Subject Calculating a three-component indicator of the type of financial situation is a financial standing evaluation stage. This indicator uses additional balance sheet items, and therefore, represents a more detailed assessment. However, it is poorly connected with the results of overall assessment of financial condition. Objectives The purpose is to determine the informational significance of the said indicator based on its correlation with scoring analysis estimates. Methods I employ methods of the expert systems theory, fuzzy sets, the analytic hierarchy process by T. Saaty, rank statistics, and correlation analysis. Results I introduce a coefficient of adequacy of own funding sources for stock cover and analyze its correlation with the results of overall evaluation of financial condition of the same enterprises based on the scoring analysis. To eliminate the ambiguity in the capital structure estimates, I offer a composite index instead of a set of separate coefficients. Its weighing coefficients are determined through the analytic hierarchy process. To register the impact of the three-component indicator, I suggest expanding the composite index by additional feature, i.e. the coefficient of adequacy, and demonstrate the efficiency of the expansion by computations. Conclusions The correlation of the three-component indicator with overall estimates of financial standing on the basis of scoring analysis was very weak. However, the offered technique shows that in some cases it is valuable. First of all, it is important for distressed enterprises having unsatisfactory prior estimates of capital structure.
Novoselova S.A., Istomina O.A. [Financial analysis at bankruptcy: Legislative aspects]. Agrarnyi nauchnyi zhurnal = The Agrarian Scientific Journal, 2014, no. 8, pp. 82–86. URL: Link (In Russ.)
Fedorova E.A., Chukhlantseva M.A., Chekrizov D.V. [Assessing the efficiency of enterprise bankruptcy prediction on the basis of the Russian legislation]. Finansy i kredit = Finance and Credit, 2017, vol. 23, iss. 13, pp. 732–746. (In Russ.) URL: Link
Khaidarshina G.A. [A complex model to assess bankruptcy risk]. Finansy = Finance, 2009, no. 2, pp. 67–69. URL: Link (In Russ.)
Bordeianu G.D. et al. Analysis Models of the Bankruptcy Risk. Economy Transdisciplinarity Cognition, 2011, vol. 16, iss. 1, pp. 248–259. URL: Link
Aleksandrova M.V., Proskurina Z.B. [Specific features of applying various techniques to prevent the bankruptcy of domestic enterprises]. Ekonomika, sotsiologiya i pravo = Economics, Sociology and Law, 2014, no. 3, pp. 12–14. URL: Link (In Russ.)
Lyubushin N.P., Cherkasova O.G. [Integration of approaches to analysis of business entities' stability]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2013, no. 34, pp. 2–7. URL: Link (In Russ.)
Boikova A.V. [Forecasting the possible bankruptcy of enterprises: Approaches and models]. Sovremennye nauchnye issledovaniya = Modern Scientific Researches, 2011, no. 3, p. 25. (In Russ.)
Anisimov A., Bashmakov D., Ustyukova V. [Current problems of legal regulation of rural producer's bankruptcy]. Khozyaistvo i pravo = Business and Law, 2013, no. 4, pp. 64–72. URL: Link (In Russ.)
Karpunin A. [Developing the techniques to forecast the risk of bankruptcy of organizations and their application in agriculture]. RISK: resursy, informatsiya, snabzhenie, konkurentsiya = RISK: Resources, Information, Supply, Competition, 2012, no. 4, pp. 397–401. (In Russ.)
Rygin V.E. [Bankruptcy risk assessment model for the steel companies]. Vestnik Yuzhno-Rossiiskogo gosudarstvennogo tekhnicheskogo universiteta (Novocherkasskogo politekhnicheskogo instituta). Ser.: Sotsial'no-ekonomicheskie nauki, 2013, no. 5, pp. 84–91. URL: Link_ groups_property_96.pdf (In Russ.)
Bogomolova I.P., Rukin B.P., Tepikina E.I. [Assessing the financial stability and solvency of industrial organizations]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2006, no. 19, pp. 5–6. URL: Link (In Russ.)
Berdnikov V.V., Gavel' O.Yu. [Comparative analysis of approaches in forecasting of company's bankruptcy probability]. Nauka i Mir = Science and World, 2014, no. 8, pp. 92–96. URL: Link-august_2.pdf (In Russ.)
Prudnikov A.G. et al. [Problems of rating of financial activity of managing subjects of agrarian sphere]. Politematicheskii setevoi elektronnyi nauchnyi zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta, 2016, no. 115(01), pp. 20–33. (In Russ.) URL: sj.kubsau.ru/2016/01/57.pdf
Kos'mina O.I. [Comparative characteristic of various techniques to diagnose financial condition of enterprises]. Sbornik nauchnykh trudov SevKavGTU. Ser. Ekonomika, 2010, no. 10, pp. 21–28. (In Russ.)
Lyubushin N.P., Babicheva N.E., Galushkina A.I., Kozlova L.V. [Analysis of methods and models of the evaluation of the financial stability of the organizations]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2010, no. 1, pp. 3–11. URL: Link (In Russ.)
Polyakov K., Polyakova M. The Role of Financial Factors Interactions in the Capital Structure Determination. Korporativnye finansy = Journal of Corporate Finance Research, 2016, no. 1. URL: Link
Alferina O.N., Kazakova S.V. [Analysis of structure of the capital and increase in financial stability of the enterprise]. Innovatsionnaya nauka = Innovative Science, 2015, no. 6, pp. 4–11. URL: Link (In Russ.)
Witten I.H., Frank E., Hall M.A. Data Mining: Practical Machine Learning Tools and Techniques. Burlington, Massachusetts, The Morgan Kaufmann Series in Data Management Systems, 2011, 664 p.
Chambers J.M. Software for Data Analysis: Programming with R. New York, NY, Springer, 2008, 514 p. URL: Link
Saaty T.L. Relative Measurement and Its Generalization in Decision Making. Why Pairwise Comparisons Are Central in Mathematics for the Measurement of Intangible Factors: The Analytic Hierarchy/Network Process. Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A. Matematicas, 2008, vol. 102, iss. 2, pp. 251–318. URL: Link
Bukharin S.V., Paraskevich V.V. [Increasing the efficiency of exposure to bankruptcy analysis under econometric methods]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2018, vol. 17, iss. 6, pp. 1178–1196. (In Russ.) URL: Link
Bukharin S.V., Mel'nikov A.V. Klasterno-ierarkhicheskie metody ekspertizy ekonomicheskikh ob"ektov: monografiya [Cluster and hierarchical methods to examine economic objects: a monograph]. Voronezh, Nauchnaya kniga Publ., 2012, 276 p.