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Tratando de responder está pregunta, realicé un estudio, recolentando la información del movimiento de los índices a lo \nlargo de varios años. Posteriormente separé la información en periodos mensuales. Una vez estructurado de esta forma, obtuve las correlaciones entre los diferentes índices y con base\nen esto poder crear las distintas redes de estudio. Finalmente, obtuve las centralidades de las mismas.\n\n\n* Centralidad de grado\n![](https://github.com/KenatSF/Heavy-Indexes/blob/main/img/1_degree.png)\n* Centralidad de cercanía\n![](https://github.com/KenatSF/Heavy-Indexes/blob/main/img/2_betweenness.png)\n* Eigenvector\n![](https://github.com/KenatSF/Heavy-Indexes/blob/main/img/3_eigenvector.png)\n* Pagerank\n![](https://github.com/KenatSF/Heavy-Indexes/blob/main/img/5_clustering.png)\n\nLos índices \"más\" importantes que el estudio mostró son:\n\n* AEX - Amsterdam Exchange Index\n* ATX - Austrian Traded Index\n* DAX - Deutscher Aktien IndeX\n* DJI - Dow Jones Industrial Average (NY)\n* Euro Stoxx 50 - Stock index of Eurozone \n* FTSE MIB - Stock market index for the Borsa Italiana\n* RTSI - Russia Trading System\n\nNote: Aunque dentro del estudio no destacó, todo inversor sabe que es muy importante mantener un ojo sobre este índice:\n* S\u0026P500 - Standard \u0026 Poor's 500 Index\n\n\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkenatsf%2Fheavy-indexes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkenatsf%2Fheavy-indexes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkenatsf%2Fheavy-indexes/lists"}