IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2017-03-43.html
   My bibliography  Save this article

Analysis Z-score to Predict Bankruptcy in Banks Listed in Indonesia Stock Exchange

Author

Listed:
  • Muammar Khaddafi

    (Department of Accounting, Faculty of Economics, Universitas Malikussaleh, Lhokseumawe, Indonesia,)

  • Falahuddin

    (Department of Accounting, Faculty of Economics, Universitas Malikussaleh, Lhokseumawe, Indonesia,)

  • Mohd. Heikal

    (Department of Management, Faculty of Economics, Universitas Malikussaleh, Lhokseumawe, Indonesia,)

  • Ayu Nandari

    (Department of Accounting, Faculty of Economics, Universitas Malikussaleh, Lhokseumawe, Indonesia.)

Abstract

This study aimed to test the predictions of bankruptcy in the banking companies listed in the Indonesia Stock Exchange using the Altman Z-score to see how big the bankruptcy prediction during period of 2011-2013 in the banking Industry. Calculating each bank's bankruptcy prediction on each 29 banks institution. The data used in this study is the annual financial statements that are Exchange Indonesia. The analysis technique used is a bankruptcy prediction model Altman Z-score. By using the formula Z-score = 1.2X1 + 1.4 X2 + 3.3X3 + 0.6 + 1.0 X4 X5. The criteria for assessing a Z-score > 2.99 categorized as a very healthy company. 1.81

Suggested Citation

  • Muammar Khaddafi & Falahuddin & Mohd. Heikal & Ayu Nandari, 2017. "Analysis Z-score to Predict Bankruptcy in Banks Listed in Indonesia Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 326-330.
  • Handle: RePEc:eco:journ1:2017-03-43
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijefi/article/download/4163/pdf
    Download Restriction: no

    File URL: http://www.econjournals.com/index.php/ijefi/article/view/4163/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    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. Ajaan Rahman Khan & Chinmoy Das Gupta & Md. Ali Ashraf, 2021. "Relationship Between Banking Performance and Financial Distress: A Study on Banks of Bangladesh," Issues in Economics and Business, Macrothink Institute, vol. 7(1), pages 15-25, June.
    2. Munene Halldess Nguta & Ken Mugambi, 2021. "Analysis of the Related Party Transactions interms of managerial and financial issues for the Kenyan Savings and Credit Cooperatives," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(1), pages 48-61, January.
    3. Shailesh Rastogi & Arpita Sharma & Geetanjali Pinto & Venkata Mrudula Bhimavarapu, 2022. "A literature review of risk, regulation, and profitability of banks using a scientometric study," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    4. Subrata Deb Nath & Prasenjit Kumer Biswas & Md. Aminur Rashid & Munna Rani Biswas, 2020. "Financial Distress Prediction through Altman Z-Score Model: A Case Study of State Owned Commercial Banks of Bangladesh," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 11(3), pages 60-67, September.
    5. Halldess Nguta Munene & James Ndegwa & Thomas Senaji & Kenneth M. Mugambi, 2020. "Influence of Board Characteristics on Financial Distress of Deposit Taking SACCOs in Nairobi County, Kenya," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 97-110, October.

    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. Barbara Su, 2023. "Banking practices and borrowing firms’ financial reporting quality: evidence from bank cross-selling," Review of Accounting Studies, Springer, vol. 28(1), pages 201-236, March.
    2. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    3. Shaikh, Ibrahim A. & O'Brien, Jonathan Paul & Peters, Lois, 2018. "Inside directors and the underinvestment of financial slack towards R&D-intensity in high-technology firms," Journal of Business Research, Elsevier, vol. 82(C), pages 192-201.
    4. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    5. Ch. Piette & M.-D. Zachary, 2015. "Sensitivity to the crisis of SME financing in Belgium," Economic Review, National Bank of Belgium, issue iii, pages 31-45, December.
    6. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    7. 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.
    8. Masahiro Enomoto, 2018. "Effects of Corporate Governance on the Relationship between Accounting Quality and Trade Credit: Evidence from Japan," Discussion Paper Series DP2018-12, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2023.
    9. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
    10. Knyazeva, Anzhela & Knyazeva, Diana, 2012. "Does being your bank’s neighbor matter?," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1194-1209.
    11. 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.
    12. 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).
    13. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    14. Gropp, R. & Grundl, C. & Guttler, A., 2012. "Does Discretion in Lending Increase Bank Risk? Borrower Self-Selection and Loan Officer Capture Effects," Other publications TiSEM bfec5360-2a2b-47e4-ba3f-d, Tilburg University, School of Economics and Management.
    15. Pavol Durana & Lucia Michalkova & Andrej Privara & Josef Marousek & Milos Tumpach, 2021. "Does the life cycle affect earnings management and bankruptcy?," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 425-461, June.
    16. Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
    17. Dinh, K. & Kleimeier, S., 2006. "Credit scoring for Vietnam's retail banking market : implementation and implications for transactional versus relationship lending," Research Memorandum 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    18. Park, Moon Deok & Han, Seung Hun, 2023. "Pay dispersion and CSR," Finance Research Letters, Elsevier, vol. 51(C).
    19. 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.
    20. Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Journal of Entrepreneurial and Organizational Diversity, European Research Institute on Cooperative and Social Enterprises, vol. 3(1), pages 89-103, June.

    More about this item

    Keywords

    Altman Z-score; Bankruptcy; Stock Exchange;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G3 - Financial Economics - - Corporate Finance and Governance
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

    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:eco:journ1:2017-03-43. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.