2020
DOI: 10.31764/jtam.v4i2.2790
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Forecasting the Development of Islamic Bank in Indonesia: Adopting ARIMA Model

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… Show more

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Cited by 6 publications
(5 citation statements)
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“…Based on Syarif (2020) research findings regarding forecasting using the Auto-Regressive Integrated Moving Average (ARIMA) model for Islamic bank development, it can be summarized that the ARIMA (0,1,1) model produced the most accurate forecasting results. These results indicate that the growth of Islamic banks in 2020 is projected to rise by 7.4% in assets and is expected to increase by 7.3% by the conclusion of 2022, resulting in a total asset value of IDR 437 trillion.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Based on Syarif (2020) research findings regarding forecasting using the Auto-Regressive Integrated Moving Average (ARIMA) model for Islamic bank development, it can be summarized that the ARIMA (0,1,1) model produced the most accurate forecasting results. These results indicate that the growth of Islamic banks in 2020 is projected to rise by 7.4% in assets and is expected to increase by 7.3% by the conclusion of 2022, resulting in a total asset value of IDR 437 trillion.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Penelitian ini menggunakan metode seleksi elitsm, dimana hanya beberapa individu dengan fitnes terbaik yang akan dipilih [8]. Tujuan dari metode seleksi ini adalah memberikan kesempatan yang besar kepada individu terbaik untuk melahirkan offspring dengan kualitas fitnes yang baik juga dan menghindari kehilangan individu terbaik [9].…”
Section: Selectionunclassified
“…The stationary time series models are the AR, MA, and ARMA models. Meanwhile, the non-stationary time series model is the ARIMA model, with the following models (Syarif, 2020) (Didiharyono & Syukri, 2020):…”
Section: Identifying the Box Jenkins Model By Looking At The Autocorrelation Function (Acf) And Partial Autocorrelation Function (Pacf) Pmentioning
confidence: 99%