id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajeer-3666	Delis, Panagiotis ; Degiannakis, Stavros ; Giannopoulos, Konstantinos 	Forecasting the Oil Volatility Index Using Factors of Uncertainty	2022	8	.pdf	application/pdf	4745	252	52	Conclusion ......................................................................................................................................................................................... 19 References .............................................................................................................................................................................................. 19 mailto:p.delis@panteion.gr mailto:s.degiannakis@panteion.gr mailto:kwstasgiannopoulos@yahoo.gr http://creativecommons.org/licenses/by/3.0/ http://creativecommons.org/licenses/by/3.0/ http://creativecommons.org/licenses/by/3.0/ https://www.doi.org/10.20448/ajeer.v9i1.3666 https://orcid.org/0000-0002-7238-4352 https://orcid.org/0000-0003-1931-5494 Asian Journal of Economics and Empirical Research, 2022, 9(1): 13-20 14 © 2022 by the authors; licensee Asian Online Journal Publishing Group Contribution of this paper to the literature This study contributes to the existing literature by investigating the predictive performance of models that incorporate several factors of uncertainty, including implied volatility indices and other indicators that capture uncertainty, on the oil implied volatility index (OVX). Moreover, Degiannakis, Filis, and Hassani (2018) applied parametric and non-parametric techniques in order to forecast implied volatility indices, such as the VIX.	cache/ajeer-3666.pdf	txt/ajeer-3666.txt