A biological approach for financial network contagion based on the Susceptible - Infected - Recovered (SIR) model
We will present the purpose, structure and prospective extensions of the Susceptible InfectedRecovered ( sir ) Approach for Financial Network Contagion Model (version 2, finsir for short) for NetLogo version 4.1.2. This model seeks to model the behavior and dynamics of Credit Default Swaps ( cds ) m...
Guardado en:
Autor principal: | |
---|---|
Formato: | Artículo científico |
Publicado: |
Universidad Autónoma Metropolitana Unidad Azcapotzalco
2013
|
Materias: | |
Acceso en línea: | http://www.redalyc.org/articulo.oa?id=41331033006 http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=mx/mx-022&d=41331033006oai |
Aporte de: |
id |
I16-R122-41331033006oai |
---|---|
record_format |
dspace |
institution |
Consejo Latinoamericano de Ciencias Sociales |
institution_str |
I-16 |
repository_str |
R-122 |
collection |
Red de Bibliotecas Virtuales de Ciencias Sociales (CLACSO) |
topic |
Economía y Finanzas Financial crises Epidemiological models of financial networks Agent-based modeling Credit Default Swaps |
spellingShingle |
Economía y Finanzas Financial crises Epidemiological models of financial networks Agent-based modeling Credit Default Swaps Eloy Fisher A biological approach for financial network contagion based on the Susceptible - Infected - Recovered (SIR) model |
topic_facet |
Economía y Finanzas Financial crises Epidemiological models of financial networks Agent-based modeling Credit Default Swaps |
description |
We will present the purpose, structure and prospective extensions of the Susceptible InfectedRecovered ( sir ) Approach for Financial Network Contagion Model (version 2, finsir for short) for NetLogo version 4.1.2. This model seeks to model the behavior and dynamics of Credit Default Swaps ( cds ) markets. After framing the finsir model, its agents, variables and interactions within a broader set of questions regarding financial markets and the current literature, within this highly restrictive toy computational model, we find that shocks in this financial market exhibit complex evolutionary dynamics that either tend to increasingly fragile states or the elimination of a high number of competitors, in detriment to a more decentralized market order. Given the current incompleteness of the model, we must acknowledge that some of the design assumptions will be approximate and tentative. |
format |
Artículo científico Artículo científico |
author |
Eloy Fisher |
author_facet |
Eloy Fisher |
author_sort |
Eloy Fisher |
title |
A biological approach for financial network contagion based on the Susceptible - Infected - Recovered (SIR) model |
title_short |
A biological approach for financial network contagion based on the Susceptible - Infected - Recovered (SIR) model |
title_full |
A biological approach for financial network contagion based on the Susceptible - Infected - Recovered (SIR) model |
title_fullStr |
A biological approach for financial network contagion based on the Susceptible - Infected - Recovered (SIR) model |
title_full_unstemmed |
A biological approach for financial network contagion based on the Susceptible - Infected - Recovered (SIR) model |
title_sort |
biological approach for financial network contagion based on the susceptible - infected - recovered (sir) model |
publisher |
Universidad Autónoma Metropolitana Unidad Azcapotzalco |
publishDate |
2013 |
url |
http://www.redalyc.org/articulo.oa?id=41331033006 http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=mx/mx-022&d=41331033006oai |
work_keys_str_mv |
AT eloyfisher abiologicalapproachforfinancialnetworkcontagionbasedonthesusceptibleinfectedrecoveredsirmodel AT eloyfisher biologicalapproachforfinancialnetworkcontagionbasedonthesusceptibleinfectedrecoveredsirmodel |
bdutipo_str |
Repositorios |
_version_ |
1764820423837483008 |