Terentev O.M.

Analysis of Investment and Socio-Economic Indicators Using the Methods of Modeling for the Limited Historical Data Sets

In this paper, we analyze the development of economic region of Ukraine using statistical data. Specific features of mathematical models construction techniques for analysis and short- and medium term forecasting of regional macroeconomic processes are considered. We study the approaches to constructing mathematical models with short time series and using intellectual data analysis techniques such as principal component method, Bayesian networks, and regression with lagged variables, extended autoregression and trend polynomials.

Decision support system based for analysis of financial data

In this paper, the basic features of financial analysis of an enterprise are considered, and the technology of the financial data analysis based on the integrated approach is proposed. We also show that this technology can be applied by giving the examples of sales analysis and performing the future forecasts as well as estimating defaults of credit borrowers. Moreover, we highlight the architecture of the proposed information system of decisionmaking support for the commercial bank.