Yashina M.L.Ulyanovsk State Agricultural Academy named after P.A. Stolypin, Ulyanovsk, Russian Federation may1978.78@mail.ru
Neif N.M.Ulyanovsk State Agricultural Academy named after P.A. Stolypin, Ulyanovsk, Russian Federation neifnm@mail.ru
Importance Most regression and discriminant models and scientific research methods take much time to make a sound conclusion on the solvency of the possible borrower. It is reasonable to devise an economic and mathematical model for a prompt analysis of agricultural entities' solvency in line with their specifics. Objectives The research outlines a model for a rapid analysis of corporate solvency that would consider the specifics of agricultural production and allow determining the solvency class of the would-be borrower. Methods We take into account mandatory financial coefficients in line with industrial and organizational specifics of agricultural producers. We also determined the borrower's solvency limits broken down by three classes. The research is based on MS Excel and STATISTICA software applications. Results The model for prompt analysis of solvency is based on the equity ratio and quick ratio, considering the specifics of agricultural production and helps to decide whether it is possible to obtain a loan or the entity's financial standing should be mended. Conclusions and Relevance The model has been devised using the regional corpus of factual data, being reliable and reasonable. If the model is used to assess the financial position of the agricultural entity and identify solvency factors, it will help credit institution to take adequate lending decisions, while agricultural entities may plan stabilizing measures to handle the factors.
Keywords: lending, solvency, ratio analysis, modeling, agricultural production
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