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Fraud Risk Prediction in Merchant-Bank Relationship using Re Modeling
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 create...
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| Format: | Article |
| Language: | English |
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2014
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| Subjects: |
| LEADER | 01007nab a22001817a 4500 | ||
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| 008 | 160615b2014 xxu||||| |||| 00| 0 eng d | ||
| 100 | |a Agarwal, Nishant | ||
| 245 | |a Fraud Risk Prediction in Merchant-Bank Relationship using Re Modeling |c Agarwal, Nishant. | ||
| 260 | |c 2014 | ||
| 300 | |a 67 - 76 | ||
| 520 | |a 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. | ||
| 650 | |a Logistic Regression | ||
| 650 | |a Fraud Risk Management | ||
| 650 | |a Risk Management | ||
| 650 | |a Acquiring Bank | ||
| 650 | |a Merchant Risk | ||
| 773 | |a Vikalpa: The Journal for Decision Makers |d July-September | ||
| 999 | |c 41978 |d 41978 | ||