The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach
Afees Salisu,
Rangan Gupta,
Elie Bouri (elie.elbouri@lau.edu.lb) and
Qiang Ji
No 202043, Working Papers from University of Pretoria, Department of Economics
Abstract:
In this study, we examine the role of global economic conditions in forecasting gold market volatility using alternative measures. Based on the available data frequency for the relevant series, we adopt the GARCH-MIDAS approach which allows for mixed data frequencies. We find that global economic conditions contribute significantly to gold market volatility albeit with mixed outcomes. While the results lend support to the safe-haven properties of the gold market, the outcome is influenced by the choice of measure of global economic conditions. For completeness, we extend the analyses to other precious metals such as silver, platinum, palladium, and rhodium and find that global economic conditions forecast the volatility of gold returns better than other precious metals. Our results are robust to multiple forecast horizons and offer useful insights into plausible investment choices in the precious metals market.
Keywords: Precious Metals Volatility; Global Economic Conditions; Mixed-Frequency (search for similar items in EconPapers)
JEL-codes: C32 C53 E32 Q02 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2020-05
New Economics Papers: this item is included in nep-for, nep-int, nep-mac, nep-rmg and nep-sea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach (2020) 
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:pre:wpaper:202043
Access Statistics for this paper
More papers in Working Papers from University of Pretoria, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Rangan Gupta (rangan.gupta@up.ac.za).