PRINCIPAL COMPONENT ANALYSIS IN THE FORECASTING BANKRUPTCY OF ENTERPRISES

Vitalii MAZHARA, Vasyl MOSKALENKO

Abstract


Bankruptcy forecasting is one of the most studied subjects in accounting and finance. There are numerous articles, books, and research on finding the best method to predict possible future financial problems. This article examines Altman's (1968) multidimensional method, or Z-score, is one of the most ancient methods of predicting bankruptcy.

But given the fact that the economic situation in Ukraine is just beginning to stabilize, bankruptcy and liquidation of enterprises may destroy newly formed economic relations, which will lead to destabilization of the economy. In this regard, the problem of bankruptcy as a system of measures to remove an entity from the financial crisis is becoming more urgent . Insufficient and incomplete legislative and methodological normative framework for bankruptcy and the lack of a single coherent methodological tech approach to its financial and economic content and constrain the mechanism of implementing measures for bankruptcy in Ukrainian enterprises.


Keywords


Altman's Z-score, bankruptcy forecasting, multidimensional method, solvency, insolvency, diagnostics, enterprise, monitoring, principal component method

References


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