IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v63y2024i6d10.1007_s10614-023-10415-1.html
   My bibliography  Save this article

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

Author

Listed:
  • Sudeshna Ghosh

    (Scottish Church College)

  • Aviral Kumar Tiwari

    (Indian Institute of Management Bodh Gaya
    University of Cambridge)

  • Buhari Doğan

    (Suleyman Demirel University)

  • Emmanuel Joel Aikins Abakah

    (University of Ghana Business School)

Abstract

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.

Suggested Citation

  • Sudeshna Ghosh & Aviral Kumar Tiwari & Buhari Doğan & Emmanuel Joel Aikins Abakah, 2024. "The Dynamic Relationship Between Gas and Crude Oil Markets and the Causal Impact of US Shale Gas," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2501-2524, June.
    • Handle: RePEc:kap:compec:v:63:y:2024:i:6:d:10.1007_s10614-023-10415-1
    DOI: 10.1007/s10614-023-10415-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-023-10415-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-023-10415-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    2. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    3. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    4. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    5. Tiwari, Aviral Kumar & Mukherjee, Zinnia & Gupta, Rangan & Balcilar, Mehmet, 2019. "A wavelet analysis of the relationship between oil and natural gas prices," Resources Policy, Elsevier, vol. 60(C), pages 118-124.
    6. Chaker Aloui & Besma Hkiri & Shawkat Hammoudeh & Muhammad Shahbaz, 2018. "A Multiple and Partial Wavelet Analysis of the Oil Price, Inflation, Exchange Rate, and Economic Growth Nexus in Saudi Arabia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(4), pages 935-956, March.
    7. David J. Ramberg and John E. Parsons, 2012. "The Weak Tie Between Natural Gas and Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    8. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1079-1134, November.
    9. Nguyen, Bao H. & Okimoto, Tatsuyoshi, 2019. "Asymmetric reactions of the US natural gas market and economic activity," Energy Economics, Elsevier, vol. 80(C), pages 86-99.
    10. Brigida, Matthew, 2014. "The switching relationship between natural gas and crude oil prices," Energy Economics, Elsevier, vol. 43(C), pages 48-55.
    11. Narjes Zamani, 2016. "How the Crude Oil Market Affects the Natural Gas Market? Demand and Supply Shocks," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 217-221.
    12. Shuping Shi & Peter C. B. Phillips & Stan Hurn, 2018. "Change Detection and the Causal Impact of the Yield Curve," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 966-987, November.
    13. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1079-1134, November.
    14. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    15. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective," Energy, Elsevier, vol. 101(C), pages 266-277.
    16. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    17. Swanson, Norman R., 1998. "Money and output viewed through a rolling window," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 455-474, May.
    18. Shuping Shi & Stan Hurn & Peter C B Phillips, 2020. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money–Income Relationship [Energy Consumption and Economic Growth in the United States]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 158-180.
    19. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The impact of the North American shale gas revolution on regional natural gas markets: Evidence from the regime-switching model," Energy Policy, Elsevier, vol. 96(C), pages 167-178.
    20. Stern, Jonathan, 2014. "International gas pricing in Europe and Asia: A crisis of fundamentals," Energy Policy, Elsevier, vol. 64(C), pages 43-48.
    21. Durmuş Çağrı Yıldırım & Seyfettin Erdoğan & Emrah İsmail Çevik, 2018. "Regime-Dependent Effect of Crude Oil Price on BRICS Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(8), pages 1706-1719, June.
    22. Thoma, Mark A., 1994. "Subsample instability and asymmetries in money-income causality," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 279-306.
    23. Zhang, Dayong & Ji, Qiang, 2018. "Further evidence on the debate of oil-gas price decoupling: A long memory approach," Energy Policy, Elsevier, vol. 113(C), pages 68-75.
    24. Zhang, Dayong & Shi, Min & Shi, Xunpeng, 2018. "Oil indexation, market fundamentals, and natural gas prices: An investigation of the Asian premium in natural gas trade," Energy Economics, Elsevier, vol. 69(C), pages 33-41.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohamad, Azhar & Fromentin, Vincent, 2023. "Herd and causality dynamics between energy commodities and ethical investment: Evidence from the different phases of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 126(C).
    2. Ren, Xiaohang & Li, Jingyao & He, Feng & Lucey, Brian, 2023. "Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    3. Maghyereh, Aktham & Abdoh, Hussein & Awartani, Basel, 2022. "Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    4. Wei, Zhaohao & Chai, Jian & Dong, Jichang & Lu, Quanying, 2022. "Understanding the linkage-dependence structure between oil and gas markets: A new perspective," Energy, Elsevier, vol. 257(C).
    5. Ji, Qiang & Geng, Jiang-Bo & Tiwari, Aviral Kumar, 2018. "Information spillovers and connectedness networks in the oil and gas markets," Energy Economics, Elsevier, vol. 75(C), pages 71-84.
    6. Zhang, Dayong & Shi, Min & Shi, Xunpeng, 2018. "Oil indexation, market fundamentals, and natural gas prices: An investigation of the Asian premium in natural gas trade," Energy Economics, Elsevier, vol. 69(C), pages 33-41.
    7. Hicham Ayad & Ousama Ben-Salha & Miloud Ouafi, 2023. "Do oil prices predict the exchange rate in Algeria? Time, frequency, and time‐varying Granger causality analysis," Economic Change and Restructuring, Springer, vol. 56(5), pages 3545-3566, October.
    8. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Dynamic frequency relationships and volatility spillovers in natural gas, crude oil, gas oil, gasoline, and heating oil markets: Implications for portfolio management," Resources Policy, Elsevier, vol. 73(C).
    9. Hong, Yun & Zhang, Rushan & Zhang, Feipeng, 2024. "Time-varying causality impact of economic policy uncertainty on stock market returns: Global evidence from developed and emerging countries," International Review of Financial Analysis, Elsevier, vol. 91(C).
    10. Hurn, Stan & Shi, Shuping & Wang, Ben, 2022. "Housing networks and driving forces," Journal of Banking & Finance, Elsevier, vol. 134(C).
    11. Fromentin, Vincent, 2022. "Time-varying causality between stock prices and macroeconomic fundamentals: Connection or disconnection?," Finance Research Letters, Elsevier, vol. 49(C).
    12. Fromentin, Vincent & Pecchioli, Bruno & Moroz, David, 2024. "Time-varying causality among whisky, wine, and equity markets," Finance Research Letters, Elsevier, vol. 63(C).
    13. Luo, Keyu & Ye, Yong, 2024. "How responsive are retail electricity prices to crude oil fluctuations in the US? Time-varying and asymmetric perspectives," Research in International Business and Finance, Elsevier, vol. 69(C).
    14. Madaleno, Mara & Dogan, Eyup & Taskin, Dilvin, 2022. "A step forward on sustainability: The nexus of environmental responsibility, green technology, clean energy and green finance," Energy Economics, Elsevier, vol. 109(C).
    15. Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
    16. Wang, TianTian & Zhang, Dayong & Clive Broadstock, David, 2019. "Financialization, fundamentals, and the time-varying determinants of US natural gas prices," Energy Economics, Elsevier, vol. 80(C), pages 707-719.
    17. Hong, Yanran & Wang, Lu & Ye, Xiaoqing & Zhang, Yaojie, 2022. "Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis," Renewable Energy, Elsevier, vol. 196(C), pages 535-546.
    18. Halser, Christoph & Paraschiv, Florentina & Russo, Marianna, 2023. "Oil–gas price relationships on three continents: Disruptions and equilibria," Journal of Commodity Markets, Elsevier, vol. 31(C).
    19. Tiwari, Aviral Kumar & Mukherjee, Zinnia & Gupta, Rangan & Balcilar, Mehmet, 2019. "A wavelet analysis of the relationship between oil and natural gas prices," Resources Policy, Elsevier, vol. 60(C), pages 118-124.
    20. Xunfa Lu & Zhitao Ye & Kin Keung Lai & Hairong Cui & Xiao Lin, 2022. "Time-Varying Causalities in Prices and Volatilities between the Cross-Listed Stocks in Chinese Mainland and Hong Kong Stock Markets," Mathematics, MDPI, vol. 10(4), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:63:y:2024:i:6:d:10.1007_s10614-023-10415-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.