Using internet search keyword data for predictability of precious metals prices: Evidence from non-parametric causality-in-quantiles approach

Miao Miao, Asadullah Khaskheli, Syed Raza and Sara Qamar Yousufi

Resources Policy, 2022, vol. 75, issue C

Abstract: This investigation examines how Google trends-based information can influence predictability of precious metals priceCorresponding author.s by utilizing Linear Granger causality & non-parametric causality in quantiles approach. Data ranges from January (2004) to March (2021). We have incorporated the four most popular metals (i.e., Gold, Platinum, Palladium, & Silver) & Crude oil. Although findings obtained from linear Granger causality showed no causal link between Google trends series & oil and precious metals prices, rather findings obtained from the non-parametric test show the existence of a non-linear association among constructs. Non-parametric test results show Google trends series can predict the prices of precious metals. Therefore, we conclude that investors, before making investment decisions, first seek information available online, i.e., on Google Trends, to gain some insights about future price movement that would be ideal for any investor. Moreover, investors, policymakers can get noteworthy awareness from this research for thinking out of the box while making investments.

Keywords: Google trends; Precious metals; Crude oil; Non-parametric causality-in-quantiles; Investors (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420721004864
Full text for ScienceDirect subscribers only

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:eee:jrpoli:v:75:y:2022:i:c:s0301420721004864

DOI: 10.1016/j.resourpol.2021.102478

Access Statistics for this article

Resources Policy is currently edited by R. G. Eggert

More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().