Oil–gold time varying nexus: A time–frequency analysis
Physica A: Statistical Mechanics and its Applications, 2018, vol. 503, issue C, 86-104
This paper analyzes the time varying nexus for oil–goldpairwise by employing the dynamic conditional correlation generalized multivariate autoregressive conditional heteroscedasticity DCC-MGARCH model of Engle (2002) as well as the time-scale approach based on multi-resolution analysis. For this goal, we focus on three subsamples, before, during and after the 2008–2009 global financial crisis. Key findings are as follows. (i) Wavelet analysis is a splendid complement to analyze the nexus between oil and gold markets. (ii) Low nexus for oil–gold pairwise after the recent global financial crisis. (iii) Gold and oil moved in reverse direction in the mid-run and long-run horizons during the crisis. (iv) Thanks to wavelets for helping financial managers and investors to manage their investment risks and making decision strategies.
Keywords: DCC-MGARCH; Wavelet analysis; Global financial crisis; Hedging; Oil; Gold (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:503:y:2018:i:c:p:86-104
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().