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20. Renewable energy stocks forecast using Twitter investor sentiment and deep learning. (2022). Constantino, Michel ; Su, Jen-Je ; Herrera, Gabriel Paes ; Naranpanawa, Athula.
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22. Forecasting Realized Volatility of Crude Oil Futures Prices based on Machine Learning. (2021). Walther, Thomas ; Ji, Qiang ; Luo, Jiawen ; Klein, Tony.
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24. Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China. (2021). Bao, Weiwei ; Chen, Rongda ; Jin, Chenglu.
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25. The power of investor sentiment in explaining bank stock performance: Listed conventional vs. Islamic banks. (2021). Shaiban, Mohammed ; Hasanov, Akram ; Di, LI.
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26. The impact of events on metal futures based on the perspective of Google Trends. (2021). Yu, Zhuling ; Guo, Yaoqi ; Cheng, Hui ; Wei, HE.
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27. Google Search Explains Your Gasoline Consumption!. (2021). Rafizadeh, Nima ; Afkhami, Mohamad ; Ghoddusi, Hamed.
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28. Does online investor attention drive the co-movement of stock-, commodity-, and energy markets? Insights from Google searches. (2021). Prange, Philipp.
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29. Investor attention and oil market volatility: Does economic policy uncertainty matter?. (2021). Wang, Yudong ; Xiao, Jihong.
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30. Public Attention to Environmental Issues and Stock Market Returns. (2021). Guesmi, Khaled ; Peillex, Jonathan ; el Ouadghiri, Imane ; Ziegler, Andreas.
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31. Now-casting Romanian migration into the United Kingdom by using Google Search engine data. (2021). Winiowski, Arkadiusz ; Avramescu, Andreea.
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32. Winners and Losers from COVID-19 : Global Evidence from Google Search. (2020). Woldemichael, Andinet ; Tafere, Kibrom ; Abay, Kibrom ; Hirfrfot, Kibrom Tafere.
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33. Epidemiology of inflation expectations and internet search: an analysis for India. (2020). Chattopadhyay, Siddhartha ; Sahu, Sohini.
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34. Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis. (2020). Papadamou, Stephanos ; Kenourgios, Dimitris ; Fassas, Athanasios ; Dimitriou, Dimitrios.
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35. Forecasting crude oil price with multilingual search engine data. (2020). Wang, Shouyang ; Tang, Ling ; Li, Jingjing.
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36. Does the price of strategic commodities respond to U.S. partisan conflict?. (2020). Jiang, Yong ; Ren, Yi-Shuai ; Liu, Jiang-Long ; Ma, Chao-Qun ; Sharp, Basil.
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37. Google trends and the predictability of precious metals. (2020). Salisu, Afees ; Ogbonna, Ahamuefula ; Adewuyi, Adeolu.
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38. The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain. (2020). Ling, Tang ; Jingjing, LI.
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39. Does the price of strategic commodities respond to U.S. Partisan Conflict?. (2020). Jiang, Yong.
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40. Epidemiology of Inflation Expectations and Internet Search- An Analysis for India. (2019). Chattopadhyay, Siddhartha ; Sahu, Sohini ; Jha, Saakshi.
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41. Public attention to environmental issues and stock market returns. (2019). Guesmi, Khaled ; Peillex, Jonathan ; el Ouadghiri, Imane ; Ziegler, Andreas.
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42. Financial attention and the demand for information. (2019). Qadan, Mahmoud ; Zouabi, Maher.
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43. The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets. (2019). Ji, Qiang ; Song, Yingjie ; Du, Ya-Juan ; Geng, Jiang-Bo.
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44. Investor attention and crude oil prices: Evidence from nonlinear Granger causality tests. (2019). Li, Sufang ; Zhang, HU ; Yuan, DI.
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45. Spillovers between the oil sector and the S&P500: The impact of information flow about crude oil. (2019). Clements, Adam ; Aromi, J. Daniel.
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46. OPEC in the news. (2019). Plante, Michael.
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47. Media attention and crude oil volatility: Is there any new news in the newspaper?. (2018). Clements, Adam ; Aromi, J. Daniel.
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48. OPEC in the News. (2018). Plante, Michael.
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49. Does investor attention to energy stocks exhibit power law?. (2018). Ranjan, Ravi Prakash ; Bhattachharyya, Malay.
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50. Nowcasting Food Stock Movement using Food Safety Related Web Search Queries. (2018). Zheng, Yuqing ; Nemati, Mehdi ; Asgari, Mahdi.
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