IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7389-d1136146.html
   My bibliography  Save this article

ROA and ROE Forecasting in Iron and Steel Industry Using Machine Learning Techniques for Sustainable Profitability

Author

Listed:
  • Mehmet Kayakus

    (Department of Management Information Systems, Faculty of Social Sciences and Humanities, Akdeniz University, Antalya 07058, Turkey)

  • Burçin Tutcu

    (Department of Accounting and Taxation, Korkuteli Vocational School, Akdeniz University, Antalya 07058, Turkey)

  • Mustafa Terzioglu

    (Department of Accounting and Taxation, Korkuteli Vocational School, Akdeniz University, Antalya 07058, Turkey)

  • Hasan Talaş

    (Department of Accounting and Taxation, Korkuteli Vocational School, Akdeniz University, Antalya 07058, Turkey)

  • Güler Ferhan Ünal Uyar

    (Department of Business Administration, Faculty of Economics and Administrative Sciences, Akdeniz University, Antalya 07058, Turkey)

Abstract

Return on equity (ROE) and return on assets (ROA) are important indicators that reveal the sustainability of a company’s profitability performance for both managers and investors. The correct prediction of these indicators will provide a basis for the strategic decisions made by the company managers. The estimation of these signs is a significant factor in supporting the decisions and up-to-date knowledge of potential investors. In this study, return on equity and return on assets were estimated using artificial neural networks (ANNs), multiple linear regression (MLR), and support vector regression (SVR) on the financial data of thirteen companies operating in the iron and steel sector. The success of predicting ROA in the designed model was 86.4% for ANN, 79.9% for SVR, and 74% for MLR. The success of estimating the ROE of the same model was 85.8% for ANN, 80.9% for SVR, and 63.8% for MLR. It is concluded that ANN and SVR can produce successful prediction results for ROA and ROE both accurately and reasonably.

Suggested Citation

  • Mehmet Kayakus & Burçin Tutcu & Mustafa Terzioglu & Hasan Talaş & Güler Ferhan Ünal Uyar, 2023. "ROA and ROE Forecasting in Iron and Steel Industry Using Machine Learning Techniques for Sustainable Profitability," Sustainability, MDPI, vol. 15(9), pages 1-14, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7389-:d:1136146
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7389/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7389/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Okwo Ifeoma Mary & Ugwunta David Okelue & Agu Sylvia Uchenna, 2012. "An Examination of the Factors that Determine the Profitability of the Nigerian Beer Brewery Firms," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(7), pages 741-750.
    2. Okwo Ifeoma Mary & Ugwunta David Okelue & Agu Sylvia Uchenna, 2012. "An Examination of the Factors that Determine the Profitability of the Nigerian Beer Brewery Firms," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(7), pages 741-750, November.
    3. Gehan A. Mousa & Elsayed A. H. Elamir & Khaled Hussainey, 2022. "Using machine learning methods to predict financial performance: Does disclosure tone matter?," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 19(1), pages 93-112, March.
    4. Marta Postu?a & Wojciech Chmielewski, 2019. "The Impact of Intangible Assets and R&D Expenditure on the Market Capitalization and EBITDA of Selected ICT Sector Enterprises in the European Union," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(8), pages 117-117, August.
    5. A.K. Sharma & Satish Kumar, 2011. "Effect of Working Capital Management on Firm Profitability," Global Business Review, International Management Institute, vol. 12(1), pages 159-173, February.
    6. Wang, Yung-Jang, 2002. "Liquidity management, operating performance, and corporate value: evidence from Japan and Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 12(2), pages 159-169, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emilia Herman & Kinga-Emese Zsido, 2023. "The Financial Sustainability of Retail Food SMEs Based on Financial Equilibrium and Financial Performance," Mathematics, MDPI, vol. 11(15), pages 1-26, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zheng, Xiaotian & Zhou, Youcheng & Iqbal, Sajid, 2022. "Working capital management of SMEs in COVID-19: role of managerial personality traits and overconfidence behavior," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 439-451.
    2. Muhammad Azeem Naz & Rizwan Ali & Ramiz Ur Rehman & Collins G. Ntim, 2022. "Corporate governance, working capital management, and firm performance: Some new insights from agency theory," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1448-1461, July.
    3. Najib H. S Farhan & Faozi A. Almaqtari & Ebrahim Mohammed Al-Matari & Nabil Ahmed M. SENAN & Waleed M. Alahdal & Saddam A. Hazaea, 2021. "Working Capital Management Policies in Indian Listed Firms: A State-Wise Analysis," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    4. Odunayo Magret Olarewaju & Mishelle Doorasamy & Titilayo Moromoke Oladejo, 2017. "Nexus of Working Capital Management and Firm Performance in Nigerian Food and Beverages Industries: A Link with Risk-Return Theory," Journal of Economics and Behavioral Studies, AMH International, vol. 9(1), pages 90-98.
    5. Brandenburg, Marcus, 2016. "Supply chain efficiency, value creation and the economic crisis – An empirical assessment of the European automotive industry 2002–2010," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 321-335.
    6. Satish Kumar, 2015. "The significance of working capital management and its components on SMEs performance - Evidence from India," Proceedings of International Academic Conferences 2503293, International Institute of Social and Economic Sciences.
    7. Dalci, Ilhan & Ozyapici, Hasan, 2018. "Working capital management policy in health care: The effect of leverage," Health Policy, Elsevier, vol. 122(11), pages 1266-1272.
    8. Ibrahim Danjuma & Mohammed Sangiru Umar & Dahiru Dauda Hammawa, 2015. "Mediating Effects of Cash Management in Relationship between Capital Structure and Liquidity in Small and Medium Enterprises," International Journal of Economics and Financial Issues, Econjournals, vol. 5(4), pages 995-1000.
    9. Wetzel, Philipp & Hofmann, Erik, 2019. "Supply chain finance, financial constraints and corporate performance: An explorative network analysis and future research agenda," International Journal of Production Economics, Elsevier, vol. 216(C), pages 364-383.
    10. Shikha Bhatia & Aman Srivastava, 2016. "Working Capital Management and Firm Performance in Emerging Economies: Evidence from India," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 41(2), pages 71-87, May.
    11. ManYing Kang & Marcel Ausloos, 2017. "An Inverse Problem Study: Credit Risk Ratings as a Determinant of Corporate Governance and Capital Structure in Emerging Markets: Evidence from Chinese Listed Companies," Economies, MDPI, vol. 5(4), pages 1-23, November.
    12. Chen, Catherine Huirong & Choy, Siu Kai & Tan, Yongxian, 2022. "The cash conversion cycle spread: International evidence," Journal of Banking & Finance, Elsevier, vol. 140(C).
    13. Malik, Zafar Ullah & Iqbal, Athar, 2012. "Affect of Working Capital Management on Firms Profitability in Sugar Industry of Pakistan," MPRA Paper 41436, University Library of Munich, Germany.
    14. Nida Shah, 2016. "The Impact of Working Capital Management on Firms Profitability in Different Business Cycles: Evidence from Pakistan," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 1(1), pages 58-70, March.
    15. Mohammad Reza Dalvi & Ebrahim Baghi, 2014. "Evaluate the Relationship between Company Performance and Stock Market Liquidity," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(1), pages 136-144, January.
    16. Afrifa, Godfred & Tingbani, Ishmael, 2017. "Working Capital Management, Cash Flow and SMEs’ Performance," MPRA Paper 82894, University Library of Munich, Germany, revised Oct 2017.
    17. Farahat Ragab Abdeltawab & Khairy Elgiziry, 2016. "Effect of Some Firms’ Internal Factors on Value in Emerging Markets: Evidence from the Egyptian Stock Market," Accounting and Finance Research, Sciedu Press, vol. 5(3), pages 1-87, August.
    18. Godfred Adjapong Afrifa & Ahmad Alshehabi & Ishmael Tingbani & Hussein Halabi, 2021. "Abnormal inventory and performance in manufacturing companies: evidence from the trade credit channel," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 581-617, February.
    19. Mafumbate J & Ndlovu U & Mafuka A & Gavhure P, 2017. "The Influence of Firm Specific Determinants on Financial Performance in the Power Industry," Journal of Economics and Behavioral Studies, AMH International, vol. 9(5), pages 18-28.
    20. Abudu Braimah & Yinping Mu & Isaac Quaye & Alhassan Abubakar Ibrahim, 2021. "Working Capital Management and SMEs Profitability in Emerging Economies: The Ghanaian Case," SAGE Open, , vol. 11(1), pages 21582440219, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7389-:d:1136146. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.