Macroeconomic, Structural, and Bank-specific Determinants of Non-performing Loans in Central and Eastern Europe Cover Image

Macroeconomic, Structural, and Bank-specific Determinants of Non-performing Loans in Central and Eastern Europe
Macroeconomic, Structural, and Bank-specific Determinants of Non-performing Loans in Central and Eastern Europe

Author(s): Albulena Shala, Valentin Toçi, Arben Mustafa
Subject(s): Supranational / Global Economy, Business Economy / Management, Economic policy, International relations/trade, Financial Markets, Fiscal Politics / Budgeting
Published by: Ekonomický ústav SAV a Prognostický ústav SAV
Keywords: non-performing loans; Central and Eastern Europe; financial crisis; banking sector;

Summary/Abstract: The study of credit risk has gained significant importance in the aftermath of the global financial crisis of 2007 – 2008. Estimating the determinants of nonperforming loans (NPLs), as an important indicator of credit risk in the banking sector, is essential for financial stability policies. The main goal of this research is to examine the determinants of NPLs in Central and Eastern European countries (CEE). This paper analyzes macroeconomic, structural, and bank-specific determinants of NPLs for 17 CEE countries for the period 2006 – 2017 by utilizing panel data and the fixed effects model. Although the literature on NPLs is quite extensive, this is the first empirical research with such a large number of countries from the CEE region using country-level data. The baseline analysis suggests that the unemployment rate, inflation rate, credit growth, crisis, bank concentration, and regulatory quality have a significant impact on NPLs. Unexpectedly, the law enforcement of creditor rights, proxied by various indicators, is not a statistically significant determinant of NPLs. The result of the study contributes to the literature on banking regulation and supervision, especially in the context of the CEE region.

  • Issue Year: 70/2022
  • Issue No: 05
  • Page Range: 411-429
  • Page Count: 19
  • Language: English