Credit Card Fraud Detection: An Improved Strategy for High Recall Using KNN, LDA, and Linear Regression. [PDF]
Sensors (Basel), 2023 Chung J, Lee K.
europepmc +1 more source
Recent developments in the credit card market and the financial obligations ratio [PDF]
Credit cards ; Households - Economic ...
Kathleen W. Johnson
core
Why do banks reward their customers to use their credit cards? [PDF]
Using a unique administrative level dataset from a large and diverse U.S. financial institution, we test the impact of rewards on credit card spending and debt. Specifically, we study the impact of cash-back rewards on individuals before and during their
Anna Lunn +2 more
core
Information Sharing and Credit Rationing: Evidence from the Introduction of a Public Credit Registry
We provide the first evidence on how the introduction of information sharing via a public credit registry affects banks’ lending decisions. We employ a unique dataset containing detailed information on credit card applications and decisions from one of ...
Degryse, H.A., Cheng, X.
core
What is the value of recourse to asset backed securities? A clinical study of credit card banks [PDF]
The present paper uses data from revolving credit card securitizations to show that, conditional on being in a position where implicit recourse has become necessary and actually providing that recourse, recourse to securitized debt may benefit short- and
Joseph R. Mason, Eric J. Higgins
core
The reaction of consumer spending and debt to tax rebates; evidence from consumer credit data [PDF]
The authors use a new panel data set of credit card accounts to analyze how consumers responded to the 2001 federal income tax rebates. They estimate the monthly response of credit card payments, spending, and debt, exploiting the unique, randomized ...
Nicholas Souleles +2 more
core +4 more sources
A systematic review of literature on credit card cyber fraud detection using machine and deep learning. [PDF]
PeerJ Comput Sci, 2023 Marazqah Btoush EAL +5 more
europepmc +1 more source
A discrete choice approach to model credit card fraud
This paper analyses the demographic, socio-economics and banking specific determinants that influence the risk of fraud in a portfolio of credit cards. The data are from recent account archives for cards issued throughout Italy.
Paba, Antonello, Pulina, Manuela
core
How do you pay? The role of incentives at the point-of-sale [PDF]
This paper uses discrete-choice models to quantify the role of consumer socioeconomic characteristics, payment instrument attributes, and transaction features on the probability of using cash, debit card, or credit card at the point-of-sale.
Arango, Carlos +2 more
core
CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network. [PDF]
PeerJ Comput Sci, 2023 Zhao X, Guan S.
europepmc +1 more source