Financial crisis of real sector enterprises: an integral assessment


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Successful crisis resolution of the enterprise depends heavily on its timely detection, which is facilitated by the use of forecasting models. This allows understanding the scale of the problems in a timely manner and developing the appropriate measures, applying various financial mechanisms to prevent it, and in case of occurrence, reducing the amount of losses. In this context, it is important to choose the most optimal informational model that would provide the most objective forecasts, considering the financial activity peculiarities of the analyzed enterprise. Given a wide list of models that predict the financial crisis, there is a need to analyze and select the most accurate model for enterprises in the real economy. Ten Ukrainian machine builders are used to assess the bankruptcy probability using the most popular models; a taxonomic analysis was carried out, which allows systematizing a large amount of data and analyzing their impact on enterprise development. An integral index was determined, which allowed predicting the financial performance dynamics. For each enterprise, ten indicators were used characterizing their financial state for the period 2014–2018. It is substantiated that the selected models differ from each other by the set of initial data and the number of coefficients from four to seven. It is also determined that the efficient use of studied models is quite different; so when choosing a model to predict the bankruptcy probability, it is necessary to consider the peculiarities of the enterprise’s production activity, the accuracy in creating the financial statements and many other factors, including the presence of company’s shares in circulation at the stock market. It is worthwhile to use a taxonomic analysis to make a comprehensive comparison of the enterprise financial state and to substantiate the final choice of the bankruptcy forecasting model.

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    • Figure 1. Growth rates of the production value of the manufacture of machinery and equipment
    • Figure 2 . Dynamics of the Ukrainian machine builders’ integral values according to models being studied (2014–2018)
    • Figure 3. Dynamics of the taxonomy index change of machine-building enterprises for 2014–2018
    • Table 1. Summary of business assessment results*
    • Table A1. Normalized matrix of indicators of enterprises’ financial capacity for 2014–2018
    • Table B1. The distance between indicators and reference vector of machine-building enterprises of Ukraine for 2014–2018
    • Table C1. An integral indicator of taxonomy of Ukrainian machine-building enterprises for 2014–2018