SOCIAL MEDIA DATA TO DETERMINE LOAN DEFAULT PREDICTING METHOD IN AN ISLAMIC ONLINE PEER TO PEER LENDING

SOCIAL MEDIA DATA TO DETERMINE LOAN DEFAULT PREDICTING METHOD IN AN ISLAMIC ONLINE PEER TO PEER LENDING

Currently, financial technology is growing rapidly in Indonesia. One of financial technology major type is online peer to peer lending platform. Islamic online peer to peer lending is also emerging. However, credit risk still a major concern for this platform. In order to address this issue, social...

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Bibliographic Details
Main Authors: Hasna Nabila Laila Khilfah, Taufik Faturohman
Format: Article
Language:English
Published: Bank Indonesia 2020-05-01
Series:Journal of Islamic Monetary Economics and Finance
Subjects:
credit scoring
islamic online peer to peer lending
fintech
indonesia
Online Access:https://jimf-bi.org/index.php/JIMF/article/view/1184

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