APPLYING THE MACHINE LEARNING METHOD IN PREDICTING BUSINESS WINNERS VS. LOSERS THROUGH FINANCIAL REPORTS

Slobodan Stanojević; Nenad Đorđević; Dejan Volf

doi:10.5937/

Authors

Slobodan Stanojević Modern Business School, Belgrade Author
Nenad Đorđević SO Đorđević, Shopping Mall Medaković, Belgrade Author
Dejan Volf University Business Accademy, Novi Sad Author

DOI:

https://doi.org/10.5937/

Keywords:

financial reports, winners vs. losers, prediction, ratio indicators, machine learning

Abstract

Predicting the management of Serbia’s economy is of great importance for investment activities which generate growth and development of a country. Official public data on the results of Serbia’s economy management are a necessary and sufficient basis for a fundamental analysis of financial reports in the field of prediction, as well as detecting potential losers vs. winners in the economy. The article performs an analysis of key ratio indicators that detect in a predictive fashion business losers or winners by applying artificial intelligence or machine learning (Data Mining). Quantitative analysis by way of machine learning is applied on balance sheets and income statements, more accurately from a representative sample of about 600 companies which are analyzed with significant results of absolute accuracy.

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