Integral Assessment of the Effectiveness of Investment Projects on the Basis of Econometric Methods
The objective of the article is the solution of the problem of theoretical foundation and methodical support of the formation of an integrated evaluation of investment projects on the basis of econometric methods. The result of the study is the development of the recommendations for the evaluation of the effectiveness of investment projects with the use of econometric methods that help to influence the value of the net present impact, profitability index, internal rate of return, payback period of the most significant factors that are crucial for the project both at the stage of development and at the stage of implementation. These factors have been determined on the basis of multifactorial regression models. In the following paper we present a novel approach to unstructured data processing by imposing a hierarchical graph-based structure on the data and decomposing it into separate subgraphs according to optimization criteria. In the scope of the paper we also consider the problem of automatic classification of textual data for the synthesizing the hierarchical data structure. The proposed approach uses textual information on the first stage to classify ideas, innovations, and objects of intellectual property (OIPs) to construct a multilayered graph. Numerical criteria are used to decompose constructed graph into separate subgraphs. In the scope of the research we apply the developed approach to the innovative ideas in a management case study.