The Application of Mathematical Modeling to Predict the Financial Health of Bussinesses

DOI

10.2991/febm-18.2018.67How to use a DOI?

Keywords

Financial health; Prediction models; Linear programming; Data envelompment analysis; Linear goal programming

Abstract

The prediction of the future state of the enterprises has an irreplaceable role in corporate management; this is often the difference between the existence of a business and its future termination. Therefore, it is appropriate for businesses to know sufficiently far ahead of time about possible business failures. For more than eighty years of research several dozen methods to predict the financial health of businesses have been developed. The first part of this paper focuses on their comprehensive classification. Apart from statistical methods aim of the paper is to define, describe and analyze the use of mathematical methods to predict financial health; to explore their advantages and disadvantages.

Copyright

© 2018, 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  - Tomas Kliestik
PY  - 2018/12
DA  - 2018/12
TI  - The Application of Mathematical Modeling to Predict the Financial Health of Bussinesses
BT  - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
PB  - Atlantis Press
SP  - 298
EP  - 302
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-18.2018.67
DO  - 10.2991/febm-18.2018.67
ID  - Kliestik2018/12
ER  -