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Google search keywords that best predict energy price volatility

Citations

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Cited by:

  1. Saakshi & Sohini Sahu & Siddhartha Chattopadhyay, 2020. "Epidemiology of inflation expectations and internet search: an analysis for India," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 649-671, July.
  2. Ullah, Assad & Riaz, Adeel, 2025. "The impact of energy-related uncertainty on China’s overall and sectoral stock returns: Evidence from quantile-on-quantile regression," Energy, Elsevier, vol. 320(C).
  3. Haukvik, Nicole & Cheraghali, Hamid & Molnár, Peter, 2024. "The role of investors’ fear in crude oil volatility forecasting," Research in International Business and Finance, Elsevier, vol. 70(PB).
  4. Lin, Boqiang & Chen, Yiyang & Gong, Xu, 2024. "Stress from attention: The relationship between climate change attention and crude oil markets," Journal of Commodity Markets, Elsevier, vol. 34(C).
  5. Di, Li & Shaiban, Mohammed Sharaf & Hasanov, Akram Shavkatovich, 2021. "The power of investor sentiment in explaining bank stock performance: Listed conventional vs. Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
  6. Xu, Jiayi & Zhang, Xiao-Bing & Liu, Yang, 2024. "Asymmetric search behavior for gasoline prices: Evidence from the Chinese gasoline market," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 699-712.
  7. D Aromi & A Clements, 2018. "Media attention and crude oil volatility: Is there any 'new' news in the newspaper?," NCER Working Paper Series 118, National Centre for Econometric Research.
  8. Li, Jingjing & Tang, Ling & Wang, Shouyang, 2020. "Forecasting crude oil price with multilingual search engine data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
  9. Li Jingjing & Tang Ling & Li Ling, 2020. "The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain," Journal of Systems Science and Information, De Gruyter, vol. 8(3), pages 224-239, June.
  10. Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
  11. Bouteska, Ahmed & Ha, Le Thanh & Bhuiyan, Faruk & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Contagion between investor sentiment and green bonds in China during the global uncertainties," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 469-484.
  12. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2025. "Quantile connectedness among climate policy uncertainty, news sentiment, oil and renewables in China," Research in International Business and Finance, Elsevier, vol. 76(C).
  13. Zhong, Yufei & Chen, Xuesheng & Wang, Zhixian & Lin, Regina Fang-Ying, 2024. "The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis," Energy Economics, Elsevier, vol. 132(C).
  14. Afees A. Salisu & Abeeb O. Olaniran, 2026. "Energy market uncertainty and economic conditions at the global and U.S. State levels," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 50(1), pages 1-51, December.
  15. Jiawen Luo & Tony Klein & Thomas Walther & Qiang Ji, 2024. "Forecasting realized volatility of crude oil futures prices based on machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1422-1446, August.
  16. Xiaoming Zhang & Rongkun Zhang & Chien‐Chiang Lee, 2025. "Climate Risks in Main Producing Areas and Realized Volatility in Agricultural Futures: Machine Learning Methods Based on High‐Frequency Data," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(11), pages 2034-2065, November.
  17. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
  18. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
  19. Aromi, Daniel & Clements, Adam, 2019. "Spillovers between the oil sector and the S&P500: The impact of information flow about crude oil," Energy Economics, Elsevier, vol. 81(C), pages 187-196.
  20. Zhang, Yue-Jun & Li, Zhao-Chen, 2021. "Forecasting the stock returns of Chinese oil companies: Can investor attention help?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 531-555.
  21. Qin, Meng & Shao, Xuefeng & Hu, Chengming & Su, Chi Wei, 2025. "Can gold hedge against uncertainty in the cryptocurrency and energy markets?," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
  22. Yılmaz, Emrah Sıtkı & Ozpolat, Aslı & Destek, Mehmet Akif, 2022. "Do Twitter Sentiments Really Effective on Energy Stocks? Evidence from Intercompany Dependency," MPRA Paper 114155, University Library of Munich, Germany.
  23. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia & Brzeszczyński, Janusz, 2025. "Energy in turmoil: Industry resilience to uncertainty during the global energy crisis," Applied Energy, Elsevier, vol. 389(C).
  24. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
  25. Liu, Wenwen & Zhao, Peng & Luo, Ziyang & Tang, Miaomiao, 2024. "The dynamic impact of network attention on natural resources prices in pre-and post-Russian-Ukrainian war," Resources Policy, Elsevier, vol. 97(C).
  26. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
  27. Wei, He & Guo, Yaoqi & Yu, Zhuling & Cheng, Hui, 2021. "The impact of events on metal futures based on the perspective of Google Trends," Resources Policy, Elsevier, vol. 74(C).
  28. Dang, Tam Hoang-Nhat & Nguyen, Canh Phuc & Lee, Gabriel S. & Nguyen, Binh Quang & Le, Thuy Thu, 2023. "Measuring the energy-related uncertainty index," Energy Economics, Elsevier, vol. 124(C).
  29. Doan, Thang Ngoc & Nguyen, Trung Thanh, 2025. "Energy uncertainty and energy trade: International evidence," Energy, Elsevier, vol. 319(C).
  30. Guo, Jingjun & Zhao, Zhengling & Sun, Jingyun & Sun, Shaolong, 2022. "Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework," Resources Policy, Elsevier, vol. 77(C).
  31. Oguzhan Cepni & Duc Khuong Nguyen & Ahmet Sensoy, 2022. "News Media and Attention Spillover across Energy Markets: A Powerful Predictor of Crude Oil Futures Prices," The Energy Journal, , vol. 43(1_suppl), pages 1-30, June.
  32. El Ouadghiri, Imane & Guesmi, Khaled & Peillex, Jonathan & Ziegler, Andreas, 2021. "Public Attention to Environmental Issues and Stock Market Returns," Ecological Economics, Elsevier, vol. 180(C).
  33. Dou, Junyi & Li, Kun & Qin, Meng & Albu, Lucian Liviu, 2025. "Towards energy security: Could renewable energy endure uncertainties in the energy market?," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 461-474.
  34. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
  35. Xie, Gang & Jiang, Fuxin & Zhang, Chengyuan, 2023. "A secondary decomposition-ensemble methodology for forecasting natural gas prices using multisource data," Resources Policy, Elsevier, vol. 85(PA).
  36. Su, Chi-Wei & Wu, Ying & Qin, Meng, 2025. "Preserving energy security: Can renewable energy withstand the energy-related uncertainty risk?," Energy, Elsevier, vol. 320(C).
  37. Yue‐Jun Zhang & Yuan‐Yuan Zhang & Han Zhang & Zhuo Tang, 2026. "Forecasting Crude Oil Price Volatility With Analyst Commentary Sentiment: A Nonlinear Analysis Using Deep‐Learning Models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(1), pages 121-137, January.
  38. Andreea Avramescu & Arkadiusz Wiśniowski, 2021. "Now-casting Romanian migration into the United Kingdom by using Google Search engine data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(40), pages 1219-1254.
  39. Nguyen, Bich Ngoc, 2025. "A sentiment-based approach to predict energy price volatility using distilRoBERTa and GARCH models," Energy Economics, Elsevier, vol. 149(C).
  40. Prange, Philipp, 2021. "Does online investor attention drive the co-movement of stock-, commodity-, and energy markets? Insights from Google searches," Energy Economics, Elsevier, vol. 99(C).
  41. Maria Lycheva & Alexey Mironenkov & Alexey Kurbatskii & Dean Fantazzini, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
  42. Chen, Qitong & Zhu, Huiming & Yu, Dongwei & Hau, Liya, 2022. "How does investor attention matter for crude oil prices and returns? Evidence from time-frequency quantile causality analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
  43. Yong Jiang & Yi-Shuai Ren & Chao-Qun Ma & Jiang-Long Liu & Basil Sharp, 2018. "Does the price of strategic commodities respond to U.S. Partisan Conflict?," Papers 1810.08396, arXiv.org, revised Feb 2020.
  44. Ahmed, Walid M.A., 2024. "Attention to climate change and eco-friendly financial-asset prices: A quantile ARDL approach," Energy Economics, Elsevier, vol. 136(C).
  45. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Attention to oil prices and its impact on the oil, gold and stock markets and their covariance," Energy Economics, Elsevier, vol. 120(C).
  46. Zhang, Li & Liang, Chao & Huynh, Luu Duc Toan & Wang, Lu & Damette, Olivier, 2024. "Measuring the impact of climate risk on renewable energy stock volatility: A case study of G20 economies," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 168-184.
  47. Prakash Ranjan, Ravi & Bhattachharyya, Malay, 2018. "Does investor attention to energy stocks exhibit power law?," Energy Economics, Elsevier, vol. 75(C), pages 573-582.
  48. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
  49. Plante, Michael, 2019. "OPEC in the news," Energy Economics, Elsevier, vol. 80(C), pages 163-172.
  50. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia & Brzeszczyński, Janusz, 2025. "What does energy price uncertainty reveal about the global energy crisis?," International Review of Financial Analysis, Elsevier, vol. 104(PB).
  51. Li, Sufang & Zhang, Hu & Yuan, Di, 2019. "Investor attention and crude oil prices: Evidence from nonlinear Granger causality tests," Energy Economics, Elsevier, vol. 84(C).
  52. Papadamou, Stephanos & Fassas, Athanasios P. & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2023. "Effects of the first wave of COVID-19 pandemic on implied stock market volatility: International evidence using a google trend measure," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
  53. Gong, Xue & Ji, Shidong & Zhang, Yaojie, 2025. "Attention to climate events and carbon price volatility," Finance Research Letters, Elsevier, vol. 79(C).
  54. Joscha Beckmann & Joseph Agyapong, 2026. "Media Sentiment and Oil Price Expectations," The Energy Journal, , vol. 47(1), pages 193-242, January.
  55. Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
  56. Liu, Yuanyuan & Niu, Zibo & Suleman, Muhammad Tahir & Yin, Libo & Zhang, Hongwei, 2022. "Forecasting the volatility of crude oil futures: The role of oil investor attention and its regime switching characteristics under a high-frequency framework," Energy, Elsevier, vol. 238(PA).
  57. Duan, Huayou & Zhao, Chenchen & Wang, Lu & Liu, Guangqiang, 2024. "The relationship between renewable energy attention and volatility: A HAR model with markov time-varying transition probability," Research in International Business and Finance, Elsevier, vol. 71(C).
  58. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Bouri, Elie, 2024. "Energy-related uncertainty and international stock market volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 280-293.
  59. Khaskheli, Asadullah & Zhang, Hongyu & Raza, Syed Ali & Khan, Komal Akram, 2022. "Assessing the influence of news indicator on volatility of precious metals prices through GARCH-MIDAS model: A comparative study of pre and during COVID-19 period," Resources Policy, Elsevier, vol. 79(C).
  60. Jiang, Yong & Ren, Yi-Shuai & Ma, Chao-Qun & Liu, Jiang-Long & Sharp, Basil, 2020. "Does the price of strategic commodities respond to U.S. partisan conflict?," Resources Policy, Elsevier, vol. 66(C).
  61. Anh, Dao Le Trang & Quang, Nguyen Thi Thieu & Anh, Nguyen Tuan, 2024. "Investment decision and efficiency: Global insights on manufacturing firms amidst energy uncertainties," Energy Economics, Elsevier, vol. 137(C).
  62. Afkhami, Mohamad & Ghoddusi, Hamed & Rafizadeh, Nima, 2021. "Google Search Explains Your Gasoline Consumption!," Energy Economics, Elsevier, vol. 99(C).
  63. Abay,Kibrom A. & Hirfrfot,Kibrom Tafere & Woldemichael,Andinet, 2020. "Winners and Losers from COVID-19 : Global Evidence from Google Search," Policy Research Working Paper Series 9268, The World Bank.
  64. Assad Ullah & Jiang Chen & Meiping Sun & Adeel Riaz & Mesut Dogan, 2025. "Do business and consumer confidence in China respond to energy-related uncertainty? A quantile-based analysis," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
  65. Asgari, Mahdi & Nemati, Mehdi & Zheng, Yuqing, "undated". "Nowcasting Food Stock Movement using Food Safety Related Web Search Queries," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266323, Southern Agricultural Economics Association.
  66. Chen, Rongda & Bao, Weiwei & Jin, Chenglu, 2021. "Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 112-129.
  67. Qu, Hui & Li, Guo, 2023. "Multi-perspective investor attention and oil futures volatility forecasting," Energy Economics, Elsevier, vol. 119(C).
  68. Zhuyun Xie & Hyder Ali & Suresh Kumar & Salma Naz & Umair Ahmed, 2024. "The Impact of Energy-Related Uncertainty on Corporate Investment Decisions in China," Energies, MDPI, vol. 17(10), pages 1-26, May.
  69. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Adewuyi, Adeolu, 2020. "Google trends and the predictability of precious metals," Resources Policy, Elsevier, vol. 65(C).
  70. Lyócsa, Štefan & Todorova, Neda, 2024. "What drives the uranium sector risk? The role of attention, economic and geopolitical uncertainty," Energy Economics, Elsevier, vol. 140(C).
  71. Yongjie Zhang & Yue Li & Dehua Shen, 2022. "Investor Attention and the Carbon Emission Markets in China: A Nonparametric Wavelet-Based Causality Test," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(1), pages 123-137, March.
  72. Bangzhu Zhu & Chunzhuo Wan & Ping Wang & Julien Chevallier, 2025. "Forecasting carbon market volatility with big data," Annals of Operations Research, Springer, vol. 348(1), pages 317-343, May.
  73. Afees A. Salisu & Ahamuefula E.Oghonna & Rangan Gupta & Oguzhan Cepni, 2024. "Energy Market Uncertainties and US State-Level Stock Market Volatility: A GARCH-MIDAS Approach," Working Papers 202409, University of Pretoria, Department of Economics.
  74. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
  75. Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2022. "Renewable energy stocks forecast using Twitter investor sentiment and deep learning," Energy Economics, Elsevier, vol. 114(C).
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