QUANTITATIVE ANALYSIS OF FINANCIAL STATEMENT FRAUD IN UZBEK BANKS: PATTERNS, RED FLAGS, AND RISK INDICATORS
DOI:
https://doi.org/10.5281/zenodo.17443869Keywords:
Banking sector in Uzbekistan, Benford’s Law analysis, Financial statement fraud detection, Forensic accounting techniques, Quantitative fraud analysis, Z-score fnancial analysis.Abstract
This study investigates fnancial statement fraud risk in Uzbekistan’s banking sector through quantitative analysisof fve major banks from 2018 to 2023. By applying Z-score analysis, Benford’s Law, and correlation testing to publicly
available fnancial data, the research identifes statistical anomalies, red flags, and inconsistent reporting patterns. Notable
fndings include extreme fluctuations in return metrics, suspicious proft growth rates, and deviations from expected
digit distributions. While the study does not confrm 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 fnancial
oversight tools and support efforts to enhance transparency and governance in Uzbekistan’s fnancial institutions.
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