Simulation Modelling of Financial Support for Agricultural Companies

Lyudmyla Shapoval () and Inna Perepelytsia ()
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Lyudmyla Shapoval: Kremenchuk Mykhailo Ostohradskyi National University, Kremenchuk, Ukraine
Inna Perepelytsia: Kremenchuk Mykhailo Ostohradskyi National University, Kremenchuk, Ukraine

Oblik i finansi, 2015, issue 3, 124-129

Abstract: Practical implementation of scientifically justified methodology of forecasting the volume of financial resources contributes to forming reserves of agricultural companies' profit maximizing. The article is to determine the projected volume of financial resources of agricultural company on the basis of a simulation model. There is grounded a simulation model and scenario of forecasting the financial resources of agricultural company on the basis of Monte Carlo method. Trend extrapolation method defines the basic functions of the profitability ratio of advanced capital and the degree of their approximation that revealed the projected trend of rational use of financial resources of agricultural company. The methods of simulation modelling of financial support of agricultural companies offered in the article allows managing increasing profits reserves more efficiently. During the study there are used methods of analysis and synthesis, Monte Carlo simulation modelling method, trend extrapolating method, scenario approach.

Keywords: forecasting; planning; financial resources; agricultural company; simulation modelling; development scenarios (search for similar items in EconPapers)
JEL-codes: G32 (search for similar items in EconPapers)
Date: 2015
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