Forecasting of financial flows in business systems taking into account the risk and uncertainty of interaction
Анотація
There is developed a system-dynamic model for predicting the financial flows of an enterprise taking into account the risk and uncertainty of interaction. The model is implemented at an experimental level in the environment of imitation modeling Powersim Studio 7. The model foresees the regulation block of random factors affecting the interaction processes in the financial management system. The application of finite-difference equations of a general type in a system-dynamic model for the analysis of financial flows, taking into account the risk of interaction and uncertainty, is theoretically justified. The simulation algorithm includes the switches of control, which makes the developed model an adaptive decision-making support tool for managing financial flows in a complex economic system.
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