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Showing 3 results for Islamic Banking
Yadollah Dadgar, Towhid Firouzan Sarnaghi,
Volume 12, Issue 4 (1-2013)
Abstract
For determining the profit in transactional contracts, there is no a comprehensive theory. Some viewpoints are very general and others are based on exchange rate of return, which contain speculative difficulties. Some others use international Libor rate and so on. Due to the lack of a consistent theory, this paper is introducing shadow cost approach to fill the gap in question. This is indeed going to estimate capital return or opportunity cost of capital. Introducing an efficient method is the main finding of this paper. In terms of methodology, this paper is based on statistical analysis and econometric methods.
Volume 13, Issue 2 (9-2023)
Abstract
Islamic banking has grown significantly in recent decades and is known as one of the growing industries in the world. Therefore, the purpose of this study is to identify and prioritize the factors affecting the acceptance of Islamic banking by customers with a fuzzy ARAS approach. The present study is a development-applied research.The statistical population of this study was 15 experts in the field of banking and Islamic economics who were selected by available methods .in the first step with library reviews and evaluation of the findings of previous studies related to the subject, the factors affecting the acceptance or selection of Islamic Bank by customers were examined. In the next step, Shannon entropy technique was used to screen for the identified factors. In order to achieve the weight and importance of the factors, the fuzzy Analytic Hierarchy Process (AHP) technique was used and finally the fuzzy Aras technique was used to prioritize the factors. Findings show that the factors of religion and religious beliefs of the society, compatibility with the values of society and customers and social responsibility of the Islamic banking system are the most important in the acceptance of Islamic banking by customers. Bank reputation and image, comparative advantage over conventional banking system and advertising in accepting Islamic banking by customers were recognized as less important factors.
Hamide Naghade, Towhid Firoozan,
Volume 17, Issue 1 (4-2017)
Abstract
Islamic banking includes profit and loss sharing (PLS) and transaction contracts. Transaction contracts have fixed rates of return, which in turn form a base for allocating the financial resources to PLS contracts. In Iran, the rates of return in transaction contracts are determined by Central Bank. In this research, we compute and estimate the rates of return in transaction contracts using the Multi-Layer Perceptron (MLP) Artificial Neural Networks and Radial Basis Function (RBF). This research is an extension and improvement of Dadgar and Firoozan (2012) work. Data used for algorithms is the real data gathered from manufacturing workplaces having more than 10 employees. Our results show that two networks are of good accuracy to estimate the coefficients of shadow cost function, and most of them are approximately equal in two networks.
Compared to econometric method, the proposed model has no sampling limitation. This method accounts for all of 14000 manufacturing units in 2007, and consequently the computational errors are much less than those of econometric calculations. According to the results, the estimated rate of return for transaction contracts is 15%. This rate in comparison with the prevailing rate, i.e. 12%, reflects a 20% deviation in determining rate of return, which causes undeniable costs on the economy and allocation of limited resources.
