Diversification of investment portfolios with cryptocurrencies

Descripción del Articulo

Objective: To experimentally organize investment portfolios with crypto assets under the modern theory of investment portfolio structuring of Markowitz. Method: The research was quantitative and experimental, explaining the process of structuring investment portfolios with cryptocurrencies under Mar...

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Detalles Bibliográficos
Autor: Chambi Condori, Pedro Pablo
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/20471
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/quipu/article/view/20471
Nivel de acceso:acceso abierto
Materia:Cryptoassets
financial innovation
investment portfolios
portfolio optimization
Criptoactivos
innovación financiera
portafolios de inversión
optimización de portafolios
Descripción
Sumario:Objective: To experimentally organize investment portfolios with crypto assets under the modern theory of investment portfolio structuring of Markowitz. Method: The research was quantitative and experimental, explaining the process of structuring investment portfolios with cryptocurrencies under Markowitz's theory. Results: It was observed that the most pronounced trading period occurred from 2017 to 2018, where a higher profitability corresponds to Ethereum, followed by Bitcoin and Ripple, consequently Ethereum with the highest indicator volatility. The efficient portfolio option was obtained when 70% was invested in Bitcoin, 14% in Ethereum, 6% in Ripple and 10% in Thether and as an effect of the diversification of investment portfolios, the inverse behavior of volatility was verified. Conclusions: The study in reference demonstrated the effect of the number of assets in the formation of the investment portfolio in reducing volatility, and the options provided by the map of the efficient frontier for investors to opt for the options that better match the risk and return expectations.
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