Can economic policy uncertainty help to forecast the volatility: A multifractal perspective
Zhicao Liu,
Yong Ye,
Feng Ma and
Jing Liu
Physica A: Statistical Mechanics and its Applications, 2017, vol. 482, issue C, 181-188
Abstract:
In this study, we investigate whether economic policy uncertainty (EPU) can impact on future volatility based on the multifractal insight. Our estimation results show that the impact of EPU on future volatility is significantly positive, which indicate that EPU can aggravate the future market risk. Moreover, Out-of-sample results tell us that adding EPU as explanatory variable to volatility models can indeed improve the forecasting performance. Furthermore, we also find evidence that the multifractal volatility models can beat the GARCH-class models in forecasting.
Keywords: Volatility forecasting; Multifractal volatility; Economic policy uncertainty; Forecasting evaluation (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (46)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437117303862
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
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:phsmap:v:482:y:2017:i:c:p:181-188
DOI: 10.1016/j.physa.2017.04.076
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 Catherine Liu ().