Predicting Credit Card Frauds in India: An Empirical Investigation

Authors

  • Lokendra Puri Department of Management Studies, Indian Institute of Information Technology Allahabad Prayagraj, India
  • Ranjit Singh Department of Management Studies, Indian Institute of Information Technology Allahabad Prayagraj, India
  • Rafiqul Bhuyan Department of Accounting and Finance, Alabama A&M University, AL, USA

DOI:

https://doi.org/10.32479/ijefi.17666

Keywords:

Bank Customers, Credit Card Fraud, Digital Transaction, Discriminant Analysis, Machine Learning

Abstract

This study attempts to predict credit card fraud and to know the factors responsible for credit card fraud. Using primary data of 7,500 credit card holders, collected using a questionnaire, this study conducts statistical analysis using discriminant analysis method. It is observed that variables, such as distance from home, distance from the last transaction, ratio to the median purchase price, used chip, used PIN for the transaction, and online order are significant factors in contributing to credit card fraud.

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Published

2024-12-06

How to Cite

Puri, L., Singh, R., & Bhuyan, R. (2024). Predicting Credit Card Frauds in India: An Empirical Investigation. International Journal of Economics and Financial Issues, 15(1), 17–23. https://doi.org/10.32479/ijefi.17666

Issue

Vol. 15 No. 1 (2025)

Section

Articles
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