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Tracking Variation in Systemic Risk at US Banks During 1974-2013

Author

Listed:
  • Armen Hovakimian

    (Baruch College)

  • Edward Kane,

    (Boston College)

  • Luc Laeven

    (European Central Bank)

Abstract

This paper proposes a theoretically based and easy-to-implement way to measure the systemic risk of financial institutions using publicly available accounting and stock market data. The measure models the credit enhancement taxpayers provide to individual banks in the Merton tradition (1974) as a combination put option for the deep tail of bank losses and a knock-in stop-loss call on bank assets. This model expresses the value of taxpayer loss exposure from a string of defaults as the value of this combination option written on the portfolio of industry assets. The exercise price of the call is the face value of the debt of the entire sector. We conceive of an individual bank’s systemic risk as its contribution to the value of this sectorwide option on the financial safety net. To the extent that authorities are slow to see bank losses or reluctant to exercise the call, the government itself becomes a secondary source of systemic risk. We apply our model to quarterly data over the period 1974-2013. The model indicates that systemic risk reached unprecedented highs during the financial crisis years 2008- 2009, and that bank size, leverage, and asset risk are key drivers of systemic risk.

Suggested Citation

  • Armen Hovakimian & Edward Kane, & Luc Laeven, 2015. "Tracking Variation in Systemic Risk at US Banks During 1974-2013," Working Papers Series 16, Institute for New Economic Thinking.
  • Handle: RePEc:thk:wpaper:16
    DOI: 10.2139/ssrn.2642852
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    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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