All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Macroeconomic Drivers of Non-performing Loans: A Meta-regression Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10237940" target="_blank" >RIV/61989100:27510/18:10237940 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.vse.cz/pep/656" target="_blank" >https://www.vse.cz/pep/656</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18267/j.pep.656" target="_blank" >10.18267/j.pep.656</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Macroeconomic Drivers of Non-performing Loans: A Meta-regression Analysis

  • Original language description

    Common exposure to macroeconomic risk factors across financial institutions is a source of a systemic risk that influences quality of banks&apos; loan portfolios. This paper focuses on the growing literature on credit risk determinants. The aim of the paper is to provide more general information on effects of macroeconomic drivers with the use of quantitative meta-analytic techniques. We consider five of the most common macroeconomic determinants of non-performing loans ratio. The meta-regression results suggest that there are some significant differences among studies, which could be identified. For instance, data specification, estimation method, number of countries and observations included in the model play a significant role. In some cases, e.g. inflation and exchange rate, the size of the effects presented in journals with impact factor are significantly different from other types of studies included in the analysis. The sub-sample analysis mostly confirms meta-regressions results.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    <a href="/en/project/GA16-13784S" target="_blank" >GA16-13784S: Financial sector policy and institutions: Current challenges in balancing financial development and stability</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Prague Economic Papers

  • ISSN

    1210-0455

  • e-ISSN

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    24

  • Pages from-to

    351-374

  • UT code for WoS article

    000437554400006

  • EID of the result in the Scopus database

    2-s2.0-85048707532