Energy markets are one of the fastest growing and most complex sectors. From the basic role that oil has in the global economy, to the essential services that gas and electricity provide, energy is an area of geopolitical concern as well as financial activities. The Journal of Energy Markets serves as a major research outlet for new empirical and model-based work in this sector, and publishes original papers on the evolution and behaviour of electricity, gas, oil, carbon and other energy markets, both wholesale and retail.
The Journal of Energy Markets considers submissions in the form of research papers on the following, but not limited to, topics:
- Econometric analyses of prices, volatilities and across particular energy markets
- Model-based simulation of price and investment behaviour
- Theoretical and applied analyses of energy derivatives
- High frequency nonlinear models of price formation
- Longer-term geo-political analyses of energy market globalization
- Forward curve and risk premia
- Strategic behaviour by companies
- Financial aspects of new investment
- Relationship of energy and carbon markets to climate change policies
- Renewable energy financing and policy analysis
The Journal of Energy Markets has been selected for coverage in the Clarivate Analytics Emerging Sources Citation Index.
This paper studies the characteristics of the conditional mean and volatility of daily price movements of the system price for the Nordic/Baltic one-day-ahead spot electric power market.
In this study, the authors investigate drivers of merger activity in the oil and gas sector and seek to ascertain how key determinants influence the takeover likelihood of oil and gas companies.
This paper examines how West Texas Intermediate (WTI) crude oil price returns and volatilities respond to changes in US monetary policy.
This paper presents the modeling benefits of using Lévy processes and the fast Fourier transform (FFT) in the valuation of gas storage assets and, from a practitioner’s perspective, in creating market-consistent valuations and hedging portfolios.
This paper studies the problem of a financial agent wishing to maximize a constant relative risk-aversion expected utility of their terminal wealth while operating in an ID market.
This paper focuses upon the oil and gas industry, examining the association between exploration activity risk and company shareholder returns.
The goal of this paper is to explain and improve the offshore oil storage trade observed in a contango market using a forward dynamic optimization strategy. The strategy is developed using trades in forward contracts and contrasted with the literature.
This paper introduces a three-factor model that jointly describes both natural gas forward prices and temperature forecast dynamics.
This paper develops a novel methodology for estimating the systematic risk of individual financial transmission rights and detecting the presence of abnormal returns among these financial instruments.
This paper proposes a stochastic model for the maximal production of PV power on a daily basis, based on data from three transmission system operators in Germany.
This paper proposes and investigates a valuation model for the income of selling tradeable green certificates in the Swedish–Norwegian market, formulated as a singular stochastic control problem.
This paper provides an analysis of a broad spectrum of fundamental and nonfundamental indicators for crude oil prices.
In this paper, the authors investigate the barriers to including DH as a flexible resource for the electricity market in Denmark, Norway and Sweden.
This paper models the evolution of the oil price as a mean-reverting regime-switching jump–diffusion process.
The authors formulate a general structural model for an energy market in order to analyze the dynamic hedging of contingent claims on spot electricity prices.
The authors of this paper study the calibration of futures contracts on temperature indexes.
This paper analyzes the case of commodity-dependent industries by testing in the case of the oil industry and analyzing whether oil exposure relates to the cross-section of returns.
In this paper, the authors investigate the new mean-reverting RW and its continuous-time limit, introduced by Moosavi and Davison (2016).
The authors of this paper model medium- and long-term Alberta power prices by identifying the primary price drivers and characterizing their dynamics in an engineering-based bottom-up model.
On the role of structural breaks in identifying the dynamic conditional linkages between stock and commodity markets
In this paper, the authors explore the time-varying linkages between two strategic commodities covering the energy sector (crude oil and natural gas) and the QE Al Rayan Islamic Index over the period March 15, 2011–December 25, 2014.