IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v69y2018icp79-88.html
   My bibliography  Save this item

What drives natural gas prices in the United States? – A directed acyclic graph approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wang, Rui & Qi, Zhongying & Shu, Yumin, 2020. "Multiple relationships between fixed-asset investment and industrial structure evolution in China–Based on Directed Acyclic Graph (DAG) analysis and VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 222-231.
  2. Shi, Xunpeng & Variam, Hari Malamakkavu Padinjare & Shen, Yifan, 2019. "Trans-ASEAN gas pipeline and ASEAN gas market integration: Insights from a scenario analysis," Energy Policy, Elsevier, vol. 132(C), pages 83-95.
  3. Xu, Weiju & Ma, Feng & Chen, Wang & Zhang, Bing, 2019. "Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States," Energy Economics, Elsevier, vol. 80(C), pages 310-320.
  4. Hailemariam, Abebe & Smyth, Russell, 2019. "What drives volatility in natural gas prices?," Energy Economics, Elsevier, vol. 80(C), pages 731-742.
  5. Bouri, Elie & Lei, Xiaojie & Xu, Yahua & Zhang, Hongwei, 2023. "Connectedness in implied higher-order moments of precious metals and energy markets," Energy, Elsevier, vol. 263(PB).
  6. 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.
  7. Shen, Yiran & Sun, Xiaolei & Ji, Qiang & Zhang, Dayong, 2023. "Climate events matter in the global natural gas market," Energy Economics, Elsevier, vol. 125(C).
  8. Moting Su & Zongyi Zhang & Ye Zhu & Donglan Zha & Wenying Wen, 2019. "Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods," Energies, MDPI, vol. 12(9), pages 1-17, May.
  9. Esmaeili, Parisa & Rafei, Meysam, 2021. "Dynamics analysis of factors affecting electricity consumption fluctuations based on economic conditions: Application of SVAR and TVP-VAR models," Energy, Elsevier, vol. 226(C).
  10. Abid, Ilyes & Guesmi, Khaled & Goutte, Stéphane & Urom, Christian & Chevallier, Julien, 2019. "Commodities risk premia and regional integration in gas-exporting countries," Energy Economics, Elsevier, vol. 80(C), pages 267-276.
  11. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
  12. Shi, Xunpeng & Shen, Yifan & Wu, Yanrui, 2019. "Energy market financialization: Empirical evidence and implications from East Asian LNG markets," Finance Research Letters, Elsevier, vol. 30(C), pages 414-419.
  13. Asadi, Mehrad & Roubaud, David & Tiwari, Aviral Kumar, 2022. "Volatility spillovers amid crude oil, natural gas, coal, stock, and currency markets in the US and China based on time and frequency domain connectedness," Energy Economics, Elsevier, vol. 109(C).
  14. Shi, Xunpeng & Shen, Yifan, 2021. "Macroeconomic uncertainty and natural gas prices: Revisiting the Asian Premium," Energy Economics, Elsevier, vol. 94(C).
  15. Yanting Chen & Peter R. Hartley & Yihui Lan, 2023. "Temperature, storage, and natural gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 549-575, April.
  16. Cuilin Li & Ya-Juan Du & Qiang Ji & Jiang-bo Geng, 2019. "Multiscale Market Integration and Nonlinear Granger Causality between Natural Gas Futures and Physical Markets," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
  17. Liu, Shuyu & Huang, Shupei & Chi, Yuxi & Feng, Sida & Li, Yang & Sun, Qingru, 2020. "Three-level network analysis of the North American natural gas price: A multiscale perspective," International Review of Financial Analysis, Elsevier, vol. 67(C).
  18. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
  19. Jian Wang* & Guangshuai Zhou, 2018. "Research on the Linkage Effect of Natural Gas Price," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 4(9), pages 90-94, 09-2018.
  20. Wang, Kui & Zhang, Yuanyuan & Sekelj, Gasper & Hopke, Philip K., 2019. "Economic analysis of a field monitored residential wood pellet boiler heating system in New York State," Renewable Energy, Elsevier, vol. 133(C), pages 500-511.
  21. Li, Xiuming & Sun, Mei & Gao, Cuixia & He, Huizi, 2019. "The spillover effects between natural gas and crude oil markets: The correlation network analysis based on multi-scale approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 306-324.
  22. Dragan Miljkovic & Cole Goetz, 2020. "Destabilizing role of futures markets on North American hard red spring wheat spot prices," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 887-897, November.
  23. 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.
  24. Lin, Yu & Lu, Qin & Tan, Bin & Yu, Yuanyuan, 2022. "Forecasting energy prices using a novel hybrid model with variational mode decomposition," Energy, Elsevier, vol. 246(C).
  25. Oleksandr Castello & Marina Resta, 2023. "A Machine-Learning-Based Approach for Natural Gas Futures Curve Modeling," Energies, MDPI, vol. 16(12), pages 1-22, June.
  26. Goetz, Cole & Miljkovic, Dragan & Barabanov, Nikita, 2021. "New empirical evidence in support of the theory of price volatility of storable commodities under rational expectations in spot and futures markets," Energy Economics, Elsevier, vol. 100(C).
  27. Octavian Jude & Avraham Turgeman & Claudiu Boțoc & Laura Raisa Miloș, 2023. "Volatility and Spillover Effects between Central–Eastern European Stock Markets and Energy Markets: An Emphasis on Crisis Periods," Energies, MDPI, vol. 16(17), pages 1-12, August.
  28. Song-Zan Chiou-Wei & Sheng-Hung Chen & Wei-Hung Chen, 2023. "Asymmetric Effects of Prices and Storage on Rig Counts: Evidence from the US Natural Gas and Crude Oil Markets," Energies, MDPI, vol. 16(15), pages 1-25, August.
  29. Dong, Kangyin & Sun, Renjin & Wu, Jin & Hochman, Gal, 2018. "The growth and development of natural gas supply chains: The case of China and the US," Energy Policy, Elsevier, vol. 123(C), pages 64-71.
  30. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2023. "Natural gas and the utility sector nexus in the U.S.: Quantile connectedness and portfolio implications," Energy Economics, Elsevier, vol. 120(C).
  31. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Uncertainty matters in US financial information spillovers: Evidence from a directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 229-242.
  32. Miljkovic, Dragan & Goetz, Cole, 2020. "The effects of futures markets on oil spot price volatility in regional US markets," Applied Energy, Elsevier, vol. 273(C).
  33. Qin Lu & Jingwen Liao & Kechi Chen & Yanhui Liang & Yu Lin, 2024. "Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 639-678, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.