Can the Shanghai LNG Price Index indicate Chinese market? An econometric investigation using price discovery theory

被引:0
|
作者
Zeng, Yeli [1 ]
Dong, Cong [2 ]
Höök, Mikael [3 ]
Sun, Jinhua [4 ]
Shi, Danyang [1 ]
机构
[1] School of Economics and Management, China University of Petroleum, Beijing,102249, China
[2] School of International Trade and Economics, University of International Business and Economics, Beijing,100029, China
[3] Department of Earth Sciences, Uppsala University, Uppsala,75105, Sweden
[4] Crude Oil Department, Petro China International Co., Ltd., Beijing,100033, China
来源
Frontiers in Energy | 2020年 / 14卷 / 04期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
China became the world’s second largest liquefied natural gas (LNG) importer in 2018 but has faced extremely high import costs due to a lack of bargaining power. Assessments of the Shanghai LNG Price Index, first released in 2015, are vital for improving the understanding of these cost dynamics. This paper, using the LNG price index data from the Shanghai Petroleum and Gas Exchange (SHPGX) coupled with domestic and international LNG prices from July 1, 2015 to December 31, 2018, estimates several econometric models to evaluate the long-term and short-term equilibriums of the Shanghai LNG Price Index, the responses to market information shocks and the leading or lagging relationships with LNG and alternative energy prices from other agencies. The results show that the LNG price index of the SHPGX has already exhibited a long-term equilibrium and short-term adjustment mechanisms to reflect the average price level and market movements, but the market information transparency and price discovery efficiency of the index are still inadequate. China’s LNG market is still relatively independent of other natural gas markets, and marketization reforms are under way in China. The influence of the SHPGX LNG price index on the trading decisions of market participants is expected to improve with further development of China’s LNG reforms, the formation of a natural gas entry-exit system, and the increasing liquidity of the hub. © 2020, Higher Education Press.
引用
收藏
页码:726 / 739
相关论文
共 50 条
  • [41] Using news to predict Chinese medicinal material price index movements
    Yu, Miao
    Guo, Chonghui
    [J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2018, 118 (05) : 998 - 1017
  • [42] Measuring price discovery in the European wheat market using the partial cointegration approach
    Vollmer, Teresa
    Herwartz, Helmut
    von Cramon-Taubadel, Stephan
    [J]. EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS, 2020, 47 (03) : 1173 - 1200
  • [43] Price Discovery from the Chinese A-Share Market: Trend Break Tests Using the Perron Mixed Model C
    Zou, Gaolu
    Xing, Yan
    Chau, K. W.
    [J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ECONOMY, MANAGEMENT AND EDUCATION TECHNOLOGY, 2016, 62 : 1743 - 1748
  • [44] "The price is right": using auction theory to enhance competition in the NPL market
    Gaffeo, Edoardo
    Mazzocchi, Ronny
    [J]. JOURNAL OF BANKING REGULATION, 2019, 20 (01) : 104 - 112
  • [45] “The price is right”: using auction theory to enhance competition in the NPL market
    Edoardo Gaffeo
    Ronny Mazzocchi
    [J]. Journal of Banking Regulation, 2019, 20 : 104 - 112
  • [46] Price guidance and discovery of the Chinese stock index Futures: Based on the rising, falling and fluctuating states
    Su, Min
    [J]. HELIYON, 2023, 9 (03)
  • [47] Trades or quotes: Which drives price discovery? Evidence from Chinese index futures markets
    Jin, Liwei
    Yuan, Xianghui
    Wang, Shihao
    Li, Peiran
    Lian, Feng
    [J]. JOURNAL OF FUTURES MARKETS, 2022, 42 (12) : 2235 - 2247
  • [48] Estimating the volatility of stock price index for Indian market using GARCH model
    Maheshwari, Rahul
    Kapoor, Vivek
    [J]. JOURNAL OF STATISTICS AND MANAGEMENT SYSTEMS, 2022, 25 (07) : 1523 - 1530
  • [49] Which Can Better Describe Chinese Stock Market between Shanghai Composite Index and Constituent Stock Index
    Huang Feixue
    Wang Zhihua
    [J]. PROCEEDINGS OF THE 3RD (2011) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT, VOLS 1 AND 2, 2011, : 822 - 826
  • [50] Predicting Stock Price Returns using Microblog Sentiment for Chinese Stock Market
    Sun, Tong
    Wang, Jia
    Zhang, Pengfei
    Cao, Yu
    Liu, Benyuan
    Wang, Degang
    [J]. 2017 3RD INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS (BIGCOM), 2017, : 87 - 96