IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/84632.html
   My bibliography  Save this paper

The Prediction of Bankruptcy Using Altman Z-Score Model (Case Study In BRI Bank, BNI Bank, Mandiri Bank, BTN Bank)

Author

Listed:
  • Herlin, .

Abstract

Based on the calculation of the Altman model in predicting bankrupt at PT. Bank Rakyat Indonesia (Persero) Tbk in 2014, 2015, 2016, PT. Bank Mandiri (Persero) Tbk in 2014 and 2015 and is PT.Bank Tabungan Negara (Persero) Tbk in 2014 with a score of Z-score above 2.99 indicates that included in the company healthy or not potential to go bankrupt. Companies included in the category of unhealthy or potential companies to go bankrupt with a Z-score of less than 1.81 ie PT. Bank Tabungan Negara (Persero) Tbk in 2014 with a Z-score of 1.405 (

Suggested Citation

  • Herlin, ., 2018. "The Prediction of Bankruptcy Using Altman Z-Score Model (Case Study In BRI Bank, BNI Bank, Mandiri Bank, BTN Bank)," MPRA Paper 84632, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:84632
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/84632/1/pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    2. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    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. 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).
    2. 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.
    3. Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
    4. Saara Tamminen, 2017. "Regional effects or none? Firms' profitability during the Great Recession in Finland," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 33-59, March.
    5. 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.
    6. Saiful Anwar & A.M Hasan Ali, 2018. "ANNs-BASED EARLY WARNING SYSTEM FOR INDONESIAN ISLAMIC BANKS," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 20(3), pages 325-342, January.
    7. E. Fedorova A. & M. Chukhlantseva A. & D. Chekrizov V. & ЕЛЕНА Федорова АНАТОЛЬЕВНА & МАРИЯ Чухланцева АЛЕКСАНДРОВНА & ДМИТРИЙ Чекризов ВАСИЛЬЕВИЧ, 2017. "Нормативные значения коэффициентов финансовой устойчивости: особенности видов экономической деятельности // Normative Values of Financial Stability Ratios: Industry-Specific Features," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 7(2), pages 44-55.
    8. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    9. 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.
    10. 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.
    11. 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.
    12. Miquel-Flores, Ixart & Reghezza, Alessio & Buchetti, Bruno & Perdichizzi, Salvatore, 2024. "Greening the economy: how public-guaranteed loans influence firm-level resource allocation," Working Paper Series 2916, European Central Bank.
    13. Juraini Zainol Abidin & Nur Adiana Hiau Abdullah & Karren Lee-Hwei Khaw, 2020. "Predicting SMEs Failure: Logistic Regression vs Artificial Neural Network Models," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 29-41.
    14. Bamiatzi, Vassiliki & Efthyvoulou, Georgios & Jabbour, Liza, 2017. "Foreign vs domestic ownership on debt reduction: An investigation of acquisition targets in Italy and Spain," International Business Review, Elsevier, vol. 26(5), pages 801-815.
    15. Geoffroy Enjolras & Philippe Madiès, 2020. "The role of bank analysts and scores in the prediction of financial distress: Evidence from French farms," Economics Bulletin, AccessEcon, vol. 40(4), pages 2978-2993.
    16. Nasim Nasirpour & Alireza Mazdaki & Esmail Enayati, 2016. "The Investigation and Comparison of the Performance of Heuristic Methods in the Prediction of the Type of Auditor’s Opinion in Firms Accepted in Tehran Stock Exchange," Asian Social Science, Canadian Center of Science and Education, vol. 12(6), pages 148-148, June.
    17. Noora Alzayed & Rasol Eskandari & Hassan Yazdifar, 2023. "Bank failure prediction: corporate governance and financial indicators," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 601-631, August.
    18. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.
    19. Laurentiu DROJ & Goran KARANOVIC & Ioan Gheorghe TARA, 2021. "The Impact Of The Covid-19 Pandemics Over The Financial Performance At The Level Of The Main Pharmaceutical Operating In Central And Eastern Europe," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 30(2), pages 283-290, December.
    20. Amin Jan & Maran Marimuthu & Muhammad Kashif Shad & Haseeb ur-Rehman & Muhammad Zahid & Ahmad Ali Jan, 2019. "Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis," Economic Change and Restructuring, Springer, vol. 52(1), pages 67-87, February.

    More about this item

    Keywords

    Altman Model; Financial Distress;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:84632. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.