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The Cross-Section of Interbank Rates: A Nonparametric Empirical Investigation

Author

Listed:
  • Iori, G.
  • Kapar, B.
  • Olmo, J.
Abstract
This paper analyzes the distribution of lending and borrowing credit spreads in the European interbank market conditional on main features of banks such as their size, operating currency and nationality. This is done by means of nonparametric kernel estimation methods for the cross-sectional density of interbank funding rates over a large sample of European banks trading in the e-MID market. The analysis is repeated over consecutive non-overlapping periods in order to assess and compare the effect of the factors during crisis and non-crisis periods. We find evidence of important differences between the borrowing and lending segment of the interbank market that are augmented during crises periods. Our results strongly support the existence of a size effect in the borrowing market. Largest banks enjoy the highest lending rates and the lowest borrowing rates. The collapse of Lehman Brothers accentuates the differences in funding conditions. In both borrowing and lending segments, crises are corresponded by high volatilities in daily funding costs. Banks using the Euro currency and in countries not affected by sovereign debt crises are benefited by lower funding costs. Our nonparametric analysis of densities conditional on banks' nationality suggests that distress in the interbank market can serve as an early warning indicator of sovereign risk.

Suggested Citation

  • Iori, G. & Kapar, B. & Olmo, J., 2012. "The Cross-Section of Interbank Rates: A Nonparametric Empirical Investigation," Working Papers 12/03, Department of Economics, City University London.
    • Handle: RePEc:cty:dpaper:12/03
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    File URL: https://openaccess.city.ac.uk/id/eprint/1613/1/The_Cross_Section_of_Interbank_Rates_1203.pdf
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    References listed on IDEAS

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    Cited by:

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    2. Miguel Sarmiento & Jorge Cely & Carlos León, 2015. "Monitoring the Unsecured Interbank Funds Market," Borradores de Economia 14080, Banco de la Republica.
    3. Annika Birch & Tomaso Aste, 2014. "Systemic Losses Due to Counter Party Risk in a Stylized Banking System," Papers 1402.3688, arXiv.org.
    4. Olivier Brossard & Susanna Saroyan, 2016. "Hoarding and short-squeezing in times of crisis: Evidence from the Euro overnight money market," Post-Print hal-01293693, HAL.
    5. Anastasios Demertzidis & Vahidin Jeleskovic, 2021. "Empirical Estimation of Intraday Yield Curves on the Italian Interbank Credit Market e-MID," JRFM, MDPI, vol. 14(5), pages 1-23, May.
    6. Brossard, Olivier & Saroyan, Susanna, 2016. "Hoarding and short-squeezing in times of crisis: Evidence from the Euro overnight money market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 163-185.
    7. Vahidin Jeleskovic & Anastasios Demertzidis, 2018. "Comparing different methods for the estimation of interbank intraday yield curves," MAGKS Papers on Economics 201839, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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    More about this item

    Keywords

    e-MID Interbank Market; Financial Crisis; Nonparametric kernel estimation; Sovereign risk; Systemic Risk;
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