IDEAS home Printed from https://ideas.repec.org/a/hig/ecohse/202213.html
   My bibliography  Save this article

Bank Default's Factors Differentiation Based on License Withdrawal Reasons

Author

Listed:
  • Andrey Zubarev

    (The Institute of Applied Economic Research, RANEPA, Moscow, Russia)

  • Kirill Shilov

    (The Institute of Applied Economic Research, RANEPA, Moscow, Russia)

Abstract

The landscape of the Russian banking sector has changed significantly over the past few years, with the number of banks having halved in 2013 since the new leadership of the Bank of Russia came in. This paper is devoted to the study of the reasons for the revocation of Russian banks' licenses, as well as to the identification of factors that increase or decrease the probability of license revocation for one reason or another. To identify the possible causes of revocations, we gathered data on all license withdrawals and cases of temporary administrations interventions in the period from January 1, 2013 to January 1, 2021, including official press releases of the Bank of Russia and the news background that accompanied each such case. Based on the analyzed information, all cases of revocations were classified into two groups of reasons: economic reasons and violations of anti-money laundering laws. Based on the results of the estimation of multinomial logistic regressions using official data from balance sheets and income statements of Russian commercial banks from the Bank of Russia website, we have identified factors contributing to the increase in the probability of license revocation for each reason on the horizon of one year. In particular, high bank profitability and the amount of govern­ment securities on the bank's balance sheet decrease the probability of revocation for economic reasons only, while high proportion of stocks in assets is typical for banks engaged in money laundering and falsification of financial reports. An increase in the share of loan loss provision and a decrease in the share of overdue debt were accompanied by an increase in the probabili ty of license revocation only due to money laundering, which may also indicate fraud reporting and concealment of overdue debt.

Suggested Citation

  • Andrey Zubarev & Kirill Shilov, 2022. "Bank Default's Factors Differentiation Based on License Withdrawal Reasons," HSE Economic Journal, National Research University Higher School of Economics, vol. 26(1), pages 69-103.
  • Handle: RePEc:hig:ecohse:2022:1:3
    as

    Download full text from publisher

    File URL: https://ej.hse.ru/en/2022-26-1/584522065.html
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bekirova, Olga & Zubarev, Andrey, 2023. "Determinants of risk, profitability and default probability of Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 20-38.

    More about this item

    Keywords

    banking sector; defaults; multinomial logit; banking license withdrawals; Bank of Russia;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:hig:ecohse:2022:1:3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Editorial board or Editorial board (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.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.