Abstract
Evaluating the effectiveness of the implementation of an investment project is a key issue when making management decisions both at the stage of setting up a startup and for expanding an existing business. This paper reports a systematic approach to building a mathematical model to solve the task of forecasting the effectiveness of business projects, taking into account the influence of factors of the external economic environment. Proposed factors include the impact of supply and demand on the price of goods, political and industry risks, the volume of commodity supply and sales. In view of this, a method for calculating the political component of the discount coefficient using the Fourier series has been proposed. Using the theory of differential equations, correlation and regression analysis, a mathematical model for forecasting indicators of efficiency of business project implementation taking into account the influence of factors of the external economic environment has been constructed. Based on it, a generalized algorithm for applying a mathematical model to predict the effectiveness of investment projects in various business sectors has been developed. The results from applying differential equations and variable discount coefficient showed a decrease in NPV by 14 %, and PI by 5.1 %, due to more accurate consideration of the political component in calculating the discount factor. Also, with the influence of supply and demand on the price of goods and nonlinear cash flows, it was found that the payback period does not clearly indicate the effectiveness of the implementation of an investment business project. Determining these factors provides more accurate information to the investor or business owner when forecasting the stability of a business project for making management decisions on its implementation
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