The Dynamic Relationship Between Gas and Crude Oil Markets and the Causal Impact of US Shale Gas

被引:5
作者
Ghosh, Sudeshna [1 ]
Tiwari, Aviral Kumar [2 ,3 ]
Dogan, Buhari [4 ]
Abakah, Emmanuel Joel Aikins [5 ]
机构
[1] Scottish Church Coll, Dept Econ, Kolkata, W Bengal, India
[2] Indian Inst Management Bodh Gaya, Bodh Gaya, India
[3] Univ Cambridge, Cambridge, England
[4] Suleyman Demirel Univ, Dept Econ, Isparta, Turkiye
[5] Univ Ghana, Business Sch, Accra, Ghana
关键词
Energy economics; Natural gas market; Crude oil market; Time-varying causality; Cross-quantile correlation; Big data; NATURAL-GAS; PRICE; DEPENDENCE; REVOLUTION; MONEY;
D O I
10.1007/s10614-023-10415-1
中图分类号
F [经济];
学科分类号
02 ;
摘要
Although the recent debate in energy economics on the importance of oil price indexation versus shale gases suggest that big data can be used in predictive analysis in energy economics, little is known particularly in the context of shale gas and oil price interlinkages. Grounding our investigations in such directions we investigate in this paper the relationship between gas and crude oil markets and the impact US shale gas by employing time-varying causality method by Shi et al. (J Time Ser Anal 39(6):966-987, 2018; J Financ Econom 18(1):158-180, 2020) and cross-quantilogram correlation approach by Han et al. (J Econom 193(1):251-270, 2016). In particular, as a representative of the crude oil market, we use OPEC oil; WTI; Crude oil Oman; Crude oil Dubai while for the gas market, we use natural gas prices of UK NBP (National Balancing Point), NYMEX HH (Henry Hub) and US shale gas prices. Data period is from 11th January 2013 to 8th September 2020. We find significant negative spillovers from crude oil markets to natural gas markets particularly during moderate market conditions. The results suggest crucial implications in energy economics literature, to diversify assets to hedge against risks. We further find strong causality association between oil markets, natural gas markets and further oil markets and shale gas markets. Our findings describe that aftermath of the shale-gas boom the predictability nexus between oil and natural gas increased. Once we condition for shale gas the significant negative spill overs from oil markets to natural gas markets increases in the long-run. We suggest important policy prescriptions which have interconnected market repercussions.
引用
收藏
页码:2501 / 2524
页数:24
相关论文
共 30 条
  • [21] CHANGE DETECTION AND THE CAUSAL IMPACT OF THE YIELD CURVE
    Shi, Shuping
    Phillips, Peter C. B.
    Hurn, Stan
    [J]. JOURNAL OF TIME SERIES ANALYSIS, 2018, 39 (06) : 966 - 987
  • [22] International gas pricing in Europe and Asia: A crisis of fundamentals
    Stern, Jonathan
    [J]. ENERGY POLICY, 2014, 64 : 43 - 48
  • [23] Money and output viewed through a rolling window
    Swanson, NR
    [J]. JOURNAL OF MONETARY ECONOMICS, 1998, 41 (03) : 455 - 473
  • [24] SUBSAMPLE INSTABILITY AND ASYMMETRIES IN MONEY-INCOME CAUSALITY
    THOMA, MA
    [J]. JOURNAL OF ECONOMETRICS, 1994, 64 (1-2) : 279 - 306
  • [25] A wavelet analysis of the relationship between oil and natural gas prices
    Tiwari, Aviral Kumar
    Mukherjee, Zinnia
    Gupta, Rangan
    Balcilar, Mehmet
    [J]. RESOURCES POLICY, 2019, 60 : 118 - 124
  • [26] Regime-Dependent Effect of Crude Oil Price on BRICS Stock Markets
    Yildirim, Durmus Cagri
    Erdogan, Seyfettin
    Cevik, Emrah Ismail
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2018, 54 (08) : 1706 - 1719
  • [27] ZAMANI N., 2016, INT J ENERGY EC POLI, V6, P217
  • [28] Oil indexation, market fundamentals, and natural gas prices: An investigation of the Asian premium in natural gas trade
    Zhang, Dayong
    Shi, Min
    Shi, Xunpeng
    [J]. ENERGY ECONOMICS, 2018, 69 : 33 - 41
  • [29] Further evidence on the debate of oil-gas price decoupling: A long memory approach
    Zhang, Dayong
    Ji, Qiang
    [J]. ENERGY POLICY, 2018, 113 : 68 - 75
  • [30] Modeling dynamic dependence between crude oil and natural gas return rates: A time-varying geometric copula approach
    Zhang, Kong-Sheng
    Zhao, Yan-Yong
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2021, 386