Forecasting oil and stock returns with a Qual VAR using over 150 years off data

R Gupta, M Wohar - Energy Economics, 2017 - Elsevier
The extant literature suggests that oil price, stock price and economic activity are all
endogenous and the linkages between these variables are nonlinear. Against this backdrop …

Artificial intelligence approach for modeling and forecasting oil-price volatility

SM Al-Fattah - SPE Reservoir Evaluation & Engineering, 2019 - onepetro.org
Oil market volatility affects macroeconomic conditions and can unduly affect the economies
of oil-producing countries. Large price swings can be detrimental to producers and …

Persistence and cycles in historical oil price data

LA Gil-Alana, R Gupta - Energy Economics, 2014 - Elsevier
This paper deals with the analysis of two observed features in historical oil price data; in
particular, persistence and cyclicity. Using monthly data from September 1859 to October …

Towards optimal 1.5° and 2° C emission pathways for individual countries: A Finland case study

F Sferra, M Krapp, N Roming, M Schaeffer, A Malik… - Energy Policy, 2019 - Elsevier
Abstract Nationally Determined Contributions (NDCs) submitted so far under the Paris
Agreement are not in line with its long-term temperature goal. To bridge this gap, countries …

Oil Price estimating Under Dynamic Economic Models Using Markov Chain Monte Carlo Simulation Approach

K Fathi Vajargah, H Eslami Mofid Abadi… - Advances in …, 2021 - amfa.arak.iau.ir
This study, attempts to estimate and compare four different models of jump-diffusion class
combined with stochastic volatility that are based on stochastic differential equations, and …

Fuel efficiency improvements: feedback mechanisms and distributional effects in the oil market

FR Aune, AC Bøeng, S Kverndokk, L Lindholt… - Environmental and …, 2017 - Springer
We study the interactions between fuel efficiency improvements in the transport sector and
the oil market, where the efficiency improvements are policy-induced in certain regions of …

Information Model for Pricing on Electronic Markets

VS Sazheniuk, GO Chornous, IA Iarmolenko - Cybernetics and Systems …, 2020 - Springer
The research is focused on the development of an approach to modeling and forecasting
market good prices based on information changes. The process is described by the first …

Price dynamics in the oil market: a bond-graph modeling approach

C Hutters, NG Orie, MB Mendel - IFAC-PapersOnLine, 2023 - Elsevier
Current oil modeling techniques lack a comprehensive approach, as long-term oil prices are
qualitatively modeled based on first principles, while short-term price transients are modeled …

Modeling persistence and parameter instability in historical crude oil price data using a Gibbs sampling approach

N Nonejad - Computational Economics, 2019 - Springer
This study aims to analyze two important features of crude oil price data, namely,
persistence and parameter instability. We apply an autoregressive fractionally integrated …

[PDF][PDF] The Impact of Structural Oil Market Shocks on Stock Markets

F BETTIOL - 2020 - research-api.cbs.dk
On April 20, 2020, for the first time in history, the US oil prices plummeted below zero. That
means oil producers were willing to pay buyers to take the commodity off their hands over …