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Real-Valued Systemic Risk Measures

Author

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  • Alessandro Doldi

    (Dipartimento di Matematica, Università degli Studi di Milano, Via Saldini 50, 20133 Milano, Italy)

  • Marco Frittelli

    (Dipartimento di Matematica, Università degli Studi di Milano, Via Saldini 50, 20133 Milano, Italy)

Abstract

We describe the axiomatic approach to real-valued Systemic Risk Measures, which is a natural counterpart to the nowadays classical univariate theory initiated by Artzner et al. in the seminal paper “Coherent measures of risk”, Math. Finance, (1999). In particular, we direct our attention towards Systemic Risk Measures of shortfall type with random allocations, which consider as eligible, for securing the system, those positions whose aggregated expected utility is above a given threshold. We present duality results, which allow us to motivate why this particular risk measurement regime is fair for both the single agents and the whole system at the same time. We relate Systemic Risk Measures of shortfall type to an equilibrium concept, namely a Systemic Optimal Risk Transfer Equilibrium, which conjugates Bühlmann’s Risk Exchange Equilibrium with a capital allocation problem at an initial time. We conclude by presenting extensions to the conditional, dynamic framework. The latter is the suitable setup when additional information is available at an initial time.

Suggested Citation

  • Alessandro Doldi & Marco Frittelli, 2021. "Real-Valued Systemic Risk Measures," Mathematics, MDPI, vol. 9(9), pages 1-24, April.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:1016-:d:546839
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