Search results for "Quantitative Finance - General Finance"

showing 10 items of 12 documents

The community structure of the global corporate network.

2013

We investigate the community structure of the global ownership network of transnational corporations. We find a pronounced organization in communities that cannot be explained by randomness. Despite the global character of this network, communities reflect first of all the geographical location of firms, while the industrial sector plays only a marginal role. We also analyze the network in which the nodes are the communities and the links are obtained by aggregating the links among firms belonging to pairs of communities. We analyze the network centrality of the top 50 communities and we provide the first quantitative assessment of the financial sector role in connecting the global economy.

Computer and Information SciencesPhysics - Physics and SocietyEconomicsEconomic ModelsPopulation DynamicsSocial SciencesSpatial Economic Analysislcsh:MedicineFOS: Physical sciencesGenetics and Molecular Biology1100 General Agricultural and Biological SciencesPhysics and Society (physics.soc-ph)Economic GeographySystems ScienceFOS: Economics and businessDevelopment Economics1300 General Biochemistry Genetics and Molecular BiologyHumansIndustrylcsh:ScienceStructure of Markets1000 MultidisciplinaryGeographyApplied MathematicsPhysicslcsh:RInternational AgenciesIndustrial OrganizationComplex SystemsGeneral MedicineOrganizational Culture10003 Department of Banking and FinanceEconomic Analysis330 EconomicsMathematical EconomicsGeneral BiochemistryPhysical SciencesEarth SciencesInterdisciplinary Physicslcsh:QEconomic DevelopmentGeneral Agricultural and Biological SciencesQuantitative Finance - General FinanceGeneral Finance (q-fin.GN)MathematicsResearch ArticlePloS one
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Networked relationships in the e-MID Interbank market: A trading model with memory

2014

Interbank markets are fundamental for bank liquidity management. In this paper, we introduce a model of interbank trading with memory. Our model reproduces features of preferential trading patterns in the e-MID market recently empirically observed through the method of statistically validated networks. The memory mechanism is used to introduce a proxy of trust in the model. The key idea is that a lender, having lent many times to a borrower in the past, is more likely to lend to that borrower again in the future than to other borrowers, with which the lender has never (or has in- frequently) interacted. The core of the model depends on only one parameter representing the initial attractiven…

Economics and EconometricsControl and OptimizationComputer scienceHBJava/MasonMicroeconomicsFOS: Economics and businessInterbank marketOrder (exchange)Statistically validated networkEconometricsEconomicsNetwork formationProxy (statistics)Structure (mathematical logic)Statistical Finance (q-fin.ST)Applied MathematicsQuantitative Finance - Statistical FinanceLiquidity riskVariety (cybernetics)Network formationCore (game theory)Reciprocity (network science)Interbank lending marketQuantitative Finance - General FinanceGeneral Finance (q-fin.GN)
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The network of global corporate control.

2011

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic “super-entity” that raises new important issues both for researchers and policy make…

FOS: Computer and information sciencesInternationalityFinancial ManagementEconomicsFinancial intermediarylcsh:MedicineNetwork theorySocial and Behavioral Sciences01 natural sciences010305 fluids & plasmasMicroeconomics050207 economicslcsh:ScienceMutual fundIndustrial organizationProfessional CorporationsMultidisciplinaryCorporate governanceApplied MathematicsPhysics05 social sciencesCommerceComputer Science - Social and Information NetworksComplex SystemsSocial Control PoliciesCore (game theory)Interdisciplinary PhysicsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceResearch ArticlePhysics - Physics and SocietyControl (management)FOS: Physical sciencesSpatial Economic AnalysisPhysics and Society (physics.soc-ph)BiologyStatistical MechanicsFOS: Economics and businessFinancial management0502 economics and business0103 physical sciencesownership corporate control network theoryStructure of MarketsSocial and Information Networks (cs.SI)business.industryFinancial marketlcsh:RIndustrial Organizationlcsh:QbusinessMathematicsPloS one
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The multiplex structure of interbank networks

2013

The interbank market has a natural multiplex network representation. We employ a unique database of supervisory reports of Italian banks to the Banca d'Italia that includes all bilateral exposures broken down by maturity and by the secured and unsecured nature of the contract. We find that layers have different topological properties and persistence over time. The presence of a link in a layer is not a good predictor of the presence of the same link in other layers. Maximum entropy models reveal different unexpected substructures, such as network motifs, in different layers. Using the total interbank network or focusing on a specific layer as representative of the other layers provides a po…

Financial economicsComputer scienceNetwork theoryjel:C4901 natural sciencesjel:G21FOS: Economics and businessInterbank marketInterbank network0502 economics and business0103 physical sciencesSystemic riskSystemic riskEconometrics050207 economicsLayer (object-oriented design)010306 general physicsjel:E51Principle of maximum entropy05 social sciencesRepresentation (systemics)Maturity (finance)interbank market network theory systemic riskNetwork theoryInterbank lending marketGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceGeneral Economics Econometrics and FinanceFinance
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Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach.

2016

We investigate the trading behavior of Finnish individual investors trading the stocks selected to compute the OMXH25 index in 2003 by tracking the individual daily investment decisions. We verify that the set of investors is a highly heterogeneous system under many aspects. We introduce a correlation based method that is able to detect a hierarchical structure of the trading profiles of heterogeneous individual investors. We verify that the detected hierarchical structure is highly overlapping with the cluster structure obtained with the approach of statistically validated networks when an appropriate threshold of the hierarchical trees is used. We also show that the combination of the cor…

Index (economics)Computer scienceGeneral MathematicsGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmasFOS: Economics and businessSet (abstract data type)CorrelationIndividual investorsStock exchangeStatistically validated network0103 physical sciencesCluster (physics)Econometrics010306 general physicsStructure (mathematical logic)Quantitative Finance - Trading and Market Microstructureta114EconophysicsApplied Mathematicsta111EconophysicStatistical and Nonlinear PhysicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Trading and Market Microstructure (q-fin.TR)Correlation-based networkInvestment decisionsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceChaos, Solitons & Fractals
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Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity

2014

We present a Bayesian framework for estimating the customer lifetime value (CLV) and the customer equity (CE) based on the purchasing behavior deducible from the market surveys on customer purchasing behavior. The proposed framework systematically addresses the challenges faced when the future value of customers is estimated based on survey data. The scarcity of the survey data and the sampling variance are countered by utilizing the prior information and quantifying the uncertainty of the CE and CLV estimates by posterior distributions. Furthermore, information on the purchase behavior of the customers of competitors available in the survey data is integrated to the framework. The introduc…

J.1FOS: Computer and information sciencesComputer sciencemedia_common.quotation_subjectEconomics Econometrics and Finance (miscellaneous)G.3Future valueCustomer relationship managementStatistics - ApplicationsScarcityFOS: Economics and businessEconometricscustomer equitysurveyApplications (stat.AP)media_commonMarketingbusiness.industry62N02 62-07 62F15Customer lifetime valueCompetitor analysisBayesian estimationPurchasingbrand switchingCustomer equitySurvey data collectioncustomer lifetime valueQuantitative Finance - General FinancebusinessGeneral Finance (q-fin.GN)G.3; J.1
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Dynamics of fintech terms in news and blogs and specialization of companies of the fintech industry

2020

We perform a large scale analysis of a list of fintech terms in (i) news and blogs in English language and (ii) professional descriptions of companies operating in many countries. The occurrence and co-occurrence of fintech terms and locutions shows a progressive evolution of the list of fintech terms in a compact and coherent set of terms used worldwide to describe fintech business activities. By using methods of complex networks that are specifically designed to deal with heterogeneous systems, our analysis of a large set of professional descriptions of companies shows that companies having fintech terms in their description present over-expressions of specific attributes of country, muni…

Physics - Physics and SocietyApplied MathematicsEconomic sectorFintech Statistically validated networksGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsEnglish languagePhysics and Society (physics.soc-ph)Complex networkBusiness activities01 natural sciencesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)010305 fluids & plasmasSet (abstract data type)FOS: Economics and businessDynamics (music)0103 physical sciencesSpecialization (functional)Business010306 general physicsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceMathematical PhysicsIndustrial organization
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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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How fair is an equitable distribution?

2006

Envy is a rather complex and irrational emotion. In general, it is very difficult to obtain a measure of this feeling, but in an economical context envy becomes an observable which can be measured. When various individuals compare their possessions, envy arises due to the inequality of their different allocations of commodities and different preferences. In this paper we show that an equitable distribution of goods does not guarantee a state of fairness between agents and in general that envy cannot be controlled by tuning the distribution of goods.

Statistics and ProbabilityPhysics - Physics and SocietyInequalitybusiness.industrymedia_common.quotation_subjectFOS: Physical sciencesDistribution (economics)Context (language use)Physics and Society (physics.soc-ph)Condensed Matter PhysicsFOS: Economics and businessFeelingIrrational numberEconomicsEconomic modelQuantitative Finance - General FinanceGeneral Finance (q-fin.GN)businessMathematical economicsmedia_commonPhysica A: Statistical Mechanics and its Applications
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