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Afectaciones financieras en los principales países de América Latina con mayores registros de COVID-19

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  • Héctor Alonso Olivares Aguayo

    (Universidad La Salle, México)

Abstract

El objetivo de la investigación es determinar las afectaciones que ha causado la pandemia COVID-19 en los principales mercados de América Latina (Brasil, Argentina, Colombia y México). Se realiza un análisis del Valor en Riesgo a diferentes niveles de confianza para la conformación de portafolios de inversión óptimos del tipo Markowitz y Sharpe en los componentes del BOVESPA, S&P Merval, COLCAP y S&P BMV/ IPC. Los resultados muestran que para ambos tipos de portafolios las mayores pérdidas esperadas las tiene el mercado argentino y las menores el mexicano. Por lo que de las economías analizadas en esta investigación es más recomendable invertir en el mercado accionario de México. Como limitación se asume el supuesto de rendimientos gaussianos. El trabajo es original porque los datos históricos diarios consideran el periodo del COVID-19. Se concluye que, a pesar, que Brasil es el país con mayor número de contagios por COVID-19 de América Latina, con base en la métrica de Valor en Riesgo, Argentina es el más afectado financieramente y México el menor.

Suggested Citation

  • Héctor Alonso Olivares Aguayo, 2021. "Afectaciones financieras en los principales países de América Latina con mayores registros de COVID-19," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-18, Julio - S.
    • Handle: RePEc:imx:journl:v:16:y:2021:i:3:a:7
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    File URL: https://www.remef.org.mx/index.php/remef/article/view/650
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    References listed on IDEAS

    as
    1. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    2. Susana Luna-Ramírez & Diego A. Agudelo, 2017. "Agrega valor el modelo Black-Litterman en portafolios del Mercado Integrado Latinoamericano (MILA)?," Documentos de Trabajo de Valor Público 16960, Universidad EAFIT.
    3. J. Tobin, 1958. "Liquidity Preference as Behavior Towards Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 25(2), pages 65-86.
    4. Eugene F. Fama, 1965. "Portfolio Analysis in a Stable Paretian Market," Management Science, INFORMS, vol. 11(3), pages 404-419, January.
    5. Mauricio I. Gutiérrez Urzúa & Patricio Galvez Galvez & Benjamin Eltit & Hernaldo Reinoso, 2017. "Resolución del problema de carteras de inversión utilizando la heurística de colonia artificial de abejas," Estudios Gerenciales, Universidad Icesi, vol. 33(145), pages 391-399, November.
    6. Luis Berggrun Preciado & Virginia Camacho Roger, 2009. "Cómo Crear Un Portafolio De Inversión Con Las Opciones Que Ofrecen Los Fondos De Pensiones Voluntarias En Colombia: El Caso De Skandia," Estudios Gerenciales, Universidad Icesi, December.
    7. Ricardo Jacob Mendoza-Rivera & José Antonio Lozano-Díez & Francisco Venegas-Martínez, 2020. "Impacto de la pandemia Covid-19 en variables financieras relevantes en las principales economías de Latinoamérica," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 0(2), pages 125-144, Diciembre.
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    More about this item

    Keywords

    COVID-19; Teoría del Portafolio; rendimientos;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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