EconPapers    
Economics at your fingertips  
 

Are Gold and Government Bond Safe‐Haven Assets? An Extremal Quantile Regression Analysis

Wei‐han Liu

International Review of Finance, 2020, vol. 20, issue 2, 451-483

Abstract: This study reexamines gold and government bonds as potential safe‐haven assets (SHAs) during market turmoil from daily data in 16 international markets over the past 20 years. We apply the extremal quantile regression model by Chernozhukov and Chernozhukov and Fernandez‐Val for empirical investigation. The outcomes indicate that a government bond is more likely to be qualified an active SHA, which can increase in value during market turmoil. Gold can be generally evaluated as a passive SHA, which is uncorrelated with market slumps. However, at the extremal 0.001 quantile level, neither asset can be qualified as a SHA. Since both assets exhibit a similar number of cases of being qualified as SHAs, we cannot significantly differentiate the “flight‐to‐liquidity” and “flight‐to‐quality” hypotheses. In terms of market selection, United States and Singapore are the top two choices while France and Hungary are the least commended markets to invest their local gold market as SHA.

Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://doi.org/10.1111/irfi.12232

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:irvfin:v:20:y:2020:i:2:p:451-483

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1369-412X

Access Statistics for this article

International Review of Finance is currently edited by Bruce D. Grundy, Naifu Chen, Ming Huang, Takao Kobayashi and Sheridan Titman

More articles in International Review of Finance from International Review of Finance Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:irvfin:v:20:y:2020:i:2:p:451-483