Key to our construction is the philosophy that there is no distinction between risk and capital requirements, as recently described in Artzner, Delbaen & Koch-Medina (2009). Such an approach is ideal for regulatory purposes. The suggested systemic risk measures express systemic risk in terms of capital endowments of the financial firms. These endowments constitute the eligible assets of the procedure. Acceptability is defined in terms of cash flows to the entire society and specified by a standard acceptance set of an arbitrary scalar risk measure. Random cash flows can be derived conditional on the capital endowments of the firms within a large class of models of financial systems. These may include both local and global interaction. The resulting systemic risk measures are set-valued and allow a mathematical analysis on the basis of set-valued convex analysis.
We explain the conceptual framework and the definition of systemic risk measures, provide algorithms for their computation, and illustrate their application in numerical case studies - e.g. in the network models of Eisenberg & Noe (2001), Cifuentes, Shin & Ferrucci (2005), and Amini, Filipovic & Minca (2013).
This is joint work with Zachary G. Feinstein (Washington University in St. Louis) and Birgit Rudloff (Princeton University).
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