−0.185*** (0.0653)−0.0503 (0.0665)0.0100 (0.0493)−0.0107 (0.0376)
Cellular (CE)−0.00300 (0.0112)−0.000124 (0.0196)0.0154 (0.0129)−0.00338 (0.00532)
Constant−22.94** (10.05)328.4** (133.2)−18.39 (20.63)−31.68*** (6.908)
Observations149149149149
R-squared0.2450.157  
Number of banks 252525
Notes

: Robust standard errors in parentheses;

***p < 0.01, **p < 0.05 and *p < 0.1.

The table displays the results of a study that investigated the financial performance of Islamic banks in the MENA region using four different estimation methods: pooled OLS, panel effects, fixed effects and generalized least squares (GLS). The variables examined in this study include Overheads (OVHD), Bank size (SZE), Retained earnings (RSRV), Deposits (DPST), Operating efficiency (OE), GDP (const.), Inflation (IN) and Cellular (CE)

Source: Author’s own work

or Create an Account

Close subscription notice
Close access options