Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach
Bank Islam Malaysia Berhad is an institution that offers financing activity that complies with shariah (Islamic law) and its practical application through the development of Islamic economics. The objective of this study is to forecast the performance of share price for Islamic Bank in Malaysia. The...
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| Format: | Article |
| Language: | English |
| Published: |
2017
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| Online Access: | https://repo.uum.edu.my/id/eprint/26297/1/IJAERS%204%207%202017%20174%20179.pdf |
| _version_ | 1825805448304918528 |
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| author | Abu Bakar, Nashirah Rosbi, Sofian |
| author_facet | Abu Bakar, Nashirah Rosbi, Sofian |
| author_sort | Abu Bakar, Nashirah |
| collection | UUM |
| description | Bank Islam Malaysia Berhad is an institution that offers financing activity that complies with shariah (Islamic law) and its practical application through the development of Islamic economics. The objective of this study is to forecast the performance of share price for Islamic Bank in Malaysia. The method implemented in this study is autoregressive integrated moving average (ARIMA). From the analysis, there are
two model of ARIMA that developed which are ARIMA
(3,1,3) and ARIMA(3,1,4). The model of ARIMA (3,1,4) show larger value of R-squared and lower absolute value of Akaike info criterion (AIC). In addition, the mean absolute percentage error (MAPE) is 0.85% in ex-post data range. This results indicates ARIMA (3,1,4) is a reliable forecasting model . The findings from this study
will help investors to select a better portfolio for their investment decision in order to gain better profits. In addition, the findings of this study also will help economists to understand the future condition of economic scenario in Malaysia |
| first_indexed | 2024-07-04T06:32:28Z |
| format | Article |
| id | uum-26297 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:32:28Z |
| publishDate | 2017 |
| record_format | eprints |
| spelling | uum-262972019-08-06T08:32:14Z https://repo.uum.edu.my/id/eprint/26297/ Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach Abu Bakar, Nashirah Rosbi, Sofian HG Finance Bank Islam Malaysia Berhad is an institution that offers financing activity that complies with shariah (Islamic law) and its practical application through the development of Islamic economics. The objective of this study is to forecast the performance of share price for Islamic Bank in Malaysia. The method implemented in this study is autoregressive integrated moving average (ARIMA). From the analysis, there are two model of ARIMA that developed which are ARIMA (3,1,3) and ARIMA(3,1,4). The model of ARIMA (3,1,4) show larger value of R-squared and lower absolute value of Akaike info criterion (AIC). In addition, the mean absolute percentage error (MAPE) is 0.85% in ex-post data range. This results indicates ARIMA (3,1,4) is a reliable forecasting model . The findings from this study will help investors to select a better portfolio for their investment decision in order to gain better profits. In addition, the findings of this study also will help economists to understand the future condition of economic scenario in Malaysia 2017 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/26297/1/IJAERS%204%207%202017%20174%20179.pdf Abu Bakar, Nashirah and Rosbi, Sofian (2017) Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach. International Journal of Advanced Engineering Research and Science, 4 (7). pp. 174-179. ISSN 23496495 http://doi.org/10.22161/ijaers.4.7.27 doi:10.22161/ijaers.4.7.27 doi:10.22161/ijaers.4.7.27 |
| spellingShingle | HG Finance Abu Bakar, Nashirah Rosbi, Sofian Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach |
| title | Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach |
| title_full | Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach |
| title_fullStr | Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach |
| title_full_unstemmed | Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach |
| title_short | Data modeling diagnostics for share price performance of Islamic Bank in Malaysia using Computational Islamic Finance approach |
| title_sort | data modeling diagnostics for share price performance of islamic bank in malaysia using computational islamic finance approach |
| topic | HG Finance |
| url | https://repo.uum.edu.my/id/eprint/26297/1/IJAERS%204%207%202017%20174%20179.pdf |
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