IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v12y2024i9p140-d1471424.html
   My bibliography  Save this article

A Financial Stability Model for Iraqi Companies

Author

Listed:
  • Narjis Abdlkareem Ibrahim

    (Department of Accounting, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran)

  • Mahdi Salehi

    (Department of Accounting, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran)

  • Hussen Amran Naji Al-Refiay

    (Department of Accounting, Administrations & Economics, University of Kerbala, Kerbala 964335027, Iraq)

  • Mahmoud Lari Dashtbayaz

    (Department of Accounting, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran)

Abstract

The current study aims to develop a financial stability model in Iraq; after reviewing the relevant literature and sources related to financial stability and considering Iraq’s social, economic, political, and cultural conditions, a conceptual model and a research questionnaire have been developed. Based on the developed conceptual model, macro variables at the level of the economy, micro variables at the level of companies, the environmental variables of companies, and corporate governance have been selected as model dimensions. Each dimension has several components, including several indicators; 39 indicators were measured through questions in 2024. The research questionnaire was subjected to the opinion of 21 experts with sufficient experimental and academic records on this subject, and by using the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, the results were analyzed, and the final model was extracted. In this model, the scientific method used to analyze the results determines the weight of each dimension, component, and indicator. The results of this research show that the dimensions of corporate governance, the variables of the company environment, micro variables at the company level, and macro variables at the economic level with coefficients of 0.345, 0.251, 0.236, and 0.168, respectively, have the most significant impact on the ranking of the company’s financial stability. So far, research has yet to be conducted to present the financial stability model of Iraqi companies. Therefore, the present research is one of the first studies in this respect, which presents a model both qualitatively (by designing a questionnaire and conceptual model) and quantitatively (through a mathematical model) to measure financial stability that can help the development of science and knowledge in this field.

Suggested Citation

  • Narjis Abdlkareem Ibrahim & Mahdi Salehi & Hussen Amran Naji Al-Refiay & Mahmoud Lari Dashtbayaz, 2024. "A Financial Stability Model for Iraqi Companies," Risks, MDPI, vol. 12(9), pages 1-25, September.
  • Handle: RePEc:gam:jrisks:v:12:y:2024:i:9:p:140-:d:1471424
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/12/9/140/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/12/9/140/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Md. Abdul Halim & Syed Moudud-Ul-Huq & Farid Ahammad Sobhani & Ziaul Karim & Zinnatun Nesa, 2023. "The Nexus of Banks’ Competition, Ownership Structure, and Economic Growth on Credit Risk and Financial Stability," Economies, MDPI, vol. 11(8), pages 1-18, July.
    2. Akins, Brian & Li, Lynn & Ng, Jeffrey & Rusticus, Tjomme O., 2016. "Bank Competition and Financial Stability: Evidence from the Financial Crisis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(1), pages 1-28, February.
    3. Shane Magee, 2013. "The effect of foreign currency hedging on the probability of financial distress," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(4), pages 1107-1127, December.
    4. Elsayed, Ahmed H. & Naifar, Nader & Nasreen, Samia, 2023. "Financial stability and monetary policy reaction: Evidence from the GCC countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 396-405.
    5. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    6. Ghassan, Hassan B. & Krichene, Noureddine, 2017. "Financial Stability of Conventional and Islamic Banks: A Survey," MPRA Paper 82372, University Library of Munich, Germany.
    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. Joanna Florek & Ryszard Staniszewski & Dorota Czerwińska-Kayzer & Dariusz Kayzer, 2024. "Functioning of the Energy Sector Under Crisis Conditions—A Polish Perspective," Energies, MDPI, vol. 17(23), pages 1-23, December.

    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. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    2. Sam Ngwenya, 2018. "Assessing the State of Financial Distress of Listed Gold and Platinum Mining Companies in South Africa," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 14(4), pages 655-677, AUGUST.
    3. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    4. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    5. Kristóf, Tamás, 2008. "A csődelőrejelzés és a nem fizetési valószínűség számításának módszertani kérdéseiről [Some methodological questions of bankruptcy prediction and probability of default estimation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 441-461.
    6. Risfandy, Tastaftiyan & Tarazi, Amine & Trinugroho, Irwan, 2022. "Competition in dual markets: Implications for banking system stability," Global Finance Journal, Elsevier, vol. 52(C).
    7. Lauren Stagnol, 2015. "Designing a corporate bond index on solvency criteria," EconomiX Working Papers 2015-39, University of Paris Nanterre, EconomiX.
    8. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
    9. Maurice Peat, 2007. "Factors Affecting the Probability of Bankruptcy: A Managerial Decision Based Approach," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 303-324, September.
    10. Talam, Camilla & Kiemo, Samuel, 2024. "Interest rate risk in Kenya: The banking sector stability and fiscal risks nexus," KBA Centre for Research on Financial Markets and Policy Working Paper Series 80, Kenya Bankers Association (KBA).
    11. Amir Ghafourian Shagerdi & Ali Mahdavipour & Reza Jahanshiri Ariyan Tashakori Baghdar & Mohammad Sajjad Ghafourian Shagerdi, 2020. "Investment Efficiency and Audit Fee from the Perspective of the Role of Financial Distress," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 318-333.
    12. Chiara Pederzoli & Grid Thoma & Costanza Torricelli, 2013. "Modelling Credit Risk for Innovative SMEs: the Role of Innovation Measures," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 111-129, August.
    13. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    14. Maria H. Kim & Graham Partington, 2015. "Dynamic forecasts of financial distress of Australian firms," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 135-160, February.
    15. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    16. Lillian Cheung & Amnon Levy, 1998. "An integrative analysis of business bankruptcy in Australia," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(2), pages 149-167, June.
    17. Yulian Zhang & Shigeyuki Hamori, 2020. "Forecasting Crude Oil Market Crashes Using Machine Learning Technologies," Energies, MDPI, vol. 13(10), pages 1-14, May.
    18. Elizabeth Demers & Philip Joos, 2007. "IPO Failure Risk," Journal of Accounting Research, Wiley Blackwell, vol. 45(2), pages 333-371, May.
    19. Arati Kale & Devendra Kale & Sriram Villupuram, 2024. "Decomposition of risk for small size and low book-to-market stocks," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 96-112, February.
    20. de Oliveira Leite, Rodrigo & dos Santos Mendes, Layla & de Lacerda Moreira, Rafael, 2020. "Profit status of microfinance institutions and incentives for earnings management," Research in International Business and Finance, Elsevier, vol. 54(C).

    More about this item

    Keywords

    financial stability; political factors;

    Statistics

    Access and download statistics

    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:jrisks:v:12:y:2024:i:9:p:140-:d:1471424. 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.