Forecasting methods in energy planning models

KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

Oil prices and stock markets: A review of the theory and empirical evidence

S Degiannakis, G Filis, V Arora - The Energy Journal, 2018 - journals.sagepub.com
Do oil prices and stock markets move in tandem or in opposite directions? The complex and
time varying relationship between oil prices and stock markets has caught the attention of …

The impact of extreme events on energy price risk

J Wen, XX Zhao, CP Chang - Energy Economics, 2021 - Elsevier
The nexus between extreme events and energy price risk is of great importance in energy
finance analysis due to the fact that those events generally exert strong impacts on energy …

Air pollution prediction by using an artificial neural network model

H Maleki, A Sorooshian, G Goudarzi, Z Baboli… - Clean technologies and …, 2019 - Springer
Air pollutants impact public health, socioeconomics, politics, agriculture, and the
environment. The objective of this study was to evaluate the ability of an artificial neural …

Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies

P Sadorsky - Energy economics, 2012 - Elsevier
In this paper, multivariate GARCH models are used to model conditional correlations and to
analyze the volatility spillovers between oil prices and the stock prices of clean energy …

Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?

Y Wei, J Liu, X Lai, Y Hu - Energy Economics, 2017 - Elsevier
This paper aims to identify the most informative determinant in forecasting crude oil market
volatility. We use a new GARCH-class model based on mixed data sampling regression and …

Investor sentiment and the price of oil

M Qadan, H Nama - energy economics, 2018 - Elsevier
The literature on oil prices considers real economic factors as the main drivers of changes in
oil prices. Using parametric and nonparametric methods, this study provides evidence that …

Forecasting oil price realized volatility using information channels from other asset classes

S Degiannakis, G Filis - Journal of International Money and Finance, 2017 - Elsevier
Motivated from Ross (1989) who maintains that asset volatilities are synonymous to the
information flow, we claim that cross-market volatility transmission effects are synonymous to …

Forecasting the volatility of crude oil futures using HAR-type models with structural breaks

F Wen, X Gong, S Cai - Energy Economics, 2016 - Elsevier
We introduce sixteen HAR-type volatility models with structural breaks and estimate their
parameters by applying 5-min high-frequency transaction data for WTI crude oil futures. We …

Oil price shocks and stock markets in the US and 13 European countries

J Park, RA Ratti - Energy economics, 2008 - Elsevier
Oil price shocks have a statistically significant impact on real stock returns
contemporaneously and/or within the following month in the US and 13 European countries …