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Non-Performing Loans and Macroeconomics Factors: The Italian Case

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  • Matteo Foglia

    (Department of Economics, “G. d’Annunzio” University of Pescara, Viale Pindaro 42, 65127 Pescara, Italy)

Abstract

The purpose of this work is to investigate the influence of macroeconomics determinants on non-performing loans (NPLs) in the Italian banking system over the period 2008Q3–2020Q4. We mainly contribute to the literature by being the first empirical article to study this relationship in the Italian context in the recent period, thus providing fresh evidence on the macroeconomic impact on NPLs, i.e., on the credit risk of Italian banks. By employing the Autoregressive Distributed Lag (ARDL) cointegration model, we are able to investigate the short and long-run effects of macroeconomic factors on NPLs. The empirical findings show that gross domestic product and public debt have a negative impact on NPLs. On the other hand, we find that the unemployment rate and domestic credit positively influence impaired loans. Finally, we find evidence of the “gamble for resurrection” approach, i.e., Italian banks tend to support “zombie firms”.

Suggested Citation

  • Matteo Foglia, 2022. "Non-Performing Loans and Macroeconomics Factors: The Italian Case," Risks, MDPI, vol. 10(1), pages 1-13, January.
  • Handle: RePEc:gam:jrisks:v:10:y:2022:i:1:p:21-:d:723008
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    References listed on IDEAS

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    4. 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.
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    7. Maria Karadima & Helen Louri, 2022. "Government debt accumulation and non-performing loans: An ARDL bounds testing approach," Economics and Business Letters, Oviedo University Press, vol. 11(4), pages 150-160.

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