An optimization model for minimizing systemic risk

Gian Paolo Clemente, Roy Cerqueti, Rosella Castellano, Rosanna Grassi

Research output: Contribution to journalArticle

1 Citation (Scopus)


This paper proposes an optimal allocation model with the main aim to minimize systemic risk related to the sovereign risk of a set of countries. The reference methodological environment is that of complex networks theory. Specifically, we consider the weighted clustering coefficient as a proxy of systemic risk, while the interconnections among countries are captured by the relationships among default probabilities of the set of countries under consideration. The selected optimization criterion is based on minimization of the mean absolute deviation. We perform empirical analyses to validate the theoretical predictions, and interpret the findings in the context of the proposed model.
Original languageEnglish
Pages (from-to)N/A-N/A
JournalMathematics and Financial Economics
Publication statusPublished - 2020


  • Clustering coefficient
  • Complex networks
  • Credit default swaps
  • Mean absolute deviation
  • Optimization
  • Systemic risk


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