Ji, Qiang and Zhang, Dayong and Zhao, Yuqian (2020) Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71. p. 101526. DOI https://doi.org/10.1016/j.irfa.2020.101526
Ji, Qiang and Zhang, Dayong and Zhao, Yuqian (2020) Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71. p. 101526. DOI https://doi.org/10.1016/j.irfa.2020.101526
Ji, Qiang and Zhang, Dayong and Zhao, Yuqian (2020) Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71. p. 101526. DOI https://doi.org/10.1016/j.irfa.2020.101526
Abstract
The ongoing COVID-19 pandemic has shaken the global financial system and caused great turmoil. Facing unprecedented risks in the markets, people have increasing needs to find a safe haven for their investments. Given that the nature of this crisis is a combination of multiple problems, it is substantially different from all other financial crises known to us. It is therefore urgent to re-evaluate the safe-haven role of some traditional asset types, namely, gold, cryptocurrency, foreign exchange and commodities. This paper introduces a sequential monitoring procedure to detect changes in the left-quantiles of asset returns, and to assess whether a tail change in the equity index can be offset by introducing a safe-haven asset into a simple mean-variance portfolio. The sample studied covers a training period between August-December 2019 and a testing period of December 2019-March 2020. Furthermore, we calculate the cross-quantilogram between pair-wise asset returns and compare their directional predictability on left-quantiles in both normal market conditions and the COVID-19 period. The main results show that the role of safe haven becomes less effective for most of the assets considered in this paper, while gold and soybean commodity futures remain robust as safe-haven assets during this pandemic.
Item Type: | Article |
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Uncontrolled Keywords: | COVID-19, Cross-quantilogram, Safe-haven assets, Sequential detection, Tail change |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Essex Business School |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 May 2020 11:44 |
Last Modified: | 16 May 2024 22:20 |
URI: | http://repository.essex.ac.uk/id/eprint/27563 |
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