Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model
Zhiyuan Pan,
Yudong Wang,
Chongfeng Wu and
Libo Yin ()
Journal of Empirical Finance, 2017, vol. 43, issue C, 130-142
Abstract:
We introduce a regime switching GARCH-MIDAS model to investigate the relationships between oil price volatility and its macroeconomic fundamentals. Our model takes into account both effects of long-term macroeconomic factors and short-term structural breaks on oil volatility. The in-sample and out-of-sample results show that macroeconomic fundamentals can provide useful information regarding future oil volatility beyond the historical volatility. We also find the evidence that the structural breaks cause higher degree of GARCH-implied volatility persistence. Two-regime GARCH-MIDAS models can significantly beat their single-regime counterparts in forecasting oil volatility out-of-sample.
Keywords: Crude oil; Volatility; Regime switching; Mixed-frequency data sampling; Forecasting (search for similar items in EconPapers)
JEL-codes: C32 C58 E32 Q41 Q47 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (120)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927539817300592
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:empfin:v:43:y:2017:i:c:p:130-142
DOI: 10.1016/j.jempfin.2017.06.005
Access Statistics for this article
Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff
More articles in Journal of Empirical Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().