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F. Zollo, A. Bessi, M. Vicario, A. Caldarelli, L. Shekhtman, S. Havlin, W. Quattrociocchi
PLOS ONE
60 views
DebtRank: A microscopic foundation for shock propagation
M. Bardoscia, S. Battiston, F. Caccioli, G. Caldarelli
PLOS ONE
104 views
The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market
F. Lillo, P. Barucca
Computational Management Science
30 views
Random close packing fractions of lognormal distributions of hard spheres
R. Farr
Powder Technology
72 views
How much can we influence the rate of innovation?
T. Fink, M. Reeves
Sub. to
Science Advances
10 views
Photonic Maxwell’s Demon
M. Vidrighin, O. Dahlsten, M. Barbieri, M. Kim, V. Vedral, I. Walmsley
Physical Review Letters
63 views
The mise en scene of memristive networks: effective memory, dynamics and learning
F. Caravelli
International Journal of Parallel, Emergent and Distributed Systems
98 views
Bootstrapping topology and systemic risk of complex network using the fitness model
N. Musmeci, S. Battiston, G. Caldarelli, M. Puliga, A. Gabrielli
Journal of Statistical Physics
85 views
Serendipity and strategy in rapid innovation
T. Fink, M. Reeves, R. Palma, R. Farr
Nature Communications
194 views
Entanglement typicality
O. Dahlsten, C. Lupo, S. Mancini, A. Serafini
Journal of Physics A
103 views
Searching for Great Strategies
T. Fink, P. Ghemawat, M. Reeves
Strategy Science
78 views
Low-temperature behaviour of social and economic networks
D. Garlaschelli, S. Ahnert, T. Fink, G. Caldarelli
Entropy
111 views
How predictable is technological progress?
D. Farmer, F. Lafond
Research Policy
50 views
76 papers
Pathways towards instability in financial networks
M. Bardoscia, S. Battiston, F. Caccioli, G. Caldarelli
Nature Communications
8, 14416 (2017)
Following the financial crisis of 2007–2008, a deep analogy between the origins of instability in financial systems and complex ecosystems has been pointed out: in both cases, topological features of network structures influence how easily distress can spread within the system. However, in financial network models, the details of how financial institutions interact typically play a decisive role, and a general understanding of precisely how network topology creates instability remains lacking. Here we show how processes that are widely believed to stabilize the financial system, that is, market integration and diversification, can actually drive it towards instability, as they contribute to create cyclical structures which tend to amplify financial distress, thereby undermining systemic stability and making large crises more likely. This result holds irrespective of the details of how institutions interact, showing that policy- relevant analysis of the factors affecting financial stability can be carried out while abstracting away from such details.
Stabilitätspolitik macht Banken instabil
Pathways towards instability in financial networks
Spektrum.de, 2017-04-06
Economics: Complexity may undermine the stability of the financial system
Pathways towards instability in financial networks
Nature Asia, 2017-02-22
Fik faktorerne, som skulle stabilisere finansmarkedet, det i stedet til at bryde sammen?
Pathways towards instability in financial networks
Ingenioren, 2017-02-23
Policies believed to stabilize the financial system may actually do the opposite, study finds
Pathways towards instability in financial networks
Phys.org, 2017-05-05