Modeling of Investment Processes by Methods of Regression Analysis

DOI

10.2991/smtesm-19.2019.82How to use a DOI?

Keywords

investments, economic indicators, modeling, regression

Abstract

The article presents developed models of the influence of indicators of economic, separately construction and tourism spheres on the total amount of capital investments in Khmelnytsky region. For each group of indicators, from 5 to 9 single- and multi-factor models that reflect the degree of influence of certain variables on capital investments in the region. The developed models made it possible to conclude that the investment sphere depends on the economic, construction and tourism indicators of the region. Some models have shown a low level of correlation, other built models of investment processes are qualitative, adequate and reflect the real impact of the selected factors on the resulting indicator and can be used for further forecasting.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Olena Ovchynnikova
AU  - Tetiana Zavhorodnia
AU  - Maria Ignatyshyn
PY  - 2019/09
DA  - 2019/09
TI  - Modeling of Investment Processes by Methods of Regression Analysis
BT  - Proceedings of the 6th International Conference on Strategies, Models and Technologies of Economic Systems Management (SMTESM 2019)
PB  - Atlantis Press
SP  - 420
EP  - 425
SN  - 2352-5428
UR  - https://doi.org/10.2991/smtesm-19.2019.82
DO  - 10.2991/smtesm-19.2019.82
ID  - Ovchynnikova2019/09
ER  -