Innovation Science and Technology 5, pp. 145-151.
ISSN/ISBN: Not available at this time. DOI: 10.5281/zenodo.17443869
Abstract: This study investigates financial statement fraud risk in Uzbekistan’s banking sector through quantitative analysis of five major banks from 2018 to 2023. By applying Z-score analysis, Benford’s Law, and correlation testing to publicly available financial data, the research identifies statistical anomalies, red flags, and inconsistent reporting patterns. Notable findings include extreme fluctuations in return metrics, suspicious profit growth rates, and deviations from expected digit distributions. While the study does not confirm fraud, it highlights areas of elevated risk and provides a replicable methodology for fraud detection in emerging markets. These results contribute to the development of preventive financial oversight tools and support efforts to enhance transparency and governance in Uzbekistan’s financial institutions.
Bibtex:
@article{,
author = {Toni Heryana and Elis Mediawati},
title = {Quantitative Analysis of Financial Statement Fraud in Uzbek Banks: Patterns, Red Flags, and Risk Indicators},
year = {2025},
journal = {Innovation Science and Technology},
volume = {1},
number = {5},
pages = {145—151},
url = {https://ist-journal.uz/index.php/IST/article/view/146},
doi = {10.5281/zenodo.17443869},
}
Reference Type: Journal Article
Subject Area(s): Accounting, Economics