Forecasting the Development of Islamic Bank in Indonesia: Adopting ARIMA Model

Ahmad Syarif

Abstract


Financial activities that are often carried out by people in developed and developing countries. Banks can collect public funds directly from customers, then distribute them to the public. Islamic banks still have a good reputation in the community so that the assets and third party funds of Islamic commercial banks grow. This is also reinforced by public optimism due to regulation of Banking Synergy in One Ownership for the development of Islamic Banking. The purpose of this study is to forecast the growth of Islamic banking after the implementation of banking synergy regulations in one ownership as an effort to increase the efficiency of the Islamic banking industry. This study used the secondary data all of  the Islamic Banks in Indonesia from Financial Service Authority by Autoregressive Integrated Moving Average (ARIMA) period 2015-2019 as the estimated data and 2020-2022 as the forecasting data in quarter. This study used two variables, asset and third-party fund, to estimate the best model. The result shows ARIMA (0,1,1) has the small AIC and significant value as best estimation model. The growth of Islamic banks in 2020 will increase by 7.4 % in assets and 7.3 % by the end of 2022 to IDR 437 trillion. Meanwhile, third party funds by the end of 2022 will increase by 8 % with total third party funds of IDR 361 trillion. Banking Synergy in One Ownership Order has the potential to increase the effectiveness and the efficiency of the Islamic Banking Industry at future


Keywords


Forecasting, ARIMA Model, Islamic Bank

Full Text:

Download [PDF]

References


Bakar, N. A. and Rosbi, S. (2017) ‘Robust Pearson Correlation Analysis of Volatility for the Islamic Bank in Malaysia: An Arithmetic Approach in Islamic Financial Engineering’, International Journal of Economics, Commerce and Management, 5(3), pp. 1–15.

Balli, F. and Elsamadisy, E. M. (2012) ‘Modelling the currency in circulation for the State of Qatar’, International Journal of Islamic and Middle Eastern Finance and Management. Emerald Group Publishing Limited.

Chan, Y.-S., Greenbaum, S. I. and Thakor, A. V (1986) ‘Information reusability, competition and bank asset quality’, Journal of Banking & Finance. Elsevier, 10(2), pp. 243–253.

Coelho, A. V. C. et al. (2019) ‘HIV-1 mother-to-child transmission in Brazil (1994-2016): a time series modeling’, Brazilian Journal of Infectious Diseases. SciELO Brasil, 23(4), pp. 218–223.

El‐Masry, A. and Abdel‐Salam, O. (2007) ‘Exchange rate exposure: do size and foreign operations matter?’, Managerial Finance. Emerald Group Publishing Limited.

Enders, W. (1988) ‘ARIMA and cointegration tests of PPP under fixed and flexible exchange rate regimes’, The Review of Economics and Statistics. JSTOR, pp. 504–508.

Fattah, J. et al. (2018) ‘Forecasting of demand using ARIMA model’, International Journal of Engineering Business Management. SAGE Publications Sage UK: London, England, 10, p. 1847979018808673.

FInancial Service Authority (2019) No Title. Indonesia. Available at: https://www.ojk.go.id/id/kanal/syariah/data-dan-statistik/statistik-perbankan-syariah/Pages/Statistik-Perbankan-Syariah---Desember-2019.aspx.

Fisk, R. P. et al. (2018) ‘Design for service inclusion: creating inclusive service systems by 2050’, Journal of Service Management. Emerald Publishing Limited.

Gul, S., Irshad, F. and Zaman, K. (2011) ‘Factors Affecting Bank Profitability in Pakistan.’, Romanian Economic Journal, 14(39).

Imai, C. and Hashizume, M. (2014) ‘Systematic review on methodology: time series regression analysis for environmental factors and infectious diseases’, Tropical medicine and health. Japanese Society of Tropical Medicine.

Jadevicius, A. and Huston, S. (2015) ‘ARIMA modelling of Lithuanian house price index’, International Journal of Housing Markets and Analysis. Emerald Group Publishing Limited.

Komari, N. and Djafar, F. (2013) ‘Work ethics, work satisfaction and organizational commitment at the Sharia Bank, Indonesia’, International Business Research. Citeseer, 6(12), p. 107.

Liebermann, S. and Hoffmann, S. (2008) ‘The impact of practical relevance on training transfer: evidence from a service quality training program for German bank clerks’, International Journal of Training and Development. Wiley Online Library, 12(2), pp. 74–86.

Luz, P. M. et al. (2008) ‘Time series analysis of dengue incidence in Rio de Janeiro, Brazil’, The American journal of tropical medicine and hygiene. ASTMH, 79(6), pp. 933–939.

Obaidullah, M. (2015) ‘Enhancing food security with Islamic microfinance: insights from some recent experiments’, Agricultural Finance Review. Emerald Group Publishing Limited.

Saleem, N. (2008) ‘Measuring volatility of inflation in Pakistan’. © The Lahore School of Economics.

Singh, S. N. and Mohapatra, A. (2019) ‘Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting’, Renewable energy. Elsevier, 136, pp. 758–768.

Syarif, A. (2014) ‘Pemodelan dan Peramalan Penutupan Harga Saham Harian Jakarta Islamic Index Model Garch’, Ekbisi, 9(1).

Syarif, A. (2019) ‘The Measurement of Customer Satisfaction Index with Method of Importance-Performance and Gap Analysis’, Global Review of Islamic Economics and Business, 7(2), pp. 57–67.

Vermeulen, W. and Crous, M. J. (2000) ‘Training and education for TQM in the commercial banking industry of South Africa’, Managing Service Quality: An International Journal. MCB UP Ltd.

Zheng, Y.-L. et al. (2015) ‘Forecast model analysis for the morbidity of tuberculosis in Xinjiang, China’, PloS one. Public Library of Science, 10(3), p. e0116832.

Živko, I. and Bošnjak, D. (2017) ‘Time series modeling of inflation and its volatility in Croatia’, Notitia-časopis za održivi razvoj. Notitia doo, 3(3), pp. 1–10.




DOI: https://doi.org/10.31764/jtam.v4i2.2790

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Ahmad Syarif

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

_______________________________________________

JTAM already indexing:

                     


_______________________________________________

 

Creative Commons License

JTAM (Jurnal Teori dan Aplikasi Matematika) 
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

______________________________________________

_______________________________________________

_______________________________________________ 

JTAM (Jurnal Teori dan Aplikasi Matematika) Editorial Office: