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MODELS OF ESTIMATION IN THE MECHANISM OF EARLY INFORMING AND PREVENTION OF FINANCIAL CRISES IN CORPORATE SYSTEMS

Authors: T. S. Klebanova; V. S. Gvozdytskyi; S. V. Labunska; I. V. Yermachenko;

MODELS OF ESTIMATION IN THE MECHANISM OF EARLY INFORMING AND PREVENTION OF FINANCIAL CRISES IN CORPORATE SYSTEMS

Abstract

The paper is devoted to the problem of improving the efficiency of financial management of corporate systems based on the implementing of the mechanisms of early informing and prevention of financial crises. The proposed model basis of the mechanism includes the following modules: a module for analyzing the financial condition of the corporation, a module for analyzing the financial condition of subsidiaries, a module for evaluation the impact of the financial crisis on the financial condition of the corporation as a whole, and the crisis management module. Particular attention is paid to the modules for estimation the financial condition of the corporation and of its subsidiaries. The possibilities of using the neuro-fuzzy approach to estimate the threat of financial crisis forming at subsidiaries and the corporation as a whole are explored. The obtained results showed the high predictive accuracy of the developed neural-fuzzy models and the expediency of their application in the financial activity of the corporations.

Keywords

Economics as a science, estimation, prevention, HF5001-6182, corporate system, financial crisis, neuro-fuzzy models, Business, HB71-74

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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
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