Nonperforming loans in the euro area: Are core-periphery banking markets fragmented?

The objective of this study is to examine the causes of non-performing loans (NPLs) in the banking system of the euro area for the period 2003-2013 and distinguish between core and periphery country determinants. The increase in NPLs post crisis has put into question the robustness of many European banks and the stability of the whole sector. It still remains a serious challenge, especially in peripheral countries which are hardest hit by the financial crisis. By employing both Fully Modified OLS and Panel Cointegrated VAR we estimate that NPLs are affected by the same macroeconomic and bank-specific conditions but the responses are stronger in the periphery. Following the FMOLS estimations NPLs in the euro area have performed an upward (much higher in the periphery) shift after 2008 and are mostly related to worsening macroeconomic conditions especially with respect to unemployment, growth and taxes. Fiscal consolidation and interest rate margins are significant for the periphery while credit to GDP is significant only for the core. Quality of management and loans to deposits play an important role, while size is negatively significant only in the periphery. Most of these findings were confirmed by the panel Cointegrated VAR results. A chi-square test comparing the estimated coefficients for the core and periphery NPLs rejects the hypothesis of equality revealing another aspect of banking fragmentation in the euro area. Such findings can be helpful when designing macro-prudential as well as NPL resolution policies, which should be adjusted appropriately to the different responses between core and periphery banks.

[1]  A. Al-Eyd,et al.  Fragmentation and Monetary Policy in the Euro Area , 2013, SSRN Electronic Journal.

[2]  Jing Cai,et al.  Non-Performing Loans, Moral Hazard and Regulation of the Chinese Commercial Banking System , 2014 .

[3]  Anastasiou Dimitrios,et al.  Determinants of non-performing loans: Evidence from Euro-area countries , 2016 .

[4]  P. Jakubik,et al.  Non-Performing Loans: What Matters in Addition to the Economic Cycle? , 2013, SSRN Electronic Journal.

[5]  Peter C. B. Phillips,et al.  Statistical Inference in Instrumental Variables Regression with I(1) Processes , 1990 .

[6]  Saibal Ghosh Does leverage influence banks' non-performing loans? Evidence from India , 2005 .

[7]  Nir Klein Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance , 2013, SSRN Electronic Journal.

[8]  Chihwa Kao,et al.  Spurious Regression and Residual-Based Tests for Cointegration in Panel Data When the Cross-Section and Time-Series Dimensions are Comparable , 1996 .

[9]  Peter Pedroni,et al.  Fully modified OLS for heterogeneous cointegrated panels , 2001 .

[10]  M. Bijsterbosch,et al.  The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply? , 2015 .

[11]  Raphael A. Espinoza,et al.  Nonperforming Loans in the GCC Banking System and Their Macroeconomic Effects , 2010, SSRN Electronic Journal.

[12]  Allen N. Berger,et al.  Problem Loans and Cost Efficiency in Commercial Banks , 1997 .

[13]  Rodney W. Strachan,et al.  Efficient Posterior Simulation for Cointegrated Models with Priors on the Cointegration Space , 2009 .

[14]  Reserve Bank,et al.  Financial Stability Review , 2011 .

[15]  Andrea Zaghini Fragmentation and Heterogeneity in the Euro – Area Corporate Bond Market: Back to Normal? , 2016 .

[16]  E. Prescott,et al.  Postwar U.S. Business Cycles: An Empirical Investigation , 1997 .

[17]  M. Souto,et al.  Macro-Financial Implications of Corporate (De)Leveraging in the Euro Area Periphery , 2013, SSRN Electronic Journal.

[18]  Maria Abascal,et al.  Fragmentation in the European interbank market: Measures, determinants, and policy solutions , 2015 .

[19]  K. Kauko External deficits and non-performing loans in the recent financial crisis , 2012 .

[20]  Eleni Angelopoulou,et al.  Building a Financial Conditions Index for the Euro Area and Selected Euro Area Countries: What Does It Tell Us about the Crisis? , 2013, SSRN Electronic Journal.

[21]  Chaiporn Vithessonthi Deflation, Bank Credit Growth, and Non-Performing Loans: Evidence from Japan , 2016 .

[22]  A. Vouldis,et al.  Macroeconomic and Bank-Specific Determinants of Non-Performing Loans in Greece: A Comparative Study of Mortgage, Business and Consumer Loan Portfolios , 2010, SSRN Electronic Journal.

[23]  Jiří Podpiera,et al.  Bad Luck or Bad Management? Emerging Banking Market Experience , 2007 .

[24]  M. Villani Bayesian point estimation of the cointegration space , 2006 .

[25]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[26]  Amit K. Ghosh Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states , 2015 .

[27]  Rodney W. Strachan Valid Bayesian Estimation of the Cointegrating Error Correction Model , 2003 .

[28]  P. Phillips Testing for a Unit Root in Time Series Regression , 1988 .

[29]  Marcel Fratzscher,et al.  Euro area government bonds – Fragmentation and contagion during the sovereign debt crisis , 2017 .

[30]  P. Pedroni PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS , 2004, Econometric Theory.

[31]  D. Anastasiou Is Ex-Post Credit Risk Affected by the Cycles? The Case of Italian Banks , 2017 .

[32]  Brett Inder,et al.  Bayesian analysis of the error correction model , 2004 .

[33]  S. Manganelli,et al.  Measuring Financial Fragmentation in the Euro Area Corporate Bond Market , 2016, Journal of Risk and Financial Management.

[34]  Mattias Villani,et al.  BAYESIAN REFERENCE ANALYSIS OF COINTEGRATION , 2005, Econometric Theory.

[35]  Mwanza Nkusu,et al.  Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies , 2011, SSRN Electronic Journal.