Economics at your fingertips  

Dynamic spillover between commodities and commodity currencies during United States Q.E

Pick Schen Yip, Robert Brooks and Hung Xuan Do

Energy Economics, 2017, vol. 66, issue C, 399-410

Abstract: This paper comprehensively discusses the dynamic relationship between commodities and commodity currencies, particularly during the U.S. quantitative easing (QEs), by integrating the generalized spillover index into a fractionally integrated VAR (FIVAR) model. Our empirical analyses reach the following conclusions. First, the static return and volatility spillovers analyses show that the Food is the only net receiver among all the commodity price indices. Second, the dynamic total return and volatility spillover accelerated growth in term of the index by roughly between 15 and 25% for four regional groups during the initiation of the QE1 and subsequently remained across the first two rounds of the U.S. QE. Nevertheless, both the total return and volatility spillover declined in the midst of the QE3 as the U.S. Federal Reserve signaled the QE tapering due to the anticipated U.S. economic recovery. Third, the Energy and Metals components were the largest net transmitters of return and volatility spillovers during the U.S. QEs. A possible interpretation is that demand for energy and metals increase associated with an increase in economic activity that is triggered by the U.S. QEs. Last, almost all the sample commodity currencies acted as net receivers of return and volatility spillovers during the U.S. QEs, supporting the pass-through of commodities to commodity currencies.

Keywords: Quantitative easing; Commodity markets; Commodity currencies; Static and dynamic spillovers; FIVAR (search for similar items in EconPapers)
JEL-codes: C32 C5 E52 F31 (search for similar items in EconPapers)
Date: 2017
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

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:

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2018-05-29
Handle: RePEc:eee:eneeco:v:66:y:2017:i:c:p:399-410