The course of realized volatility in the LME non-ferrous metal market
Neda Todorova
Economic Modelling, 2015, vol. 51, issue C, 1-12
Abstract:
This study analyzes the volatility of LME futures contracts on aluminum, copper, lead, nickel and zinc using high-frequency data. The dynamics of realized volatility is studied over the period from January 2004 to September 2012 and is shown to be well captured with a rolling HAR-GARCH model. An increasing importance of short-term volatility components is evident across all metals in the aftermath of the global financial crisis and the related sharp decline in industrial metal prices. The heavier impact of short-term volatility corresponds consistently to a decreasing persistence of the volatility of realized volatility. In terms of predictive accuracy, even though leverage effects or GARCH-terms related to the volatility of realized volatility are characterized for the most part by significant in-sample parameters, the plain HAR model cannot be consistently outperformed by explicitly accounting for these stylized facts.
Keywords: Industrial metals; High-frequency data; HAR-GARCH model; Rolling estimation; Volatility forecasting (search for similar items in EconPapers)
JEL-codes: C13 C22 C53 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21) Track citations by RSS feed
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999315001881
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:ecmode:v:51:y:2015:i:c:p:1-12
DOI: 10.1016/j.econmod.2015.07.005
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 Catherine Liu ().