IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v17y2024i1p41-d1324207.html
   My bibliography  Save this article

A Comprehensive Approach to Bankruptcy Risk Evaluation in the Financial Industry

Author

Listed:
  • Samar Issa

    (Department of Business Administration, Saint Peter’s University, Jersey City, NJ 07306, USA)

  • Gulhan Bizel

    (Data Science Institute, Saint Peter’s University, Jersey City, NJ 07306, USA)

  • Sharath Kumar Jagannathan

    (Data Science Institute, Saint Peter’s University, Jersey City, NJ 07306, USA)

  • Sri Sarat Chaitanya Gollapalli

    (Data Science Institute, Saint Peter’s University, Jersey City, NJ 07306, USA)

Abstract

The study presents a comprehensive approach to examining the potential risk of bankruptcies in financial sector organizations. This investigation explores 20 financial sector entities and evaluates their fiscal history from 2000 to 2018. The developed model assesses the chance of these companies going bankrupt by analyzing indicators like liquidity, profitability, debt composition, and operational effectiveness. These metrics are contrasted to regulatory requirements and assessed as having low, moderate, or elevated risk repercussions, ultimately contributing to an overall threat rating. Additionally, the model has a unique algorithm that compensates for excessive debt levels, strengthening the reliability of the risk appraisal grade. This straightforward instrument illustrates the demand to incorporate a variety of financial health indicators. According to the findings, excessive amounts of debt have a detrimental influence on profitability, leading to decreased stock returns and a greater probability of bankruptcy. These findings have practical implications for investors and stakeholders, providing insightful information to help inform decision-making, especially during periods of economic unpredictability such as pandemics. Furthermore, they encourage the enhancement of financial market efficiency.

Suggested Citation

  • Samar Issa & Gulhan Bizel & Sharath Kumar Jagannathan & Sri Sarat Chaitanya Gollapalli, 2024. "A Comprehensive Approach to Bankruptcy Risk Evaluation in the Financial Industry," JRFM, MDPI, vol. 17(1), pages 1-22, January.
  • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:1:p:41-:d:1324207
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/17/1/41/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/17/1/41/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mittnik, Stefan & Semmler, Willi, 2013. "The real consequences of financial stress," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1479-1499.
    2. Abdul Aziz A. Abdul Rahman, 2017. "The Relationship between Solvency Ratios and Profitability Ratios: Analytical Study in Food Industrial Companies listed in Amman Bursa," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 86-93.
    3. Metin Vatansever & Ali HepÅŸen, 2013. "Determining Impacts on Non-Performing Loan Ratio in Turkey," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 2(4), pages 1-7.
    4. Gorton, Gary B., 2010. "Slapped by the Invisible Hand: The Panic of 2007," OUP Catalogue, Oxford University Press, number 9780199734153.
    5. Omar Durrah & Abdul Aziz Abdul Rahman & Syed Ahsan Jamil & Nour Aldeen Ghafeer, 2016. "Exploring the Relationship between Liquidity Ratios and Indicators of Financial Performance: An Analytical Study on Food Industrial Companies Listed in Amman Bursa," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 435-441.
    6. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    7. Talitha Nathaniela Nariswari & Nugi Mohammad Nugraha, 2020. "Profit Growth: Impact of Net Profit Margin, Gross Profit Margin and Total Assets Turnover," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 87-96, October.
    Full references (including those not matched with items on IDEAS)

    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. Schleer, Frauke & Semmler, Willi, 2015. "Financial sector and output dynamics in the euro area: Non-linearities reconsidered," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 235-263.
    2. Mittnik, Stefan & Semmler, Willi, 2013. "The real consequences of financial stress," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1479-1499.
    3. Schleer, Frauke & Semmler, Willi, 2013. "Financial sector-output dynamics in the euro area: Non-linearities reconsidered," ZEW Discussion Papers 13-068, ZEW - Leibniz Centre for European Economic Research.
    4. Marco Botta & Luca Colombo, 2016. "Macroeconomic and Institutional Determinants of Capital Structure Decisions," DISCE - Working Papers del Dipartimento di Economia e Finanza def038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    5. König, Philipp J. & Pothier, David, 2018. "Safe but fragile: Information acquisition, sponsor support and shadow bank runs," Discussion Papers 15/2018, Deutsche Bundesbank.
    6. Antonio Davila & George Foster & Xiaobin He & Carlos Shimizu, 2015. "The rise and fall of startups: Creation and destruction of revenue and jobs by young companies," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 6-35, February.
    7. 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.
    8. 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).
    9. Richardson, Grant & Taylor, Grantley & Lanis, Roman, 2015. "The impact of financial distress on corporate tax avoidance spanning the global financial crisis: Evidence from Australia," Economic Modelling, Elsevier, vol. 44(C), pages 44-53.
    10. 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.
    11. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    12. Roy, Saktinil & Kemme, David M., 2012. "Causes of banking crises: Deregulation, credit booms and asset bubbles, then and now," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 270-294.
    13. Efraim Benmelech & Ralf R. Meisenzahl & Rodney Ramcharan, 2017. "The Real Effects of Liquidity During the Financial Crisis: Evidence from Automobiles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 317-365.
    14. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    15. Lauren Stagnol, 2015. "Designing a corporate bond index on solvency criteria," EconomiX Working Papers 2015-39, University of Paris Nanterre, EconomiX.
    16. Francesco Simone Lucidi, 2019. "Real-time signals anticipating credit booms in Euro Area countries," Working Papers in Public Economics 189, University of Rome La Sapienza, Department of Economics and Law.
    17. 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.
    18. 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.
    19. Wen Su, 2021. "Default Distances Based on the CEV-KMV Model," Papers 2107.10226, arXiv.org, revised May 2022.
    20. 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.

    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:jjrfmx:v:17:y:2024:i:1:p:41-:d:1324207. 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.