Publication:
Impacto del estallido de COVID19 en la volatilidad de los mercados de capital internacionales

Loading...
Thumbnail Image

Publication date

Reading date

Event date

Start date of the public exhibition period

End date of the public exhibition period

Authors

Sosa Castro, Magnolia Miriam
Ortiz, Edgar
Cabello Rosales, Alejandra

Advisors

Authors of photography

Person who provides the photography

Journal Title

Journal ISSN

Volume Title

Publisher

Universidad Pablo de Olavide
Export

Research Projects

Organizational Units

Journal Issue

Abstract

El objetivo de este trabajo es analizar el contagio de volatilidad entre los mercados de valores estadounidense y chino y los mercados de capitales internacionales. Para lograr este propósito, la volatilidad se modela utilizando varios enfoques simétricos y asimétricos: GARCH, TARCH, EGARCH, APARCH, IGARCH, FIGARCH, ACGARCH y GAS bajo tres supuestos de distribución: Gaussiana, GED y t-Student. Se emplean 21.000 observaciones intradía de trece índices bursátiles para el periodo comprendido entre el 1 de enero de 2020 y el 25 de junio de 2020. Una vez modelizada la volatilidad, se comprueba la incidencia de los mercados chino y americano sobre el resto de mercados bursátiles empleando modelos MS-VAR.
We analyze volatility contagion between the U.S. and Chinese stock markets and international capital markets. The volatility is modeled using: GARCH, TARCH, EGARCH, APARCH, IGARCH, FIGARCH, ACGARCH and GAS models under Gaussian, GED and t-Student distributions. 21,000 intraday observations of thirteen markets from January/1st to June/25th 2020 are employed. Once volatility is modeled, the incidence of Chinese and American markets on the rest of the bourses is tested employing Vector Autoregressive Markov Switching Models. Evidence confirms incidence of the Chinese and American capital markets volatility in other markets volatility; common breakpoints and Intermarket incidence in high volatility periods stand out.

Doctoral program

Related publication

Research projects

Description

Bibliographic reference

Revista de métodos cuantitativos para la economía y la empresa, ISSN-e 1886-516X, Vol. 35, 2023, págs. 175-200

Photography rights