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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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OPTIMIZATION OF THE SYSTEM OF FINANCIAL COEFFICIENTS IN EARLY DETECTION OF SIGNS OF BANKRUPTCY

Authors: Karbaeva Dilnoza Alimdjanovna; Worldy Knovledge Publishing Centre;

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

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average