Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems

Detalhes bibliográficos
Autor(a) principal: Pinheiro, Leonardo dos Santos
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: http://hdl.handle.net/10438/16589
Resumo: This dissertation studies the spread of crisis over the financial system. More specifically, we aim to develop models that allow us to simulate how an economic shock strikes a few financial agents and from them propagate over the system, becoming a systemic problem. The dissertation is composed by the introduction and by two chapters. In the first chapter, we model the spread of crisis over investment funds using network science. Combining two models of propagation in financial networks, one simulating the propagation of losses in bipartite networks of assets and financial agents and the other simulating the propagation of losses in a network of cross-holdings of shares among financial agents, we develop an algorithm to simulate the spread of losses utilizing both mechanisms and we use this algorithm to simulate a crisis in the Brazilian market of investment funds. In Chapter 2 we develop an agent-based simulation model, using financial agents to simulate the propagation of a shock affecting the repo market. We also create an artificial market consisting of banks, hedge funds and money market funds, and simulate the spread of a liquidity shock striking a risky securitized asset used as collateral in repurchase agreements.
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spelling Pinheiro, Leonardo dos SantosEscolas::EMApArmstrong, MargaretZubelli, Jorge P.Coelho, Flávio Codeço2016-06-13T17:06:34Z2016-06-13T17:06:34Z2016-05-06PINHEIRO, Leonardo dos Santos. Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems. Dissertação (Mestrado em Matemática Aplicada) - Escola de Matemática Aplicada, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2016.http://hdl.handle.net/10438/16589This dissertation studies the spread of crisis over the financial system. More specifically, we aim to develop models that allow us to simulate how an economic shock strikes a few financial agents and from them propagate over the system, becoming a systemic problem. The dissertation is composed by the introduction and by two chapters. In the first chapter, we model the spread of crisis over investment funds using network science. Combining two models of propagation in financial networks, one simulating the propagation of losses in bipartite networks of assets and financial agents and the other simulating the propagation of losses in a network of cross-holdings of shares among financial agents, we develop an algorithm to simulate the spread of losses utilizing both mechanisms and we use this algorithm to simulate a crisis in the Brazilian market of investment funds. In Chapter 2 we develop an agent-based simulation model, using financial agents to simulate the propagation of a shock affecting the repo market. We also create an artificial market consisting of banks, hedge funds and money market funds, and simulate the spread of a liquidity shock striking a risky securitized asset used as collateral in repurchase agreements.Esta dissertação estuda a propagação de crises sobre o sistema financeiro. Mais especi- ficamente, busca-se desenvolver modelos que permitam simular como um determinado choque econômico atinge determinados agentes do sistema financeiro e apartir dele se propagam, transformando-se em um problema sistêmico. A dissertação é dividida em dois capítulos,além da introdução. O primeiro capítulo desenvolve um modelo de propa- gação de crises em fundos de investimento baseado em ciência das redes.Combinando dois modelos de propagação em redes financeiras, um simulando a propagação de perdas em redes bipartites de ativos e agentes financeiros e o outro simulando a propagação de perdas em uma rede de investimentos diretos em quotas de outros agentes, desenvolve-se um algoritmo para simular a propagação de perdas através de ambos os mecanismos e utiliza-se este algoritmo para simular uma crise no mercado brasileiro de fundos de investimento. No capítulo 2,desenvolve-se um modelo de simulação baseado em agentes, com agentes financeiros, para simular propagação de um choque que afeta o mercado de operações compromissadas.Criamos também um mercado artificial composto por bancos, hedge funds e fundos de curto prazo e simulamos a propagação de um choque de liquidez sobre um ativo de risco securitizando utilizado para colateralizar operações compromissadas dos bancos.engFinanças - Modelos matemáticoscrise financeiraRisco financeiroMatemáticaFinanças - Modelos matemáticosCrise financeiraRisco financeiroFundos de investimentoContagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systemsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINALFinancial Contagion - Dissertação - 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dc.title.eng.fl_str_mv Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
title Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
spellingShingle Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
Pinheiro, Leonardo dos Santos
Finanças - Modelos matemáticos
crise financeira
Risco financeiro
Matemática
Finanças - Modelos matemáticos
Crise financeira
Risco financeiro
Fundos de investimento
title_short Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
title_full Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
title_fullStr Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
title_full_unstemmed Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
title_sort Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems
author Pinheiro, Leonardo dos Santos
author_facet Pinheiro, Leonardo dos Santos
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EMAp
dc.contributor.member.none.fl_str_mv Armstrong, Margaret
Zubelli, Jorge P.
dc.contributor.author.fl_str_mv Pinheiro, Leonardo dos Santos
dc.contributor.advisor1.fl_str_mv Coelho, Flávio Codeço
contributor_str_mv Coelho, Flávio Codeço
dc.subject.por.fl_str_mv Finanças - Modelos matemáticos
crise financeira
Risco financeiro
topic Finanças - Modelos matemáticos
crise financeira
Risco financeiro
Matemática
Finanças - Modelos matemáticos
Crise financeira
Risco financeiro
Fundos de investimento
dc.subject.area.por.fl_str_mv Matemática
dc.subject.bibliodata.por.fl_str_mv Finanças - Modelos matemáticos
Crise financeira
Risco financeiro
Fundos de investimento
description This dissertation studies the spread of crisis over the financial system. More specifically, we aim to develop models that allow us to simulate how an economic shock strikes a few financial agents and from them propagate over the system, becoming a systemic problem. The dissertation is composed by the introduction and by two chapters. In the first chapter, we model the spread of crisis over investment funds using network science. Combining two models of propagation in financial networks, one simulating the propagation of losses in bipartite networks of assets and financial agents and the other simulating the propagation of losses in a network of cross-holdings of shares among financial agents, we develop an algorithm to simulate the spread of losses utilizing both mechanisms and we use this algorithm to simulate a crisis in the Brazilian market of investment funds. In Chapter 2 we develop an agent-based simulation model, using financial agents to simulate the propagation of a shock affecting the repo market. We also create an artificial market consisting of banks, hedge funds and money market funds, and simulate the spread of a liquidity shock striking a risky securitized asset used as collateral in repurchase agreements.
publishDate 2016
dc.date.accessioned.fl_str_mv 2016-06-13T17:06:34Z
dc.date.available.fl_str_mv 2016-06-13T17:06:34Z
dc.date.issued.fl_str_mv 2016-05-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv PINHEIRO, Leonardo dos Santos. Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems. Dissertação (Mestrado em Matemática Aplicada) - Escola de Matemática Aplicada, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2016.
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10438/16589
identifier_str_mv PINHEIRO, Leonardo dos Santos. Contagion in financial networks: a network theory and agent-based approaches to modeling the spread of risk in financial systems. Dissertação (Mestrado em Matemática Aplicada) - Escola de Matemática Aplicada, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2016.
url http://hdl.handle.net/10438/16589
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
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instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
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repository.name.fl_str_mv Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv
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