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Credit card fraud is assuming growing proportions as a major threat to the financial position of American household, leading to unpredictable changes in household economic behavior. To solve this problem, in this paper, a new hybrid…

Machine Learning · Computer Science 2025-09-25 Zhuqi Wang , Qinghe Zhang , Zhuopei Cheng

Credit card plays a very important rule in today's economy. It becomes an unavoidable part of household, business and global activities. Although using credit cards provides enormous benefits when used carefully and responsibly,significant…

Cryptography and Security · Computer Science 2016-11-22 SamanehSorournejad , Zahra Zojaji , Reza Ebrahimi Atani , Amir Hassan Monadjemi

Recommendation systems rely on user-provided data to learn about item quality and provide personalized recommendations. An implicit assumption when aggregating ratings into item quality is that ratings are strong indicators of item quality.…

Information Retrieval · Computer Science 2023-07-27 Rana Shahout , Yehonatan Peisakhovsky , Sasha Stoikov , Nikhil Garg

Fintech lending has become a central mechanism through which digital platforms stimulate consumption, offering dynamic, personalized credit limits that directly shape the purchasing power of consumers. Although prior research shows that…

General Economics · Economics 2025-09-04 Cheuk Hang Leung , Yijun Li , Qi Wu

A payment card (such as debit or credit) is one of the most convenient payment methods for purchasing goods and services. Hundreds of millions of card transactions take place across the globe every day, generating a massive volume of…

Machine Learning · Computer Science 2020-09-09 Himel Dev , Hossein Hamooni

We study a simple, solvable model that allows us to investigate effects of credit contagion on the default probability of individual firms, in both portfolios of firms and on an economy wide scale. While the effect of interactions may be…

Physics and Society · Physics 2008-12-02 J. P. L. Hatchett , R. Kuehn

With the increase of credit card usage, the volume of credit card misuse also has significantly increased. As a result, financial organizations are working hard on developing and deploying credit card fraud detection methods, in order to…

Machine Learning · Computer Science 2019-12-09 Niloofar Yousefi , Marie Alaghband , Ivan Garibay

This paper empirically evaluates whether adopting a common currency has changed the level of consumption smoothing of euro area member states. We construct a counterfactual dataset of macroeconomic variables through the synthetic control…

General Economics · Economics 2022-05-17 Alessandro Ferrari , Anna Rogantini Picco

The debiting process of the remarkable properties materials can be managed through unconventional technologies as the complex electrical erosion. We present the modeling of the previous experimental results to obtain a mathematical…

Other Computer Science · Computer Science 2009-06-05 Tiberiu Marius Karnyanszky , Mihai Titu

In observational study, the propensity score has the central role to estimate causal effects. Since the propensity score is usually unknown, estimating by appropriate procedures is an indispensable step. A point to note that a causal effect…

Methodology · Statistics 2023-01-19 Shunichiro Orihara

Of late, in order to have better acceptability among various domain, researchers have argued that machine intelligence algorithms must be able to provide explanations that humans can understand causally. This aspect, also known as…

Machine Learning · Computer Science 2022-08-24 Satyam Kumar , Vadlamani Ravi

Consumption is a primary source of economic growth and key indicator of poverty. The establishment of community banks can provide credit resources, unlocking household consumption potential and playing a crucial role in economic…

General Economics · Economics 2025-02-21 Yan Li

Assessment of risk levels for existing credit accounts is important to the implementation of bank policies and offering financial products. This paper uses cluster analysis of behaviour of credit card accounts to help assess credit risk…

Statistical Finance · Quantitative Finance 2019-02-13 Maha Bakoben , Tony Bellotti , Niall Adams

This paper presents two cases of random banking data generators based on migration matrices and scoring rules. The banking data generator is a new hope in researches of finding the proving method of comparisons of various credit scoring…

Risk Management · Quantitative Finance 2011-05-17 Karol Przanowski

Operational disruptions in retail payments can induce behavioral responses that outlast technical recovery and may amplify liquidity stress. We propose a multi-agent model linking card payment outages to trust dynamics, channel avoidance,…

Computer Science and Game Theory · Computer Science 2026-02-19 Masoud Amouzgar

Extensive research shows that consumers are generally averse to price discrimination. However, instruments of differential pricing can benefit consumer surplus and alleviate inequity through targeted price discounts. This paper examines how…

General Economics · Economics 2024-04-05 Alexander Erlei , Mattheus Brenig , Nils Engelbrecht

Machine learning has opened up new tools for financial fraud detection. Using a sample of annotated transactions, a machine learning classification algorithm learns to detect frauds. With growing credit card transaction volumes and rising…

Machine Learning · Computer Science 2022-08-26 Gayan K. Kulatilleke

Credit card fraud causes significant financial losses and frequently occurs as fraud attack, defined as short-term sequence of fraudulent transactions associated with high transaction rates and amounts, business areas historically tied to…

Optimization and Control · Mathematics 2025-03-27 Alexander Stotsky

Whilst academic, commercial and policy literature on financial exclusion is extensive and wide-ranging, there have been very few attempts to quantify and measure localised financial exclusion anywhere in the world. This is a subject of…

General Finance · Quantitative Finance 2022-02-14 George Sullivan , Luke Burns

This study critically examines the methodological rigor in credit card fraud detection research, revealing how fundamental evaluation flaws can overshadow algorithmic sophistication. Through deliberate experimentation with improper…

Machine Learning · Computer Science 2025-11-11 Khizar Hayat , Baptiste Magnier