Please use this identifier to cite or link to this item: https://oarep.usim.edu.my/jspui/handle/123456789/11100
Title: An Investigation Of An Adaptive Neuro-fuzzy Inference System To Model The Relationship Among Natural Resources, Islamicity And Financial Development
Authors: Hafezali Iqbal Hussain ItemCrisRefDisplayStrategy.rp.deleted.icon
Jahanzaib Haider ItemCrisRefDisplayStrategy.rp.deleted.icon
Abdul Qayyum 
Rashidah Kamarulzaman ItemCrisRefDisplayStrategy.rp.deleted.icon
Nazratul Aina Mohamad Anwar 
Keywords: Natural Resources,;Islamicity,;Financial Development,;Adaptive Neuro-Fuzzy Inference System
Issue Date: 2020
Publisher: Fundacion Aigle
Journal: Revista Argentina de Clinica Psicologica 
Abstract: 
Understanding the relations among natural resources, Islamicity and financial development helps economies to formulate policies and develop sources to improve the financial development. The current study aims to apply a novel Adaptive Neuro-Fuzzy Inference System (ANFIS) to explore financial development in 6 Asian economies (Pakistan, Indonesia, Philippines, Qatar, Bahrain and Thailand). It is a model used for prediction that depends on fuzzy guidelines findings in the information and creates a link among criterion and predictor variables. In doing so, the study considers the data from 2005 to 2019 to construct the forecasting framework of financial development in selected Asian economies using two predictor variables (natural resources and Islamicity). The findings of the study show that financial development increases with the decline in natural resources in all the sample countries. The selected countries are similar with respect to natural resources as a predictor versus financial development as criterion. With respect to Islamicity index, the findings are similar in Pakistan, Indonesia and Thailand and alike in Philippines, Qatar and Bahrain. For concern, in Pakistan, Indonesia and Thailand, financial development increases with the decline in Islamicity index while it increases with the increase in Islamicity index in Philippines, Qatar and Bahrain. It is concluded that resource-centered nations have negative relationship with financial development. It seems that the economies with abundant natural resources increases the exports of these resources instead of using them in the process of production. The study concludes that this soft computing approach can be implemented as an efficient and effective tool for predicting financial development for future period based on anticipated targets of rising financial development in Asian economies. Moreover, the method established in this study can be utilized to find out the solutions of different prediction problems in the similar domains.

Keywords
Natural Resources, Islamicity, Financial Development, Adaptive Neuro-Fuzzy Inference System
Description: 
2020, Vol. XXIX, N°4, 524-540
URI: https://oarep.usim.edu.my/jspui/handle/123456789/11100
https://revistaclinicapsicologica.com/archivesarticle.php?id=66
ISSN: 0327-6716
DOI: 10.24205/03276716.2020.859
Appears in Collections:Other Publications

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