IDEAS home Printed from https://ideas.repec.org/p/ris/iisecd/2002_011.html

Predicción de Problemas de Crisis y Continuidad en Empresas Bancarias

Author

Listed:
  • René Mariaca

    (IISEC, Universidad Católica Boliviana)

Abstract

Con el objetivo de generar un modelo predictor de situaciones de crisis en base a los ratios de capital, se aplicaron las técnicas de Discriminante y Regresión Logística a los ratios de capital de los bancos del sistema bancario boliviano, llegando a la conclusión que los ratios mencionados no permiten generar un modelo predictor que permita antelar situaciones de crisis para el caso boliviano. Instituto de Investigaciones Socio - Económicas; IISEC

Suggested Citation

  • René Mariaca, 2002. "Predicción de Problemas de Crisis y Continuidad en Empresas Bancarias," Documentos de trabajo 11/2002, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    • Handle: RePEc:ris:iisecd:2002_011
    as

    Download full text from publisher

    File URL: http://www.iisec.ucb.edu.bo/assets_iisec/publicacion/2002-11.pdf
    File Function: Full text
    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)

    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. Haozhe Song & Gunnar Rimmel, 2025. "Debtholders' reaction to sustainability reporting regulations: International evidence," Business Strategy and the Environment, Wiley Blackwell, vol. 34(1), pages 88-115, January.
    2. 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.
    3. 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.
    4. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    5. 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).
    6. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    7. 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.
    8. Yanan Wang & Xiao Zhang & Michal Wojewodzki & Yuxin Jian & Fadey AbiDaoud, 2026. "ESG Performance and Credit Risk: Evidence From Chinese Manufacturing Companies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 31(3), pages 3720-3746, July.
    9. 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).
    10. Gao, Xin & Xu, Weidong & Li, Donghui, 2025. "Media coverage and managerial investment learning from stock markets: International evidence," Research in International Business and Finance, Elsevier, vol. 76(C).
    11. Elizaveta Danilova & Evgeny Rumyantsev & Ivan Shevchuk, 2018. "Review of the Bank of Russia – IMF Workshop 'Recent Developments in Macroprudential Stress Testing'," Russian Journal of Money and Finance, Bank of Russia, vol. 77(4), pages 60-83, December.
    12. Alderson, Michael J. & Betker, Brian L. & Halford, Joseph T., 2021. "Fictitious dividend cuts in the CRSP data," Journal of Corporate Finance, Elsevier, vol. 71(C).
    13. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    14. Nabeel Al-Milli & Amjad Hudaib & Nadim Obeid, 2021. "Population Diversity Control of Genetic Algorithm Using a Novel Injection Method for Bankruptcy Prediction Problem," Mathematics, MDPI, vol. 9(8), pages 1-18, April.
    15. Hu, Xiaolu & Shi, Jing & Wang, Lafang & Yu, Jing, 2020. "Foreign ownership in Chinese credit ratings industry: Information revelation or certification?," Journal of Banking & Finance, Elsevier, vol. 118(C).
    16. Katsuyuki Tanaka & Takuo Higashide & Takuji Kinkyo & Shigeyuki Hamori, 2025. "A Multi-Stage Financial Distress Early Warning System: Analyzing Corporate Insolvency with Random Forest," JRFM, MDPI, vol. 18(4), pages 1-16, April.
    17. 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.
    18. Alessandra Ortolano & Eliana Angelini, 2020. "Do CDS spread determinants affect the probability of default? A study on the EU banks," Bank i Kredyt, Narodowy Bank Polski, vol. 51(1), pages 1-32.
    19. Lauren Stagnol, 2015. "Designing a corporate bond index on solvency criteria," EconomiX Working Papers 2015-39, University of Paris Nanterre, EconomiX.
    20. Hassan Raza & Syeda Hina Zaidi & Eleftherios Thalassinos, 2026. "Do ESG Scores and Controversies Improve Corporate Financial Distress Prediction? Evidence from Machine Learning in Asia-Pacific Markets," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 485-512.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • Z00 - Other Special Topics - - General - - - General

    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:ris:iisecd:2002_011. 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: Tirza Aguilar The email address of this maintainer does not seem to be valid anymore. Please ask Tirza Aguilar to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/iisecbo.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.