OPTIMIZATION OF THE SYSTEM OF FINANCIAL COEFFICIENTS IN EARLY DETECTION OF SIGNS OF BANKRUPTCY

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Authors: Karbaeva Dilnoza Alimdjanovna, Worldy Knovledge Publishing Centre
Cited by: 0

Abstract

This article considers the issues of optimizing the system of financial coefficients in early detection of signs of bankruptcy of enterprises. During the study, modern models of bankruptcy prediction, including the discriminant analysis models of Altman, Springate, Taffler and Lis, as well as approaches adapted to the conditions of the national economy, were analyzed. An integrated system of financial stability, liquidity, profitability and business activity coefficients was developed. The forecasting efficiency of financial coefficients was assessed on the example of enterprises of the Republic of Uzbekistan. The results of the study showed that the optimized system of coefficients, taking into account the characteristics of the national economy, allows predicting the risk of bankruptcy with an accuracy of 85-90%. The developed methodology can be used in practice by enterprises, audit organizations and financial analysts.

Fields of Study & Subjects

Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Financial Analysis and Corporate Governance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 March 2026
Language
EN
Document type
Dataset