S-Rater: Data mining application in Islamic financial sector

M. Kartiwi, Tika Arundina, Mohd. Azmi Omar, T. Gunawan
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引用次数: 2

Abstract

Islamic finance and capital market is one of the fastest growing segments of international financial markets. Recent innovations in Islamic finance and capital market have changed the terrain of the landscape of the financial industry. One of them is Islamic securities which are known as Sukuk. The use of Sukuk as the alternative to the existing conventional bond, has become increasingly popular in the last few years. They are used as a means of raising government finance through sovereign Sukuk issues, and means through which companies raise funds by issuing corporate Sukuk. In addition, theoretically there should be some differences in rating methodologies for bond and Sukuk because these two instruments are different in nature. Thus, it is the aim of this study to identify the important determinants in Sukuk Rating using data mining approach. The final model is then implemented into web application, called S-Rater.
S-Rater:数据挖掘在伊斯兰金融领域的应用
伊斯兰金融和资本市场是国际金融市场中发展最快的部分之一。伊斯兰金融和资本市场最近的创新已经改变了金融业的格局。其中之一是伊斯兰证券,被称为Sukuk。过去几年,使用伊斯兰债券作为现有传统债券的替代品越来越受欢迎。它们是通过发行主权伊斯兰债券筹集政府资金的一种手段,也是企业通过发行公司伊斯兰债券筹集资金的一种手段。此外,从理论上讲,债券和伊斯兰债券的评级方法应该有所不同,因为这两种工具在性质上是不同的。因此,本研究的目的是利用数据挖掘方法确定伊斯兰债券评级的重要决定因素。然后将最终模型实现到web应用程序中,称为S-Rater。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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