• Media type: E-Book
  • Title: Computing the Probability of a Financial Market Failure : A New Measure of Systemic Risk
  • Contributor: Jarrow, Robert A. [VerfasserIn]; Protter, Philip [VerfasserIn]; Quintos, Alejandra [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2021]
  • Extent: 1 Online-Ressource (28 p)
  • Language: English
  • DOI: 10.2139/ssrn.3946914
  • Identifier:
  • Keywords: Systemic risk ; market failure probabilities ; G-SIBs ; multivariate Cox processes
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 21, 2021 erstellt
  • Description: This paper characterizes the probability of a market failure defined as the default of two or more globally systemically important banks (G-SIBs) in a small interval of time. The default probabilities of the G-SIBs are correlated through the possible existence of a market-wide stress event. The characterization employs a multivariate Cox process across the G-SIBs, which allows us to relate our work to the existing literature on intensity-based models. Various theorems related to market failure probabilities are derived, including the probability of a market failure due to two banks defaulting over the next infinitesimal interval, the probability of a catastrophic market failure, the impact of increasing the number of G-SIBs in an economy, and the impact of changing the initial conditions of the economy's state variables. We also show that if there are too many G-SIBs, a market failure is inevitable, i.e., the probability of a market failure tends to 1
  • Access State: Open Access