A Review on Credit Card Default Modelling using Data Science
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2021, Vol 5, Issue 3
Abstract
In the last few years, credit card issuers have become one of the major consumer lending products in the U.S. as well as several other developed nations of the world, representing roughly 30 of total consumer lending USD 3.6 tn in 2016 . Credit cards issued by banks hold the majority of the market share with approximately 70 of the total outstanding balance. Bank’s credit card charge offs have stabilized after the financial crisis to around 3 of the outstanding total balance. However, there are still differences in the credit card charge off levels between different competitors. Harsh Nautiyal | Ayush Jyala | Dishank Bhandari "A Review on Credit Card Default Modelling using Data Science" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42461.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42461/a-review-on-credit-card-default-modelling-using-data-science/harsh-nautiyal
Authors and Affiliations
Harsh Nautiyal | Ayush Jyala | Dishank Bhandari
Keywords
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