Modeling Forecasting the Financial Condition of Organizations

DOI

10.2991/aebmr.k.200312.291How to use a DOI?

Abstract

Subject of article is forecasting the financial condition of organizations. The work purpose is to improve existing and develop new methodological approaches to the analysis and forecasting of the financial condition of the enterprise. Study hypothesis is based on the assumption that the results of the analysis of the financial condition make it possible to formulate an appropriate financial policy and develop measures aimed at increasing the efficiency of use of financial resources of business entities, which involves use of economic and mathematical modeling, which is an experimental and applied methodology and allows the formation of an adequate forecast financial condition, as well as substantiate specific recommendations, ensuring the possibility of continuous operation of the enterprise in the future. Methodological foundations of a systematic approach and economic and mathematical modeling are applied: groupings, abstractions and comparisons - to determine the financial indicators needed to build predictive models of financial condition; regression analysis - to improve the integrated indicator and build economic and mathematical forecasting models. Proposed approaches and models for forecasting the financial condition can be used by financial analysts to develop strategic plans for the development of the enterprise and optimize the structure of financial resources.

Copyright

© 2020, 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/).

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TY  - CONF
AU  - E P Peshkova
AU  - S P Kyurdzhiev
AU  - A A Mambetova
PY  - 2020
DA  - 2020/03/17
TI  - Modeling Forecasting the Financial Condition of Organizations
BT  - Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020)
PB  - Atlantis Press
SP  - 2080
EP  - 2092
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200312.291
DO  - 10.2991/aebmr.k.200312.291
ID  - Peshkova2020
ER  -