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Liquidity Risk Drivers and Bank Business Models

Author

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  • Simona Galletta

    (Department of Economics, University of Messina, Piazza Pugliatti, 1, 98122 Messina, Italy)

  • Sebastiano Mazzù

    (Department of Economics and Business, University of Catania, Corso Italia 55, 95129 Catania, Italy)

Abstract

This paper examines the bank liquidity risk while using a maturity mismatch indicator of loans and deposits (LTD m ) during a specific period. Core banking activities that are based on the process of maturity transformation are the most exposed to liquidity risk. The financial crisis in 2007–2009 highlighted the importance of liquidity to the functioning of both the financial markets and the banking sector. We investigate how characteristics of a bank, such as size, capital, and business model, are related to liquidity risk, while using a sample of European banks in the period after the financial crisis, from 2011 to 2017. While employing a generalized method of moment two-step estimator, we find that the banking size increases the liquidity risk, whereas capital is not an effective deterrent. Moreover, our findings reveal that, for savings banks, income diversification raises the liquidity risk while investment banks reliant on non-deposit funding decrease the exposure to liquidity risk.

Suggested Citation

  • Simona Galletta & Sebastiano Mazzù, 2019. "Liquidity Risk Drivers and Bank Business Models," Risks, MDPI, vol. 7(3), pages 1-18, August.
    • Handle: RePEc:gam:jrisks:v:7:y:2019:i:3:p:89-:d:260870
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    6. Berthine Nyunga Mpinda & Jules Sadefo-Kamdem & Salomey Osei & Jeremiah Fadugba, 2021. "Accuracies of Model Risks in Finance using Machine Learning," Working Papers hal-03191437, HAL.
    7. Pejman Peykani & Mostafa Sargolzaei & Mohammad Hashem Botshekan & Camelia Oprean-Stan & Amir Takaloo, 2023. "Optimization of Asset and Liability Management of Banks with Minimum Possible Changes," Mathematics, MDPI, vol. 11(12), pages 1-24, June.
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