Spatial financial contagion during the COVID-19 outbreak: Local correlation approach.

Imen Zorgati, Riadh Garfatta
Author Information
  1. Imen Zorgati: Faculty of Economic Sciences and Management, University of Sousse, Tunisia.
  2. Riadh Garfatta: Faculty of Economic Sciences and Management, University of Sousse- Tunisia, LIFE, University of Tunis El Manar, Tunisia.

Abstract

The purpose of this paper is to examine the effect of spatial proximity on financial contagion during the COVID-19 outbreak. We use the daily stock index series of Asian, American, and European countries from January 1, 2014 to January 30, 2021. Two groups of countries are considered: the first includes China and geographically close countries, namely Taiwan, Hong Kong, Singapore, India, Australia, Indonesia, Malaysia, South Korea, Singapore, Vietnam and Russia. The second group includes countries that are geographically distant from China: the United States, Brazil, Mexico, Argentina, Italy, France and Germany. Using local correlation measurement and polynomial regressions, we show that the spatial contagion effect exists between China and geographically distant countries. However, this effect is absent for geographically close countries (Taiwan, Vietnam and Hong Kong). These findings have strong implications for investors and present guidance for regulators and policymakers in understanding the true impact of the COVID-19 on financial markets.

Keywords

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