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Journal of Islamic Monetary Economics and Finance
Published by Bank Indonesia
ISSN : 24606146     EISSN : 24606618     DOI : -
Core Subject : Economy,
JIMF is an international peer-reviewed and scientific journal which is published quarterly by Bank Indonesia Institute. JIMF is a type of scientific journal (e-journal) in Islamic economics, monetary, and finance. By involving a large research communiy in an innovative public peer-review process, JIMF aims to provide fast access to high quality papers and continual platform for sharing studies of academicians, researchers, and practitioners; disseminate knowledge and research in various fields of Islamic economics, Monetary and Finance; encourage and foster research in the area of Islamic Economics, Monetary, and Finance; and bridge the gap between theory and practice in the area Islamic Economics, Monetary and Finance.
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Articles 3 Documents
Search results for , issue "vol. 5 no. 3 (2019)" : 3 Documents clear
Big Data Algorithms and Prediction: Bingos and Risky Zones in Sharia Stock Market Index Shahid Anjum; Naveeda Qaseem
Journal of Islamic Monetary Economics and Finance Vol. 5 No. 3 (2019)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v5i3.1151

Abstract

Each country with a stock exchange normally calculates various indexes. So is the case for Malaysia’s Kuala Lumpur Stock exchange (KLSE). FTSE BURSA Malaysia EMAS Sharia price index (FTBMEMA) is one of its Sharia indexes. In an effort to find which other indices may forecast this Sharia index, we selected 23 relevant indexes and two exchange rates. Momentum indicators for short, medium and long term have been calculated for the variables. The objective of this study is to find predictive indicators for FTBMEMA out of the population of 188 original and derived variables. Difficulty arises in reducing the number of variables for regression or other predictive models like neural networks. In this preliminary study, data mining attribute selection algorithms along with cross validation criteria have been used, through the use of Java class library Weka (JCLW), for reducing the number to statistically relevant variables for our regression estimation in an effort to forecast various performance parameters for FTBMEMA like performing either in a mean performance range, having jackpots and bingos or falling into danger zones. Provided the extent of the required predictive accuracy, the results may bring additional insights for diversifying and hedging various types of investment portfolios as well as for maximizing returns by portfolio managers.
The Microenterprising Size and Acceptance of Islamic Health Insurance (Takaful) in Northwestern Nigeria Mansur Ahmed Kazaure; Addul Rashid Abdullah
Journal of Islamic Monetary Economics and Finance Vol. 5 No. 3 (2019)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v5i3.1153

Abstract

Application of Theory of Planned Behavior (TPB) in Islamic Health Insurance (takaful) acceptance revealed mixed findings. Hence, the need for a moderating variable to explain the conflicting results. This paper examines the moderating role of size of microenterprise among the TPB variables. To achieve this end, quantitative methodology adopted through distribution of research questionnaires among the participants of the study. Results indicate that attitude, social influence, perceived behavioral control and size of microenterprises significantly influence Islamic Health Insurance (takaful) acceptance intention among microenterprises in northwestern Nigeria. The findings also revealed that size of microenterprise moderates the effect of social influence on Islamic Health Insurance acceptance intention, but it failed to moderate the influence of attitude and perceived behavioral control on Islamic Health Insurance acceptance intention in same context. It implied that size of microenterprises does not matter most in Islamic Health Insurance acceptance; nonetheless, the finding contributes to the Theories of Reasoned Action and Planned Behavior as it provides evidence on the significant moderating role of size on the effect social influence on Islamic Health Insurance acceptance intention among microenterprises.
Socio-Demographic Determinants of Credit Rationing at Baitul Maal wa Tamwil in Indonesia Permata Wulandari; Salina Kassim
Journal of Islamic Monetary Economics and Finance Vol. 5 No. 3 (2019)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v5i3.1156

Abstract

This study seeks to identify credit rationing socio-demographic determinants to Islamic microfinance to achieve welfare improving goals in three Bottom of the Economic Pyramid (BOP) regions: Yogyakarta, East Lombok and Makassar, South Sulawesi, Indonesia. Another primary focus of this study is to highlight the suggested solutions from Islamic microfinance practitioners to overcome the challenges in the practice of credit rationing assessment. 2,650 borrowers at the BOP in 26 Islamic Microfinance Institutions (MFIs) in Indonesia were selected based on cluster sampling and purposive sampling methods. A questionnaire is adapted from several previous studies. Multinomial logistics regression is used in this paper. Results show that the determinant of credit rationing based on socio-demographic factors, reflecting certain socio-demographic factors that include age, gender, account balance, dependents, salary, monthly income, formal education, access to financing facility in the previous year, distance, and years of saving, has significant influence on the probability of getting financing. Thus, in order to reduce the credit-rationing problem, the major implications from this study are that Baitul Maal wa Tamwil (BMT) should enhance the participation of women, using monthly income rather than salary determinants, provide credit plus financing and realize a one village one BMT program. The solutions would enhance the participation of BOP borrowers at BMT.

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