IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v17y2022i3a1.html
   My bibliography  Save this article

Análisis del riesgo de quiebra de instituciones financieras peruanas, 2015-2021

Author

Listed:
  • Ricardo Gabriel Rossi Ortiz

    (Universidad Privada Del Norte, Perú)

  • Ricardo Manuel Rossi Valverde

    (Universidad Privada Antenor Orrego, Perú)

Abstract

En Perú, la dinámica económica de la Banca Múltiple y las Cajas Municipales es relevante; sin embargo, estas no han sido estudiadas en cuanto al riesgo de quiebra, indicador importante en la gestión financiera y la calificación crediticia. La presente investigación pretende ser un nuevo aporte en el tema, ya que se analizó a 26 instituciones financieras activas con el objetivo de evaluar el riesgo de quiebra. Utilizando el análisis discriminante múltiple del modelo Z de Altman complementado con la media armónica, los resultados muestran evidencia empírica de que solo el 20% de las instituciones de la Banca Múltiple se ubica en la zona segura y un preocupante 13% se ubica en la zona de quiebra. Además, las Cajas Municipales cuentan con una relativa mejor salud financiera al ubicarse el 100% fuera de la zona de quiebra. Se sugiere realizar estudios en países con economías similares. Una limitación fue el haberse trabajado con datos históricos. Entre las conclusiones a destacar: se encuentra que, el modelo Z de Altman es eficaz en la predicción del riesgo de quiebra de instituciones financieras.

Suggested Citation

  • Ricardo Gabriel Rossi Ortiz & Ricardo Manuel Rossi Valverde, 2022. "Análisis del riesgo de quiebra de instituciones financieras peruanas, 2015-2021," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(3), pages 1-20, Julio - S.
  • Handle: RePEc:imx:journl:v:17:y:2022:i:3:a:1
    as

    Download full text from publisher

    File URL: https://www.remef.org.mx/index.php/remef/article/view/735
    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.
    2. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    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. 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. 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. 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.
    6. 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.
    7. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
    8. Knyazeva, Anzhela & Knyazeva, Diana, 2012. "Does being your bank’s neighbor matter?," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1194-1209.
    9. 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.
    10. 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).
    11. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    12. 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.
    13. 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.
    14. 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).
    15. Park, Moon Deok & Han, Seung Hun, 2023. "Pay dispersion and CSR," Finance Research Letters, Elsevier, vol. 51(C).
    16. 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.
    17. 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.
    18. 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).
    19. 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.
    20. 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.

    More about this item

    Keywords

    Banca Múltiple; Caja Municipal; Balance General; Estado de Ganancias y Pérdidas; Riesgo de quiebra.;
    All these keywords.

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:imx:journl:v:17:y:2022:i:3:a:1. 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: Ricardo Mendoza (email available below). General contact details of provider: https://www.remef.org.mx/index.php/remef/index .

    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.