Abstract
In this paper, we use a bivariate Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity model within the world's dominant financial asset classes— represented by sovereign bonds, commodities, and major exchange rates—to characterize the correlation within the major asset classes among the Global Financial Crisis (GFC) and COVID-19’s 100 days. Our results specify a noteworthy degradation of co-relationship within the asset classes dominant in COVID-19 compared to the GFC, especially when the VIX was at its peak, indicating massive fear among investors. We also find that gold, U.S., UK, and German sovereign bonds are a safe option for investors.
| Original language | English |
|---|---|
| Article number | 101951 |
| Journal | Finance Research Letters |
| Volume | 43 |
| DOIs | |
| State | Published - Nov 2021 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Keywords
- COVID-19
- DCC-GARCH
- Exchange rates
- Global financial crisis
- Gold
- Safe haven
- Sovereign bonds
ASJC Scopus subject areas
- Finance
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