On oil-US exchange rate volatility relationships: An intraday analysis
Fredj Jawadi (),
Hachmi Ben Ameur and
Abdoulkarim Idi Cheffou
Economic Modelling, 2016, vol. 59, issue C, 329-334
The aim of this paper is to investigate the dynamics of oil price volatility by examining interactions between the oil market and the US dollar/euro exchange rate. Unlike previous related studies that focus on low frequency data and GARCH volatility measures, we use recent intraday data to measure realised volatility and to investigate the instantaneous intraday linkages between different types and proxies of oil price and US$/euro volatilities. We specify the drivers of oil price volatility through a focus on extreme US$ exchange rate movements (intraday jumps). Accordingly, we find a negative relationship between the US dollar/euro and oil returns, indicating that a US$ appreciation decreases oil price. Second, we note the presence of a volatility spillover from the US exchange market to the oil market. Interestingly, this spillover effect seems to occur through intraday jumps that take place simultaneously in both markets.
Keywords: Oil price volatility; Realised volatility; Intraday jumps; Exchange rate; Intraday data; GARCH model (search for similar items in EconPapers)
JEL-codes: G15 C2 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: On Oil-US Exchange Rate Volatility Relationships: an Intradaily Analysis (2017)
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:ecmode:v:59:y:2016:i:c:p:329-334
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().