scholarly journals Variable Costs in Dynamic Cournot Energy Markets

Author(s):  
Anirudh Dasarathy ◽  
Ronnie Sircar
Keyword(s):  
2016 ◽  
Vol 9 (2) ◽  
pp. 51-68 ◽  
Author(s):  
Saša Žiković ◽  
Ivana Tomas Žiković

2015 ◽  
Vol 8 (1) ◽  
pp. 1-35 ◽  
Author(s):  
Fred Espen Benth ◽  
Nina Lange ◽  
Tor Åge Myklebust
Keyword(s):  

2020 ◽  
Author(s):  
Christina Sklibosios Nikitopoulos ◽  
Alice Thomas ◽  
Jian-Xin Wang

Author(s):  
David Mares

This chapter discusses the role of energy in economic development, the transformation of energy markets, trade in energy resources themselves, and the geopolitical dynamics that result. The transformation of energy markets and their expansion via trade can help or hinder development, depending on the processes behind them and how stakeholders interact. The availability of renewable, climate-friendly sources of energy, domestically and internationally, means that there is no inherent trade-off between economic growth and the use of fossil fuels. The existence of economic, political, social, and geopolitical adjustment costs means that the expansion of international energy markets to incorporate alternatives to oil and coal is a complex balance of environmental trade-offs with no solutions completely free of negative impact risk. An understanding of the supply of and demand for energy must incorporate the institutional context within which they occur, as well as the social and political dynamics of their setting.


2017 ◽  
Vol 6 (3) ◽  
pp. 43
Author(s):  
Nikolai Kolev ◽  
Jayme Pinto

The dependence structure between 756 prices for futures on crude oil and natural gas traded on NYMEX is analyzed  using  a combination of novel time-series and copula tools.  We model the log-returns on each commodity individually by Generalized Autoregressive Score models and account for dependence between them by fitting various copulas to corresponding  error terms. Our basic assumption is that the dependence structure may vary over time, but the ratio between the joint distribution of error terms and the product of marginal distributions (e.g., Sibuya's dependence function) remains the same, being time-invariant.  By performing conventional goodness-of-fit tests, we select the best copula, being member of the currently  introduced class of  Sibuya-type copulas.


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