Modeling the Price Stability and Predictability of Post Liberalized Gas Markets Using the Theory of Information

被引:1
作者
Hoayek, Anis [1 ]
Hamie, Hassan [2 ]
Auer, Hans [2 ]
机构
[1] Univ Montpellier, Inst Alexander Grothendieck, Fac Sci, F-34090 Montpellier, France
[2] Vienna Univ Technol, Fac Elect Engn & Informat Technol, Inst Energy Syst & Elect Drives Energy Econ Grp E, A-1040 Vienna, Austria
关键词
gas markets; game theory-Cournot model; records theory; entropy; information theory; COMPETITION; RECORD;
D O I
10.3390/en13113012
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy markets in the United States and Europe are getting more liberalized. The question of whether the liberalization of the gas industry in both markets has led to stable prices and less concentrated markets has appealed great interest among the scientific community. This study aims to measure the power and efficiency of an information structure contained in the gas prices time series. This assessment is useful to the oversight duty of regulators in such markets in the post liberalized era. First, econometric and mathematical methods based on game theory, records theory, and Shannon entropy are used to measure the following indicators: level of competition, price stability, and price uncertainty respectively-for both markets. Second, the level of information generated by these indicators is quantified using the information theory. The results of this innovative two-step approach show that the functioning of the European market requires the regulator's intervention. This intervention is done by applying additional rules to enhance the competitive aspect of the market. This is not that case for the U.S. market. Also, the value of the information contained in both markets' wholesale gas prices, although in asymmetric terms, is significant, and therefore proves to be an important instrument for the regulators.
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页数:20
相关论文
共 43 条
  • [1] [Anonymous], 2005, ELEMENTS INFORM THEO, DOI DOI 10.1002/047174882X
  • [2] [Anonymous], 2015, EVOLUTION EUROPEAN T
  • [3] [Anonymous], 2018, GAS REGULATION UK GE
  • [4] Arnold B.C., 1998, RECORDS, P7
  • [5] Bariviera A. F., 2016, ECON REV, V21, P41
  • [6] On the predictability of energy commodity markets by an entropy-based computational method
    Benedetto, F.
    Giunta, G.
    Mastroeni, L.
    [J]. ENERGY ECONOMICS, 2016, 54 : 302 - 312
  • [7] Blitzer C., 1986, W EUROPEAN NATURAL G
  • [8] Bohnenblust, 1949, BOHN REC GAM THEOR
  • [9] REVEALED PREFERENCE TESTS OF THE COURNOT MODEL
    Carvajal, Andres
    Deb, Rahul
    Fenske, James
    Quah, John K. -H.
    [J]. ECONOMETRICA, 2013, 81 (06) : 2351 - 2379
  • [10] Cornerstone Research, 2016, CHAR US NAT GAS T 20, P8