2013年-IMF国际货币组织全球_Non_27页_1mb

Summary of "Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance"

Core Content

This IMF Working Paper by Nir Klein analyzes the determinants and macroeconomic effects of non-performing loans (NPLs) in Central, Eastern, and South-Eastern Europe (CESEE) over the period 1998–2011. The study combines bank-level and macroeconomic data to assess the factors influencing NPLs and the feedback effects from the banking system to the real economy.

Main Points

1. Determinants of NPLs

• Macroeconomic factors play a significant role in determining NPL levels, including:

  • Higher unemployment rates increase NPLs.
  • Currency depreciation (against the euro) contributes to higher NPLs, especially in countries with foreign currency loans.
  • Inflation has a mixed effect, potentially reducing real income and increasing NPLs.
  • Euro area GDP growth is negatively correlated with NPLs, suggesting that stronger growth in the region helps reduce NPLs.
  • Global risk aversion, measured by the VIX index, increases NPLs.

• Bank-level factors also influence NPLs:

  • A higher equity-to-asset ratio is associated with lower NPLs, supporting the "moral hazard" hypothesis.
  • Higher return on equity (RoE) is negatively correlated with NPLs, indicating better bank management.
  • Excessive lending (measured by loan-to-asset ratio and past lending growth) leads to higher NPLs.
  • Bank size and expense-to-income ratio were not found to have a significant impact.

2. Feedback Effects

• The banking system significantly affects the real economy through feedback effects, particularly via the credit supply channel.
• A positive shock to NPLs leads to:
  • A contraction in the credit-to-GDP ratio.
  • A slowdown in real GDP growth.
  • An increase in unemployment.
• These effects suggest that high NPLs can hinder economic recovery and may pose long-term macro-financial vulnerabilities.
• The impulse response functions from the panel VAR analysis confirm the strong linkages between NPLs and macroeconomic variables.

3. Empirical Approach

• The study uses panel data from the Bankscope database and macroeconomic indicators from Haver and WEO.
• The dataset covers the ten largest banks in each of the 16 CESEE countries.
• The coverage of the dataset is over 60% of the banking sector’s assets in most countries.
• The dynamic panel regression model is used to assess the determinants of NPLs, incorporating both macroeconomic and bank-level variables.

4. Robustness and Sub-sample Analysis

• The sample is split into pre-crisis (1998–2007) and post-crisis (2008–2011) to evaluate the impact of the financial crisis.
• During the pre-crisis period, inflation and unemployment had a stronger impact on NPLs.
• In the post-crisis period, exchange rate depreciation became a more significant factor.
• Bank-level factors remained important in both periods, though their significance varied by estimation technique.

Key Information

• NPLs increased from just above 3% in 2007 to an average of 11% by end-2011.
• Feedback effects are strong and bidirectional, with NPLs affecting economic activity and vice versa.
• The panel VAR analysis is used to assess the dynamic relationships between NPLs and macroeconomic variables.
• Data limitations include the lack of detailed loan composition data and the potential underreporting of NPLs due to restructured loans.

Policy Implications

• Policymakers in CESEE should prioritize resolving NPLs to support economic recovery.
• Addressing bank-specific inefficiencies and macroeconomic vulnerabilities is essential for improving the financial system's resilience.
• Regulatory and supervisory reforms should consider both macroeconomic and bank-level factors to effectively reduce NPLs and mitigate feedback effects.

Conclusion

The paper concludes that NPLs in CESEE are influenced by both macroeconomic and bank-level factors, with macroeconomic conditions playing a more dominant role. The strong feedback effects from the banking system to the real economy indicate that resolving NPLs is crucial for maintaining economic stability and fostering recovery. The findings support the need for coordinated policy measures to address the root causes of NPLs and their macroeconomic consequences.