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
Abstracting and Indexing: Scopus; EconLit; EconBiz; and Cabell’s Directory
This paper provides an alternative way to introduce the stylized facts on electricity futures.
The impact of end-user market integration and the smart grid on electricity retailers in the Nordic region
With the help of a mixed complementarity problem formulation that describes a simplified market setting with two competing retailers, this paper analyzes the impact of the pending market changes on electricity retailers’ price markup and profit.
Estimating marginal effects of key factors that influence wholesale electricity demand and price distributions in Texas via quantile variable selection methods
Using a large data set from the Electric Reliability Council of Texas, this study uses quantile regressions and attendant variable selection methods to choose the most important factors that influence demand and price distributions; subsequently, the…
A simulation-based model for optimal demand response load shifting: a case study for the Texas power market
This paper describes a case study of analyzing DR load-shifting strategies for a retail electric provider for the Texas (ERCOT) market using a Monte Carlo simulation with stochastic loads and settlement prices.
This study focuses on the analysis of long-run and short-run relationships between Brent crude oil spot and futures prices during the first Gulf War (1990–91) and the global financial crisis.
This paper analyzes the relationship between debt and the production decisions of companies active in the exploration and production of oil and gas in the United States.
This paper presents an empirical analysis of how power shocks resulting from intermittent renewables affect the forecast error of the forward premium in German electricity markets.
A new approach to evaluating the cost-efficiency of complex hedging strategies: an application to electricity price–volume quanto contracts
In this paper, the authors propose a new hedging assessment model, the economic value of the incremental expected shortfall (EVIES), from a cost-efficiency perspective.
Managing supply chain risk through take-or-pay gas contracts in the presence of buyers’ storage facilities
In this paper, the authors study the enhanced value of a take-or-pay gas contract from a buyer’s perspective in the presence of spot market trading and local storage capability.
This paper is the prologue for our special issue on Blockchain-enabled Energy Markets.
In this paper, the simulated environment of a hierarchical energy trading market using Ethereum’s smartcontract technology is created as a proof-of-concept of using blockchain technology in energy trading.
Community energy retail tariffs in Singapore: opportunities for peer-to-peer and time-of-use versus vertically integrated tariffs
In this paper, an electricity market is simulated using an iterative double-auction algorithm that resolves a social welfare optimization problem based on the Kelly auction mechanism. It is adapted to the case of Singapore.
The latest online early paper in our special issue on blockchain enabled energy markets
This paper interprets the principles of good governance and corporate governance in the context of distributed ledger technologies, namely blockchain, analyzing specif- ically how these principles apply to a blockchain-enabled energy market.
This paper explores determinants of day-ahead market prices for ancillary services and energy in the Electric Reliability Council of Texas (ERCOT).
This paper models natural gas returns explicitly, allowing for market participants to learn over time and to react differently to present changes in economic variables. This learning and adaptation, and the attendant parameter uncertainty, constitutes…
Pricing fast-responding electric storage assets in the presence of negative prices and price spikes: a simulation-and-regression approach
This study focuses on the use of batteries for real-time power trading and proposes a simulation-and-regression-based valuation model.
This paper introduces a new approach for incorporating uncertainty in the decision to invest in a commodity reserve.
This paper examines how electricity options traded in the Nasdaq OMX Commodities Europe financial market are priced compared with their corresponding futures contracts.
This paper offers a new way to price and hedge energy swing contacts, decomposing swing contracts into tradeable products, adding time-spread optionality to Keppo’s approach.