---
title: Credit Card Fraud Detection
url: https://www.ml-quant.com/papers/ssrn/4801244/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4801244
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801244
featured: 2024-04-24
citations: unknown
topic: Risk, Credit & Banking
---


# Credit Card Fraud Detection

A new study presents a tailored logistic regression model that can accurately detect credit card fraud, addressing issues of overfitting and underfitting.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4801244
- Identifier: SSRN 4801244
- Released: 2024-04-20
- First featured: Quant Letter No. 46 (2024-04-24): https://www.ml-quant.com/issues/2024-04-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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