Predicting Financial Performance in the IT Industry with Machine Learning: ROA and ROE Analysis DOI Creative Commons
Burçin Tutcu, Mehmet Kayakuş, Mustafa Terzioğlu

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7459 - 7459

Published: Aug. 23, 2024

IT is recognized as the engine of digital world. The fact that this technology has multiple sub-sectors makes it driving force economy. With these characteristics, sector becoming center attention investors. Considering investors prioritize profitability, becomes a top priority for managers to make accurate and reliable profitability forecasts. aim study estimate firms traded in Borsa Istanbul using machine learning methods. In study, financial data 13 listed Technology index operating between March 2000 December 2023 were used. Return on assets (ROA) return equity (ROE) estimated methods such neural networks, linear regression decision tree regression. results obtained reveal performance artificial networks (ANN) (MLR) are particularly effective.

Language: Английский

Predicting Financial Performance in the IT Industry with Machine Learning: ROA and ROE Analysis DOI Creative Commons
Burçin Tutcu, Mehmet Kayakuş, Mustafa Terzioğlu

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7459 - 7459

Published: Aug. 23, 2024

IT is recognized as the engine of digital world. The fact that this technology has multiple sub-sectors makes it driving force economy. With these characteristics, sector becoming center attention investors. Considering investors prioritize profitability, becomes a top priority for managers to make accurate and reliable profitability forecasts. aim study estimate firms traded in Borsa Istanbul using machine learning methods. In study, financial data 13 listed Technology index operating between March 2000 December 2023 were used. Return on assets (ROA) return equity (ROE) estimated methods such neural networks, linear regression decision tree regression. results obtained reveal performance artificial networks (ANN) (MLR) are particularly effective.

Language: Английский

Citations

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