Economics at your fingertips  

Volatility forecasting: Global economic policy uncertainty and regime switching

Miao Yu and Jinguo Song

Physica A: Statistical Mechanics and its Applications, 2018, vol. 511, issue C, 316-323

Abstract: In this study, I explore the impacts of global economic policy uncertainty on futures aggregate monthly volatility and introduce the regime switching in forecasting models, and analyze the predictive ability. In-sample empirical results show that the GEPU index has a significant impact on one-ahead-step volatility of US stock market. Additionally, the GEPU performs much bigger role on future RV in high volatility regime period than during low volatility regime. The out-of-sample results indicate that the GEPU index can indeed increase the forecasts accuracy, especially introducing the regime switching to the forecasting model. Importantly, the robust test is consistent with the conclusions.

Keywords: Forecasting; GEPU; S&P500 index; Regime switching; MCS test (search for similar items in EconPapers)
Date: 2018
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. 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:

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 Dana Niculescu ().

Page updated 2018-11-10
Handle: RePEc:eee:phsmap:v:511:y:2018:i:c:p:316-323