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Academia Open

Business and Economics

Vol 9 No 2 (2024): December

Highlighting the Urgent Need for Reforms in the Face of Financial Failures at State-Owned Enterprises in Iraq
Menyoroti Kebutuhan Mendesak untuk Reformasi dalam Menghadapi Kegagalan Keuangan pada Perusahaan Milik Negara di Irak



(*) Corresponding Author
DOI
https://doi.org/10.21070/acopen.9.2024.10299
Published
October 14, 2024

Abstract

General Background: The financial analysis of companies' reports is critical for assessing their past performance, forecasting future results, and identifying operational strengths and weaknesses. Specific Background: Financial failure, which occurs when a company cannot generate adequate returns to cover costs and capital expenses, poses significant risks to stakeholders. For state-owned companies, the implications of financial failure are especially profound, given their integral role in national economies, such as Iraq's. Knowledge Gap: There is limited understanding of the extent to which state-owned companies in Iraq utilize financial analysis to predict financial failure, particularly in the context of economic transitions and privatization pressures. Aims: This study aims to evaluate the dependence of Iraqi state-owned companies on financial analysis as a predictive tool for financial distress and to identify the key factors contributing to their financial failures. Results: The research reveals that 42% of the companies examined have experienced financial failure, as measured by the Argenti index. Contributing factors include employment challenges, insufficient financing, and the transition from a socialist to a capitalist economy, which has left companies vulnerable to privatization. Novelty: The study provides novel insights into how economic transition impacts the financial stability of state-owned companies, highlighting the practical application of the Argenti index in diagnosing financial weaknesses. Implications: The findings underscore the urgent need to support state-owned enterprises by revitalizing the industrial sector, improving administrative efficiency, and adopting more systematic financial analysis tools. Additionally, the research recommends creating an accessible information center for investors and creditors, which would enhance transparency and support decision-making. This approach could help mitigate financial distress and attract new investment, ultimately contributing to Iraq’s economic recovery.

Highlights:

 

  1. Financial analysis helps predict failures in state-owned companies.
  2. 42% of companies fail, based on the Argenti index.
  3. Privatization and economic shifts increase financial risk.

 

Keywords: Financial analysis, Argenti index, state-owned companies, financial failure, privatization

References

  1. . Iraqi Public Companies Law No. 22 of 1977.
  2. . J. K. Shim and J. G. Siegel, Financial Management, 3rd ed., New York, USA: McGraw-Hill, 2007.
  3. . Y. Wang and M. Campbell, "Financial Ratios and the Prediction of Bankruptcy: The Ohlson Model Applied to Chinese Publicly Traded Companies," Journal of Organizational Leadership & Business, Summer 2010.
  4. . L. H. Chen and T.-Y. Guo, "Forecasting Financial Crises for an Enterprise by Using the Grey Markov Forecasting Model," Qual Quant, vol. 45, pp. 163–170, 2011.
  5. . M. Velavan, "Measuring Financial Health of Kothari Sugars Limited Using ‘Z’ Score Model," Advances in Management, vol. 4, no. 5, May 2011.
  6. . Z. Naiping and Z. Li, "The Evaluation on Financial Risks of Listed Companies Based on the Empirical Evidence from Chinese Stock Market," Jiangsu University, Zhenjiang, China, 2011.
  7. . L. T. Djiné, "Assessing the Risk of Bank Failure in Cameroon: A Z-Scoring Approach," International Research Journal of Finance and Economics, no. 77, pp. 143-150, 2011.
  8. . A. Martin, M. Manjula, and P. Venkatesan, "A Business Intelligence Model to Predict Bankruptcy Using Financial Domain Ontology with Association Rule Mining Algorithm," IJCSI International Journal of Computer Science Issues, vol. 8, no. 3, no. 2, May 2011.
  9. . S. Balcaen, S. Manigart, J. Buyze, and H. Ooghe, "Firm Exit After Distress: Differentiating Between Bankruptcy, Voluntary Liquidation and M&A," Qual Quant, vol. 45, pp. 1107-1136, 2011.
  10. . E. F. Brigham and M. C. Ehrhardt, Financial Management: Theory and Practice, 13th ed., USA: South-Western, Cengage Learning, 2011.
  11. . K. Y. Hong and L. Xiang, "Research on Financial Distress Prediction of China Real Estate Public Companies Based on Z-Score Model," International Conference on Management Science & Engineering, 18th ed., Sept. 13-15, 2011.
  12. . K. M. Ayotte, E. S. Hotchkiss, and K. S. Thorburn, "Governance in Financial Distress and Bankruptcy," Annual Review of Financial Economics, vol. 4, no. 1, pp. 315-342, Dec. 2012.
  13. . S. Anjum, "Business Bankruptcy Prediction Models: A Significant Study of the Altman’s Z-Score Model," Asian Journal of Management Research, vol. 3, no. 1, pp. 212-218, 2012.
  14. . H. Ghodrati and A. H. M. Moghaddam, "A Study of the Accuracy of Bankruptcy Prediction Models: Altman, Shirata, Ohlson, Zmijewsky, CA Score, Fulmer, Springate, Farajzadeh Genetic, and McKee Genetic Models for the Companies of the Stock Exchange of Tehran," American Journal of Scientific Research, no. 59, pp. 55-67, 2012.

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