Previous literature shows that financial networks are sometimes described by fuzzy data. This paper extends classical models of financial contagion to the framework of fuzzy financial networks. The degree of default of a bank in the network consists in a (real valued) measure of the fuzzy default and it is computed as a fixed point for the dynamics of a modified ”fictitious default algorithm”. Finally, the algorithm is implemented in MATLAB and tested numerically on a real data set.

Fuzzy Contagion Cascades in Financial Networks

Giuseppe De Marco;Chiara Donnini;Federica Gioia;Francesca Perla
2018

Abstract

Previous literature shows that financial networks are sometimes described by fuzzy data. This paper extends classical models of financial contagion to the framework of fuzzy financial networks. The degree of default of a bank in the network consists in a (real valued) measure of the fuzzy default and it is computed as a fixed point for the dynamics of a modified ”fictitious default algorithm”. Finally, the algorithm is implemented in MATLAB and tested numerically on a real data set.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/65169
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact