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Derivatives Holdings and Systemic Risk in the U.S. Banking Sector

Author

Listed:
  • María Rodríguez-Moreno

    (European Central Bank)

  • Sergio Mayordomo

    (School of Economics and Business Administration, University of Navarra)

  • Juan Ignacio Peña

    (Department of Business Administration, Universidad Carlos III de Madrid)

Abstract
This paper studies the impact of the banks portfolio holdings of financial derivatives on the banks individual contribution to systemic risk over and above the effect of variables related to size, interconnectedness, substitutability, and other balance sheet information. Using a sample of 91 U.S. bank holding companies from 2002 to 2011, we compare five measures of the banks contribution to systemic risk and find that the new measure proposed in this study, Net Shapley Value, outperforms the others. Using this measure we find that the banks holdings of foreign exchange and credit derivatives increase the banks contributions to systemic risk whereas holdings of interest rate derivatives decrease it. Nevertheless, the proportion of non-performing loans over total loans and the leverage ratio have much stronger impact on systemic risk than derivatives holdings. We find that before the subprime crisis credit derivatives decreased systemic risk whereas during the crisis increased it. So, credit derivatives seemed to change their role from shock absorbers to shock issuers. This effect is not observed in the other types of derivatives.

Suggested Citation

  • María Rodríguez-Moreno & Sergio Mayordomo & Juan Ignacio Peña, 2012. "Derivatives Holdings and Systemic Risk in the U.S. Banking Sector," Faculty Working Papers 21/12, School of Economics and Business Administration, University of Navarra.
  • Handle: RePEc:una:unccee:wp2112
    as

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    File URL: http://www.unav.edu/documents/10174/6546776/1356048415_WP_UNAV_21_12.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Systemic risk; derivatives; Shapley value;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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