Oil Price Forecastability and Economic Uncertainty
Stelios Bekiros,
Rangan Gupta and
Alessia Paccagnini
No 298, Working Papers from University of Milano-Bicocca, Department of Economics
Abstract:
Information on economic policy uncertainty (EPU) does matter in predicting oil returns especially when accounting for omitted nonlinearities in the relationship between these two variables via a time-varying coe¢ cient approach. In this work, we compare the forecastability of standard, Bayesian and TVP-VAR models against the random-walk and benchmark AR models. Our results indicate that over the period 1900:1-2014:2 the time-varying VAR model with stochastic volatility outranks all alternative models.
Keywords: Oil prices; Economic policy uncertainty; Forecasting (search for similar items in EconPapers)
JEL-codes: C22 C32 C53 E60 Q41 (search for similar items in EconPapers)
Pages: 12
Date: 2015-04, Revised 2015-04
New Economics Papers: this item is included in nep-ene, nep-for and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (61)
Downloads: (external link)
http://repec.dems.unimib.it/repec/pdf/mibwpaper298.pdf First version, 2015 (application/pdf)
Related works:
Journal Article: Oil price forecastability and economic uncertainty (2015) 
Working Paper: Oil Price Forecastability and Economic Uncertainty (2015)
Working Paper: Oil price forecastability and economic uncertainty (2015) 
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:mib:wpaper:298
Access Statistics for this paper
More papers in Working Papers from University of Milano-Bicocca, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Matteo Pelagatti ().