Fraud Risk Prediction in Merchant-Bank Relationship using Re Modeling Agarwal, Nishant.

By: Agarwal, Nishant
Material type: ArticleArticlePublisher: 2014Description: 67 - 76Subject(s): Logistic Regression | Fraud Risk Management | Risk Management | Acquiring Bank | Merchant Risk In: Vikalpa: The Journal for Decision MakersSummary: Banks in the credit card business face financial risk which can be caused by either the card holders or the merchants. This paper focuses on a very specific aspect of financial risk, known as the fraud risk, posed by the merchants to their respective acquiring banks. A data-driven solution is created which explains the relationship of merchants and their acquiring banks from a fraud risk perspective and acts as an Early Warning System for the management.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Call number Vol info Status Date due Barcode
Articles Articles Ahmedabad (HO)
(Browse shelf) Vol. 39, Issue. 3 Available 018445

Banks in the credit card business face financial risk which can be caused by either the card holders or the merchants. This paper focuses on a very specific aspect of financial risk, known as the fraud risk, posed by the merchants to their respective acquiring banks. A data-driven solution is created which explains the relationship of merchants and their acquiring banks from a fraud risk perspective and acts as an Early Warning System for the management.

There are no comments on this title.

to post a comment.

Copyrights © EDII Library and Information Centre 2024. All Right Reserved

Free Hit Counter