New solutions for assessing insolvency risk in comercial organizations

In the context of continuous crises that have occurred in the last decade, effective solutions to reduce risks and introduce effective controls into the financial management process in commercial organizations are extremely important. In order to give a new impetus to sustainable economic growth, it is necessary to prioritize the implementation of large-scale reforms, the difficult fiscal situation in a large number of countries, the problems associated with a decrease in the solvency of commercial organizations in the real sector of the economy also require a comprehensive regulatory solution. The main purpose of this article is to offer solutions for controlling financial risks, in particular, for predicting the risk of insolvency, in the context of new ideas of financial management. Alternative methods for assessing the financial condition of commercial organizations, which also include the assessment of solvency, are based on more complex calculations, algorithms and the principle of joint application of a number of methods. From this point of view, a number of researchers in modern conditions prefer cluster analysis. A new approach to assessing and predicting insolvency risks, proposed as a scientific innovation, provides an opportunity to implement new progressive ideas of financial management in commercial organizations

Development of model for forecasting and controlling the debt burden in a commercial organization

The COVID-19 pandemic has had a significant negative impact on the state of commercial organizations in the real sector. Therefore, the development of new solutions in forecasting and monitoring the functioning of organizations and their implementation in practice are vital to overcome the crisis. The main purpose of this article is to specify the marginal ranges of indicators of the debt burden of a particular commercial organization characterizing the correlation between the components of capital structure and indicators characterizing the level of security of liabilities with the assets of the organization on the basis of the results of prediction of the developed training model of the behavioral theory of capital by the method of matrices. One of the main advantages of the proposed approach is the determination of marginal ranges in line with the predicted preferred variants of liabilities for the sets of indicators assessing the debt burden. Within the scope of this article, this method has been carried out for an Armenian brandy company “Proshyan Brandy Factory” LLC. Using this model will, in the future, enable to determine common marginal ranges of indicators underlying the development of financial policy for a particular commercial organization in terms of the components of solvency, liquidity, business activity, profitability and creditworthiness

Development of model for forecasting and controlling the debt burden in a commercial organization

The COVID-19 pandemic has had a significant negative impact on the state of commercial organizations in the real sector. Therefore, the development of new solutions in forecasting and monitoring the functioning of organizations and their implementation in practice are vital to overcome the crisis. The main purpose of this article is to specify the marginal ranges of indicators of the debt burden of a particular commercial organization characterizing the correlation between the components of capital structure and indicators characterizing the level of security of liabilities with the assets of the organization on the basis of the results of prediction of the developed training model of the behavioral theory of capital by the method of matrices. One of the main advantages of the proposed approach is the determination of marginal ranges in line with the predicted preferred variants of liabilities for the sets of indicators assessing the debt burden. Within the scope of this article, this method has been carried out for an Armenian brandy company “Proshyan Brandy Factory” LLC. Using this model will, in the future, enable to determine common marginal ranges of indicators underlying the development of financial policy for a particular commercial organization in terms of the components of solvency, liquidity, business activity, profitability and creditworthiness