Literature DB >> 17280126

Fitness model for the Italian interbank money market.

G De Masi1, G Iori, G Caldarelli.   

Abstract

We use the theory of complex networks in order to quantitatively characterize the formation of communities in a particular financial market. The system is composed by different banks exchanging on a daily basis loans and debts of liquidity. Through topological analysis and by means of a model of network growth we can determine the formation of different group of banks characterized by different business strategy. The model based on Pareto's law makes no use of growth or preferential attachment and it reproduces correctly all the various statistical properties of the system. We believe that this network modeling of the market could be an efficient way to evaluate the impact of different policies in the market of liquidity.

Year:  2006        PMID: 17280126     DOI: 10.1103/PhysRevE.74.066112

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  16 in total

1.  DebtRank: too central to fail? Financial networks, the FED and systemic risk.

Authors:  Stefano Battiston; Michelangelo Puliga; Rahul Kaushik; Paolo Tasca; Guido Caldarelli
Journal:  Sci Rep       Date:  2012-08-02       Impact factor: 4.379

2.  Evolution of controllability in interbank networks.

Authors:  Danilo Delpini; Stefano Battiston; Massimo Riccaboni; Giampaolo Gabbi; Fabio Pammolli; Guido Caldarelli
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

3.  DebtRank: A Microscopic Foundation for Shock Propagation.

Authors:  Marco Bardoscia; Stefano Battiston; Fabio Caccioli; Guido Caldarelli
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

4.  Reconstructing propagation networks with temporal similarity.

Authors:  Hao Liao; An Zeng
Journal:  Sci Rep       Date:  2015-06-18       Impact factor: 4.379

5.  Precise calculation of a bond percolation transition and survival rates of nodes in a complex network.

Authors:  Hirokazu Kawamoto; Hideki Takayasu; Henrik Jeldtoft Jensen; Misako Takayasu
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

6.  Reciprocity of weighted networks.

Authors:  Tiziano Squartini; Francesco Picciolo; Franco Ruzzenenti; Diego Garlaschelli
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

7.  Systemic Risk Analysis on Reconstructed Economic and Financial Networks.

Authors:  Giulio Cimini; Tiziano Squartini; Diego Garlaschelli; Andrea Gabrielli
Journal:  Sci Rep       Date:  2015-10-28       Impact factor: 4.379

8.  Distress Propagation in Complex Networks: The Case of Non-Linear DebtRank.

Authors:  Marco Bardoscia; Fabio Caccioli; Juan Ignacio Perotti; Gianna Vivaldo; Guido Caldarelli
Journal:  PLoS One       Date:  2016-10-04       Impact factor: 3.240

9.  Discovering SIFIs in Interbank Communities.

Authors:  Nicolò Pecora; Pablo Rovira Kaltwasser; Alessandro Spelta
Journal:  PLoS One       Date:  2016-12-21       Impact factor: 3.240

10.  A network analysis of countries' export flows: firm grounds for the building blocks of the economy.

Authors:  Guido Caldarelli; Matthieu Cristelli; Andrea Gabrielli; Luciano Pietronero; Antonio Scala; Andrea Tacchella
Journal:  PLoS One       Date:  2012-10-19       Impact factor: 3.240

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