Results 51 to 60 of about 1,287,610 (291)
Credit Card Redlining Revisited [PDF]
Finance and Economics Discussion Series, 2009 Using a proprietary dataset of credit bureau records, Cohen-Cole (2008) finds that banks set credit limits on revolving accounts based in part on the racial composition of the neighborhood in which each borrower resides. This paper evaluates the evidence presented in that working paper using the same proprietary database of credit bureau records.
openaire +3 more sources
The reaction of consumer spending and debt to tax rebates – evidence from consumer credit data [PDF]
, 2007 We use a new panel dataset of credit card accounts to analyze how consumer responded to the 2001 Federal income tax rebates. We estimate the monthly response of credit card payments, spending, and debt, exploiting the unique, randomized timing of the ...
Agarwal, Sumit +2 more
core +3 more sources
CREDIT CARD DELINQUENCY IN MALAYSIA
Buletin Ekonomi Moneter dan Perbankan, 2023 The objective of this paper is to investigate the influence of economic conditions and regulatory interventions as potential drivers of credit card delinquency in Malaysia.
Wai Leng Chia +3 more
doaj +1 more source
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Big Data and Cognitive ComputingIn the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Abdul Rehman Khalid +5 more
semanticscholar +1 more source
Applied Computational Intelligence and Soft Computing, 2022 The usage of credit cards is increasing daily for online transactions to buy and sell goods, and this has also increased the frequency of online credit card fraud.
Ajeet Singh +2 more
doaj +1 more source
Federated learning model for credit card fraud detection with data balancing techniques
Neural computing & applications (Print)In recent years, credit card transaction fraud has resulted in massive losses for both consumers and banks. Subsequently, both cardholders and banks need a strong fraud detection system to reduce cardholder losses.
Mustafa Abdul Salam +3 more
semanticscholar +1 more source
Credit-card fraud detection system using neural networks
˜The œinternational Arab journal of information technology, 2023 Recently, with the development of online transactions, the credit-card transactions begun to be the most prevalent online payment methods. Credit-card fraud refers to the use fake Credit-Cards to purchase goods without paying.
S. A. Balawi, Nojood Aljohani
semanticscholar +1 more source
IEEE AccessCurrently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest threat.
Zhichao Xie, Xuan Huang
doaj +1 more source
Antecedents of credit card usage behaviour: An Indian perspective
Cogent Economics & Finance, 2023 The use of credit cards is closely connected to how well someone is doing financially. It has been associated with behaviors like excessive shopping and materialism. In India, there has been a recent increase in the number of credit cards issued.
Sriram K.V +3 more
doaj +1 more source
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
IEEE AccessDeep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art methods used to analyse and detect complex patterns in large ...
Ibomoiye Domor Mienye, N. Jere
semanticscholar +1 more source