Dub, Bohdana (2019): Complex assessment of Ukrainian agroholdings’ economic security. Published in: Bulletin of the Cherkasy Bohdan Khmelnytsky National University. Economic sciences No. 1 (2019): pp. 102-113.
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Abstract
Retrospective diagnostics of main financial results of activity (profit, earnings and yield of shares); business capital, market capitalization, EBITDA, operating margin and net profit margin, P / E, ROA, ROE, ROC as of 2018 and an average of 5 years; Consideration of Montier C-Score and Piotroski F-Score indicators on financial issues of companies; liquidity of the balance of agroholdings on the criterion of the ratio of assets and liabilities; the coefficient analysis of enterprises and the diagnosis of bankruptcy probabilities using models of multiple discriminant analysis (MDA model), logistic regression (Logit-model) and rating methods (Beaver's indicators and definition of the class of the potential beneficiary of the investment prokect) helped to formulate a generalized conclusion on the probability of bankruptcy according to models and a general assessment of the financial condition of agricultural companies. Based on the analysis, it has been determined that, according to all methods of the agroholding, the sample collectively generates a series from the highest to the lowest: MHP / Kernel, IMC, Agroton and Avangard. In view of this, it is necessary to formulate and continuously improve integrated risk management systems (integrated systems of enterprise economic security), rather than separate procedures at the level of different departments of the company.
Item Type: | MPRA Paper |
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Original Title: | Complex assessment of Ukrainian agroholdings’ economic security |
Language: | English |
Keywords: | agricultural holding’s economic security, profit, revenue, profitability, efficiency, EBITDA, liquidity, risk, bankruptcy, insolvency |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C65 - Miscellaneous Mathematical Tools M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M2 - Business Economics > M21 - Business Economics Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q13 - Agricultural Markets and Marketing ; Cooperatives ; Agribusiness |
Item ID: | 95148 |
Depositing User: | Bohdana Dub |
Date Deposited: | 18 Jul 2019 09:22 |
Last Modified: | 27 Sep 2019 16:15 |
References: | 1. The official website of MHP SE (2019). URL: https://mhp.com.cy/ 2. The official website of Avangard (2019). URL: https://avangardco.ua/ 3. The official website of Agroton (2019). URL: http://agroton.com.ua/en/ 4. The official website of IMC (2019). URL: http://www.imcagro.com.ua/ 5. The official website of Kernel (2019). URL: https://www.kernel.ua/ 6. The official website of MHP PrJSC (2019). URL: https://www.mhp.com.ua/en/ 7. Ivanov, N. S. (2010). Methods in effectiveness assessment of the enterprise economic security system. URL: http://intkonf.org/ivanova-ns-metodi-otsinki-efektivnosti-sistemi-ekonomichnoyi-bezpeki-pidpriemstva/ 8. Stockopedia (2019). URL: https://www.stockopedia.com/ 9. Investopedia (2019). URL: ttps://www.investopedia.com 10. BT Understanding Key Ratios (2019). URL: http://farmbiztrainer.com/docs/BT_Understanding_Key_Ratios.pdf 11. Farm Financial Ratios and Benchmarks (2009). URL: https://cdp.wisc.edu/pdf/FarmFinancialRatiosandBenchmarks3192009.pdf 12. Interpreting Farm Financial Ratios (2019). URL: https://www.cottoninc.com/wp-content/uploads/2015/12/Interpreting_Farm_Financial_Ratios.pdf 13. Key financial ratios (2019). URL: https://grdc.com.au/__data/assets/pdf_file/0016/117322/ 8116-key-financial-ratios-fs-pdf.pdf.pdf 14. Altman, E.I. (1968). Financial ratios, discriminant analysis, and the prediction of corporate bancruptcy. The Journal of Finance, 4, pp. 589-609. 15. Fulmer, J.G. Jr., Moon J. E., Gavin T.A., Erwin, M.J. (1984). A Bancruptcy Classification Model for small firms. Journal of Commercial Bank Lending, 7, рр. 25-37. 16. Taffler, R.J., Tisshaw H. (1977). Going, Going, Gone – Four Factors which Predict. Accountancy, 3, рр. 50-54. 17. Tereshchenko, O.O. (2003). Discriminant model for the integrated assessment of the enterprise financial condition. Economy of Ukraine, 8, p. 38-44. 18. Matviichuk, A.V. (2013). Fuzzy, neural network and discriminant models for diagnosing the bankruptcy possibility of enterprises. Neuro-fuzzy simulation technology in economics, 2, p. 71-118. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95148 |