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Determinants of Non-performing Loans: A Panel Data Approach

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  • Cândida Ferreira

    (UL – Lisbon School of Economics and Management of the Universidade de Lisboa)

Abstract

This paper considers a panel of 80 countries across all continents, over the period 1999–2019, and uses panel generalized method of moments system estimations with data from the World Bank Global Financial Development database, to explain the evolution of the bank non-performing-loans-to-total-loans ratio. The results obtained provide clear evidence that banks with high profitability, benefiting from market stability and located in countries with increasing economic growth are not expected to have high values of the non-performing-loans-to-total-loans ratio. On the other hand, high values of this ratio are robustly associated with an increase of the bank-cost-to-income ratio, market concentration, and bank regulation. The paper also contributes to the literature by assessing the relevance of the level of each country’s income and economic integration. Overall, the results obtained reveal few differences between high-income and non-high-income countries and between Organization for Economic Cooperation and Development (OECD) countries and non-OECD countries. However, considering only the years after the onset of the global financial crisis (2009–2019), there is robust evidence that bank regulation contributed to a decrease in the non-performing-loans-to-total-loans ratio, but only in non-high-income countries and non-OECD countries. Finally, the results for all considered panels, clearly show that the promotion of economic growth is always the best way to assure a decrease in the non-performing-loans-to-total-loans ratio, reducing the likelihood of banking losses as well as potential financial crisis.

Suggested Citation

  • Cândida Ferreira, 2022. "Determinants of Non-performing Loans: A Panel Data Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 28(3), pages 133-153, November.
  • Handle: RePEc:kap:iaecre:v:28:y:2022:i:3:d:10.1007_s11294-022-09860-9
    DOI: 10.1007/s11294-022-09860-9
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    2. Jihen Bouslimi & Abdelaziz Hakimi & Taha Zaghdoudi & Kais Tissaoui, 2024. "The complex relationship between credit and liquidity risks: a linear and non-linear analysis for the banking sector," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.

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    More about this item

    Keywords

    Bank risk; Non-performing loans; Bank performance; Bank market conditions; Panel estimates;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • F39 - International Economics - - International Finance - - - Other
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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