Treating return of mudharabah time deposit as investment instrument: A utilization of artificial neural networks (ANNs)

S Anwar, D Romansyah, S Pramono, K Watanabe - Humanomics, 2010 - emerald.com
Purpose–The purpose of this paper is to propose the development of return forecasting
model for mudharabah time deposit product in Islamic bank based on artificial neural …

[PDF][PDF] Comparing accuracy performance of ANN, MLR, and GARCH model in predicting time deposit return of Islamic bank

S Anwar, Y Mikami - International Journal of Trade, Economics and Finance, 2011 - ijtef.org
The utilization of artificial neural networks (ANN) in Islamic banking research is rarely
reported. Therefore, this paper aims to examine the possibility of ANN utilization in case of …

Forecasting Saving Deposit in Malaysian Islamic Banking: Comparison Between Artificial Neural Network and Arima

R Sukmana, MI Solihin - Jurnal Ekonomi & Studi Pembangunan, 2007 - journal.umy.ac.id
The aim of this paper is to test the ability of artificial neural network (ANN) as an alternative
method in time series forecasting and compared to autoregressive integrated moving …

Behavior investigation of Islamic bank deposit return utilizing artificial neural networks model

S Anwar, R Ismal, K Watanabe - Journal of Islamic Finance, 2012 - platform.almanhal.com
According to Islamic law, the Islamic banks deliver return to depositors based on profit and
loss sharing principle. Consequently, the return will be uncertain following real business and …

[PDF][PDF] Predicting future depositors rate of return applying neural network: a case-study of Indonesian Islamic bank

S Anwar, K Watanabe - International Journal of Economics and Finance, 2010 - Citeseer
Islamic bank has to perform well in order to deliver better return in compensating depositors
money. This paper is conducted to identify the relative significance assigned to …

[PDF][PDF] Performance comparison of multiple linear regression and artificial neural networks in predicting depositor return of Islamic Bank

S Anwar, K Watanabe - 2010 International Conference on E …, 2011 - researchgate.net
The utilization of artificial neural networks (ANN) in Islamic banking research is rarely
reported. Therefore, this paper aims to examine the possibility of ANN utilization for …

Implementation of hybrid ARIMA-neural network model: Total assets of Indonesia Sharia banking data

E Setyowati, RC Utama - AIP Conference Proceedings, 2023 - pubs.aip.org
This study applies a combining ARIMA and Neural Network model (Hybrid ARIMA-Neural
Network) for forecasting the total assets of Indonesia sharia banking. This model has two …

Factors Affecting Return Share Of Mudharabah Deposits Sharia Commercial Banks

IA Syera, H Affiah - International Journal of Science, Technology & …, 2021 - ijstm.inarah.co.id
The specific purpose of this study is to determine the factors that affect the return for the
results of Islamic Bank deposits. The approach used in this research is a quantitative …

Empirical research on rate of return, interest rate and mudharabah deposit

IM Relasari, A Soediro - SHS Web of Conferences, 2017 - shs-conferences.org
The objective of this study is to analyze the effects of interest rate and the rate of return on
mudharabah deposits in Islamic banks. Using data covering the period from January 2012 to …

The Internal Factors Determining Rate of Return on Mudharaba Deposits in Sharia Commercial Banks in Indonesia

L Yulyani, JW Mahri, SA Utami… - … , and Finance (ICEBEF …, 2019 - atlantis-press.com
This study aims to determine and analyze the internal factors that affect the rate of return on
mudharaba deposits at Sharia Commercial Banks in Indonesia. The populations in this …