Diagnostics of Monetary Assets of Ukrainian Agribusiness Entities: Relevance, Peculiarities, and the Process of Algorithm Construction
Abstract
The purpose of the article is to provide the scientific ground of the organizational and methodological aspects and the construction of algorithm for the monetary assets (including mixed assets) diagnostics for the agrarian entities. The findings are to be based on the complementary synthesis of the dominant principles of the diagnostic process. Their practical implementation will allow a reliable assessment of the assets as well as to identify in a timely manner the influence of the external and internal factors of destructive nature. The application of cog.nitive economic and mathematical methods will provide a prediction of the financial result, clear definition of prospective managerial initiatives and outline the strategic scenario for the development of agribusiness entities.
Violation of payment discipline, the decrease of funds mobility of Ukrainian agribusiness entities and deterioration of the basic parameters of their financial condition is proven to occur under the current situation.
The necessity of using diagnostics as an efficient management mechanism is substantiated. The algorithm of the diagnostic process of monetary assets (including mixed assets) is developed, which structural decomposition represents the integrity of the preparatory, research and final stages.
References
[2] Matviychuk, A. 2010. Modeling of financial sustainability of enterprises applying fuzzy logic theories, neural networks and discriminant analysis. Visn. NAN Ukrainyk, 9: 24-26.
[3] Proskurina, N. 2014. Reserve of doubtful debts: improvement of calculation methodology. Naukovi zapysky Natsionalnogo universytetu “Ostrozka academia”. Seria: Ekonomika, 25: 195-199.
The Copyright Transfer Form to ASERS Publishing (The Publisher)
This form refers to the manuscript, which an author(s) was accepted for publication and was signed by all the authors.
The undersigned Author(s) of the above-mentioned Paper here transfer any and all copyright-rights in and to The Paper to The Publisher. The Author(s) warrants that The Paper is based on their original work and that the undersigned has the power and authority to make and execute this assignment. It is the author's responsibility to obtain written permission to quote material that has been previously published in any form. The Publisher recognizes the retained rights noted below and grants to the above authors and employers for whom the work performed royalty-free permission to reuse their materials below. Authors may reuse all or portions of the above Paper in other works, excepting the publication of the paper in the same form. Authors may reproduce or authorize others to reproduce the above Paper for the Author's personal use or for internal company use, provided that the source and The Publisher copyright notice are mentioned, that the copies are not used in any way that implies The Publisher endorsement of a product or service of an employer, and that the copies are not offered for sale as such. Authors are permitted to grant third party requests for reprinting, republishing or other types of reuse. The Authors may make limited distribution of all or portions of the above Paper prior to publication if they inform The Publisher of the nature and extent of such limited distribution prior there to. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in The Paper. This agreement becomes null and void if and only if the above paper is not accepted and published by The Publisher, or is with drawn by the author(s) before acceptance by the Publisher.