0000000000076129

AUTHOR

Yoshi Fujiwara

showing 2 related works from this author

Backbone of credit relationships in the Japanese credit market

2016

We detect the backbone of the weighted bipartite network of the Japanese credit market relationships. The backbone is detected by adapting a general method used in the investigation of weighted networks. With this approach we detect a backbone that is statistically validated against a null hypothesis of uniform diversification of loans for banks and firms. Our investigation is done year by year and it covers more than thirty years during the period from 1980 to 2011. We relate some of our findings with economic events that have characterized the Japanese credit market during the last years. The study of the time evolution of the backbone allows us to detect changes occurred in network size,…

Physics - Physics and SocietyGeneral methodcredit marketeducationDiversification (finance)FOS: Physical sciencesNetwork sizePhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmasFOS: Economics and businesscomplex network0502 economics and business0103 physical sciencesEconometricsFraction (mathematics)050207 economicshealth care economics and organizations05 social sciencescomplex networksComplex networkSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)information filteringComputer Science ApplicationsComputational MathematicsModeling and SimulationBond marketstatistically validated networksBusinessGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceNull hypothesisEPJ Data Science
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Bank-firm credit network in Japan. An analysis of a bipartite network

2015

We present an analysis of the credit market of Japan. The analysis is performed by investigating the bipartite network of banks and firms which is obtained by setting a link between a bank and a firm when a credit relationship is present in a given time window. In our investigation we focus on a community detection algorithm which is identifying communities composed by both banks and firms. We show that the clusters obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. Specifically, we obtain communities of banks and networks …

Physics - Physics and SocietyTime FactorsFinancial networksFOS: Physical scienceslcsh:MedicineNetwork sciencePhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmasFOS: Economics and businessJapanTime windowsCarry (investment)Residence Characteristics0103 physical sciences010306 general physicsLocationEmpirical evidencelcsh:ScienceIndustrial organizationProbabilityStructure (mathematical logic)MultidisciplinaryEconomic sectorlcsh:RCommerceSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)econophysics networks communities banks firmsBipartite graphBond marketlcsh:QBusinessGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceAlgorithmsResearch Article
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