IDEAS home Printed from https://ideas.repec.org/p/ctn/dpaper/2018-08.html
   My bibliography  Save this paper

Credit Risk Determinants in the Vulnerable Economies of Europe: Evidence from the Italian Banking System

Author

Listed:
  • Esida Gila-Gourgoura

    (School of Economics, University of Cape Town)

  • Eftychia Nikolaidou

    (School of Economics, University of Cape Town)

Abstract

This study uses the Autoregressive Distributed Lag (ARDL) approach to cointegration to identify the factors affecting credit risk in the Italian banking system over the period 1997Q4–2017Q1. The ratio of new bad loans to the outstanding amount of performing loans in the previous period is the selected proxy of credit risk whereas a wide range of explanatory variables are included in the study, taking stock from the related literature and the specific features of Italy. Compared to the previous studies, a wider timeframe is investigated, which captures the booming period, the global financial crisis and the ongoing Eurozone sovereign debt crisis. The findings suggest that macroeconomic cyclical, bank-specific, and financial market variables affect the flow of new bad loans in the Italian banking system. The high significance of the sovereign debt crisis risk proxy signals the important link between banking and sovereign debt crisis both in the short and in the long term and therefore rings a bell to fiscal and monetary authorities in Italy and the Euro area.

Suggested Citation

  • Esida Gila-Gourgoura & Eftychia Nikolaidou, 2018. "Credit Risk Determinants in the Vulnerable Economies of Europe: Evidence from the Italian Banking System," School of Economics Macroeconomic Discussion Paper Series 2018-08, School of Economics, University of Cape Town.
  • Handle: RePEc:ctn:dpaper:2018-08
    as

    Download full text from publisher

    File URL: https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxzb2VtYWNyb2Vjb3xneDo0Zjk0NmNhMGM5YmY0YTNk
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • 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:ctn:dpaper:2018-08. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/seuctza.html .

    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: Kevin Kotze (email available below). General contact details of provider: https://edirc.repec.org/data/seuctza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.