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Google search volume and its influence on liquidity and returns of German stocks

Citations

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Cited by:

  1. Siganos, Antonios, 2013. "Google attention and target price run ups," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 219-226.
  2. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
  3. Chen, Rongda & Wu, Ling & Jin, Chenglu & Wang, Shengnan, 2021. "Unintended investor sentiment on bank financial products: Evidence from China," Emerging Markets Review, Elsevier, vol. 49(C).
  4. Ramos, Sofia B. & Latoeiro, Pedro & Veiga, Helena, 2020. "Limited attention, salience of information and stock market activity," Economic Modelling, Elsevier, vol. 87(C), pages 92-108.
  5. Zhen-Hua Yang & Jian-Guo Liu & Chang-Rui Yu & Jing-Ti Han, 2017. "Quantifying the effect of investors’ attention on stock market," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.
  6. Aouadi, Amal & Arouri, Mohamed & Roubaud, David, 2018. "Information demand and stock market liquidity: International evidence," Economic Modelling, Elsevier, vol. 70(C), pages 194-202.
  7. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
  8. Salisu, Afees A. & Ogbonna, Ahamuefula E., 2022. "The return volatility of cryptocurrencies during the COVID-19 pandemic: Assessing the news effect," Global Finance Journal, Elsevier, vol. 54(C).
  9. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
  10. Huang, Jianbai & Tang, Jing & Zhang, Hongwei, 2020. "The effect of investors’ information search behaviors on rebar market return dynamics using high frequency data," Resources Policy, Elsevier, vol. 66(C).
  11. Desagre, Christophe & D’Hondt, Catherine, 2021. "Googlization and retail trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  12. Salisu, Afees A. & Vo, Xuan Vinh, 2021. "Firm-specific news and the predictability of Consumer stocks in Vietnam," Finance Research Letters, Elsevier, vol. 41(C).
  13. Raphael H Heiberger, 2015. "Collective Attention and Stock Prices: Evidence from Google Trends Data on Standard and Poor's 100," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-14, August.
  14. Prashant Das & Alan Ziobrowski & N. Coulson, 2015. "Online Information Search, Market Fundamentals and Apartment Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 51(4), pages 480-502, November.
  15. Semen Son-Turan, 2016. "The Impact of Investor Sentiment on the "Leverage Effect"," International Econometric Review (IER), Econometric Research Association, vol. 8(1), pages 4-18, April.
  16. Melody Y. Huang & Randall R. Rojas & Patrick D. Convery, 2020. "Forecasting stock market movements using Google Trend searches," Empirical Economics, Springer, vol. 59(6), pages 2821-2839, December.
  17. Huang, Tzu-Lun, 2018. "The puzzling media effect in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 129-146.
  18. Anastasiou, Dimitris & Ballis, Antonis & Drakos, Konstantinos, 2022. "Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets," International Review of Financial Analysis, Elsevier, vol. 81(C).
  19. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
  20. Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019. "Noise traders and smart money: Evidence from online searches," Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
  21. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
  22. Smales, L.A., 2022. "Investor attention in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 79(C).
  23. Tuğba NUR-TOPALOĞLU & İlhan EGE, 2020. "The Effect of Investor Attention on Equity Markets: Panel Data Analysis on Banks Traded on Borsa Istanbul," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(44).
  24. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2014. "Coupling news sentiment with web browsing data improves prediction of intra-day price dynamics," Papers 1412.3948, arXiv.org, revised Dec 2015.
  25. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2016. "Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-14, January.
  26. Ana Brochado, 2016. "Investor attention and Portuguese stock market volatility: We’ll google it for you!," EcoMod2016 9345, EcoMod.
  27. Fang, Jianchun & Gozgor, Giray & Lau, Chi-Keung Marco & Lu, Zhou, 2020. "The impact of Baidu Index sentiment on the volatility of China's stock markets," Finance Research Letters, Elsevier, vol. 32(C).
  28. A. Sarath Babu, 2019. "Investors` attention and American depository receipts pricing: evidence from Indian stocks," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(12), pages 381-386, December.
  29. Owain Ap Gwilym & Iftekhar Hasan & Qingwei Wang & Ru Xie, 2016. "In Search of Concepts: The Effects of Speculative Demand on Stock Returns," European Financial Management, European Financial Management Association, vol. 22(3), pages 427-449, June.
  30. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
  31. Philipp Stephan & Rüdiger Nitzsch, 2013. "Do individual investors’ stock recommendations in online communities contain investment value?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(2), pages 149-186, June.
  32. Chang, Young Bong & Kwon, YoungOk, 2018. "Ambiguities in valuing information technology firms: Do internet searches help?," Journal of Business Research, Elsevier, vol. 92(C), pages 260-269.
  33. Thomas Dimpfl & Tobias Langen, 2019. "How Unemployment Affects Bond Prices: A Mixed Frequency Google Nowcasting Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 551-573, August.
  34. Chen, Hong-Yi & Chen, Hsuan-Chi & Lai, Christine W., 2021. "Internet search, fund flows, and fund performance," Journal of Banking & Finance, Elsevier, vol. 129(C).
  35. Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
  36. Dimpfl, Thomas & Langen, Tobias, 2015. "A Cross-Country Analysis of Unemployment and Bonds with Long-Memory Relations," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112921, Verein für Socialpolitik / German Economic Association.
  37. Vighneswara Swamy & M. Dharani, 2020. "RETRACTED ARTICLE: Google Search Intensity and the Investor Attention Effect: A Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(2), pages 403-423, June.
  38. Takumi Ito & Motoki Masuda & Ayaka Naito & Fumiko Takeda, 2021. "Application of Google Trends‐based sentiment index in exchange rate prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1154-1178, November.
  39. Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
  40. Sifat, Imtiaz Mohammad & Thaker, Hassanudin Mohd Thas, 2020. "Predictive power of web search behavior in five ASEAN stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
  41. Takayuki Morimoto & Yoshinori Kawasaki, 2017. "Forecasting Financial Market Volatility Using a Dynamic Topic Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 149-167, September.
  42. Klomp, Jeroen, 2020. "The impact of Russian sanctions on the return of agricultural commodity futures in the EU," Research in International Business and Finance, Elsevier, vol. 51(C).
  43. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2014. "Internet, noise trading and commodity futures prices," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 82-89.
  44. Zhong, Angel & Chai, Daniel & Li, Bob & Chiah, Mardy, 2018. "Volume shocks and stock returns: An alternative test," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 1-16.
  45. Tariq Aziz & Valeed Ahmad Ansari, 2021. "How Does Google Search Affect the Stock Market? Evidence from Indian Companies," Vision, , vol. 25(2), pages 224-232, June.
  46. Bilal Hafeez & M. Humayun Kabir & Udomsak Wongchoti, 2022. "Are retail investors really passive? Shareholder activism in the digital age," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(3-4), pages 423-460, March.
  47. Tamgac, Unay, 2021. "Emerging market exchange rates during quantitative tapering: The effect of US and domestic news," Research in International Business and Finance, Elsevier, vol. 57(C).
  48. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2012. "Information Demand and Agriculture Commodity Prices," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144973, International European Forum on System Dynamics and Innovation in Food Networks.
  49. Semen Son Turan, 2014. "Internet Search Volume and Stock Return Volatility: The Case of Turkish Companies," Information Management and Business Review, AMH International, vol. 6(6), pages 317-328.
  50. Takeda, Fumiko & Wakao, Takumi, 2014. "Google search intensity and its relationship with returns and trading volume of Japanese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 1-18.
  51. Joon Chae & Ryumi Kim & Jaehee Han, 2020. "Investor Attention from Internet Search Volume and Underreaction to Earnings Announcements in Korea," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
  52. repec:zbw:bofrdp:2013_010 is not listed on IDEAS
  53. Rashid AMIN & Habib AHMAD, 2013. "Does Investor Attention Matter�S?," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 4(4), pages 111-125, December.
  54. Adachi, Yuta & Masuda, Motoki & Takeda, Fumiko, 2017. "Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 243-257.
  55. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
  56. Afees A. Salisu & Ahamuefula E. Ogbonna & Idris Adediran, 2021. "Stock‐induced Google trends and the predictability of sectoral stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 327-345, March.
  57. Boone, Tonya & Ganeshan, Ram & Jain, Aditya & Sanders, Nada R., 2019. "Forecasting sales in the supply chain: Consumer analytics in the big data era," International Journal of Forecasting, Elsevier, vol. 35(1), pages 170-180.
  58. Xiaolin Wang & Qiang Ye & Feng Zhao & Yi Kou, 2018. "Investor sentiment and the Chinese index futures market: Evidence from the internet search," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(4), pages 468-477, April.
  59. Gang Chu & Xiao Li & Dehua Shen & Yongjie Zhang, 2021. "Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 397-427, September.
  60. Kristoufek, Ladislav, 2015. "Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 194-205.
  61. González-Fernández, Marcos & González-Velasco, Carmen, 2018. "Can Google econometrics predict unemployment? Evidence from Spain," Economics Letters, Elsevier, vol. 170(C), pages 42-45.
  62. Hao, Jing & Xiong, Xiong, 2021. "Retail investor attention and firms' idiosyncratic risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 74(C).
  63. Bleher, Johannes & Dimpfl, Thomas, 2022. "Knitting Multi-Annual High-Frequency Google Trends to Predict Inflation and Consumption," Econometrics and Statistics, Elsevier, vol. 24(C), pages 1-26.
  64. Kou, Yi & Ye, Qiang & Zhao, Feng & Wang, Xiaolin, 2018. "Effects of investor attention on commodity futures markets," Finance Research Letters, Elsevier, vol. 25(C), pages 190-195.
  65. Nguyen, Cuong & Hoang, Lai & Shim, Jungwook & Truong, Phuong, 2020. "Internet search intensity, liquidity and returns in emerging markets," Research in International Business and Finance, Elsevier, vol. 52(C).
  66. Moussa, Faten & BenOuda, Olfa & Delhoumi, Ezzeddine, 2017. "The use of open source internet to analysis and predict stock market trading volume," Research in International Business and Finance, Elsevier, vol. 41(C), pages 399-411.
  67. Imene Ben El Hadj Said & Skander Slim, 2022. "The Dynamic Relationship between Investor Attention and Stock Market Volatility: International Evidence," JRFM, MDPI, vol. 15(2), pages 1-25, February.
  68. 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).
  69. He, Feng & Yan, Yulin & Hao, Jing & Wu, Ji (George), 2022. "Retail investor attention and corporate green innovation: Evidence from China," Energy Economics, Elsevier, vol. 115(C).
  70. Baur, Dirk G. & Dimpfl, Thomas, 2016. "Googling gold and mining bad news," Resources Policy, Elsevier, vol. 50(C), pages 306-311.
  71. Kao, Lanfeng & Chen, Anlin & Lu, Cheng-Shou, 2022. "Retail investor attention and IPO prices with a pre-IPO market," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 416-432.
  72. Arunava Bandyopadhyay & Prabina Rajib, 2023. "The impact of Sino–US trade war on price discovery of soybean: A double‐edged sword?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 858-879, July.
  73. Campos, I. & Cortazar, G. & Reyes, T., 2017. "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, vol. 66(C), pages 194-204.
  74. Tony Chieh‐Tse Hou, 2019. "The relationship between corporate social responsibility and sustainable financial performance: firm‐level evidence from Taiwan," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(1), pages 19-28, January.
  75. Kupfer, Alexander & Schmidt, Markus G., 2021. "In search of retail investors: The effect of retail investor attention on odd lot trades," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 315-326.
  76. Aharon, David Y. & Qadan, Mahmoud, 2018. "What drives the demand for information in the commodity market?," Resources Policy, Elsevier, vol. 59(C), pages 532-543.
  77. Massimo PERI & Daniela VANDONE & Lucia BALDI, 2012. "Internet, noise trading and commodity prices," Departmental Working Papers 2012-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  78. Liu, Fengqi & Kang, Yuxin & Guo, Kun & Sun, Xiaolei, 2021. "The relationship between air pollution, investor attention and stock prices: Evidence from new energy and polluting sectors," Energy Policy, Elsevier, vol. 156(C).
  79. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
  80. Siwen Zhou, 2021. "Exploring the driving forces of the Bitcoin currency exchange rate dynamics: an EGARCH approach," Empirical Economics, Springer, vol. 60(2), pages 557-606, February.
  81. Chang, Young Bong & Kwon, YoungOk, 2020. "Attention-grabbing IPOs in early stages for IT firms: An empirical analysis of post-IPO performance," Journal of Business Research, Elsevier, vol. 109(C), pages 111-119.
  82. Dimpfl Thomas & Kleiman Vladislav, 2019. "Investor Pessimism and the German Stock Market: Exploring Google Search Queries," German Economic Review, De Gruyter, vol. 20(1), pages 1-28, February.
  83. Moussa, Faten & Delhoumi, Ezzeddine & Ouda, Olfa Ben, 2017. "Stock return and volatility reactions to information demand and supply," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 54-67.
  84. Zhang, Yuzhao & Liu, Haifei, 2021. "Stock market reactions to social media: Evidence from WeChat recommendations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
  85. Ekinci, Cumhur & Bulut, Ali Eray, 2021. "Google search and stock returns: A study on BIST 100 stocks," Global Finance Journal, Elsevier, vol. 47(C).
  86. Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
  87. Zhou, Siwen, 2018. "Exploring the Driving Forces of the Bitcoin Exchange Rate Dynamics: An EGARCH Approach," MPRA Paper 89445, University Library of Munich, Germany.
  88. ap Gwilym, O. & Kita, A. & Wang, Q., 2014. "Speculate against speculative demand," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 212-221.
  89. Raúl Gómez‐Martínez & Carmen Orden‐Cruz & Juan Gabriel Martínez‐Navalón, 2022. "Wikipedia pageviews as investors’ attention indicator for Nasdaq," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 41-49, January.
  90. Mišečka, Tomáš & Ciaian, Pavel & Rajčániová, Miroslava & Pokrivčák, Jan, 2019. "In search of attention in agricultural commodity markets," Economics Letters, Elsevier, vol. 184(C).
  91. Aleksandra Rutkowska & Agata Kliber, 2021. "Say anything you want about me if you spell my name right: the effect of Internet searches on financial market," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 633-664, June.
  92. Goddard, John & Kita, Arben & Wang, Qingwei, 2015. "Investor attention and FX market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 79-96.
  93. Daniel Chai & Mengjia Dai & Philip Gharghori & Barbara Hong, 2021. "Internet Search Intensity and Its Relation with Trading Activity and Stock Returns," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 282-311, March.
  94. Vakrman, Tomas & Kristoufek, Ladislav, 2015. "Underpricing, underperformance and overreaction in initial pubic offerings: Evidence from investor attention using online searches," FinMaP-Working Papers 35, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
  95. He, Feng & Qin, Shuqi & Zhang, Xiaotao, 2021. "Investor attention and platform interest rate in Chinese peer-to-peer lending market," Finance Research Letters, Elsevier, vol. 39(C).
  96. Gao, Yang & Wang, Yaojun & Wang, Chao & Liu, Chao, 2018. "Internet attention and information asymmetry: Evidence from Qihoo 360 search data on the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 802-811.
  97. Wu, Ming-Hung & Tsai, Wei-Che & Lu, Chia-Chi & Zhang, Hang, 2022. "Google searches around analyst recommendation revision announcements: Evidence from the Taiwan stock market," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 75-97.
  98. Gwilym, Owain Ap & Wang, Qvigwei & Hasan, Iftekhar & Xie, Ru, 2013. "In search of concepts : The effects of speculative demand on returns and volume," Research Discussion Papers 10/2013, Bank of Finland.
  99. Tang, Wenbin & Zhu, Lili, 2017. "How security prices respond to a surge in investor attention: Evidence from Google Search of ADRs," Global Finance Journal, Elsevier, vol. 33(C), pages 38-50.
  100. Swamy, Vighneswara & Dharani, M. & Takeda, Fumiko, 2019. "Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 50(C), pages 1-17.
  101. Salisu, Afees A. & Vo, Xuan Vinh, 2020. "Predicting stock returns in the presence of COVID-19 pandemic: The role of health news," International Review of Financial Analysis, Elsevier, vol. 71(C).
  102. Qian Chen & Xiang Gao & Jianming Mo & Zhouling Xu, 2022. "Market Reaction to Local Attention around Earnings Announcements in China: Evidence from Internet Search Activity," IJFS, MDPI, vol. 10(4), pages 1-26, October.
  103. Jing Wu & Yongheng Deng, 2015. "Intercity Information Diffusion and Price Discovery in Housing Markets: Evidence from Google Searches," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 289-306, April.
  104. Hsieh, Shu-Fan & Chan, Chia-Ying & Wang, Ming-Chun, 2020. "Retail investor attention and herding behavior," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 109-132.
  105. Zhang, Wei & Shen, Dehua & Zhang, Yongjie & Xiong, Xiong, 2013. "Open source information, investor attention, and asset pricing," Economic Modelling, Elsevier, vol. 33(C), pages 613-619.
  106. Bleher, Johannes & Dimpfl, Thomas, 2019. "Today I got a million, tomorrow, I don't know: On the predictability of cryptocurrencies by means of Google search volume," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 147-159.
  107. Tripathi, Abhinava & Pandey, Ashish, 2021. "Information dissemination across global markets during the spread of COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 103-115.
  108. Meshcheryakov, Artem & Winters, Drew B., 2022. "Retail investor attention and the limit order book: Intraday analysis of attention-based trading," International Review of Financial Analysis, Elsevier, vol. 81(C).
  109. Mauck, Nathan & Pruitt, Stephen & Zhang, Wenjia, 2022. "Words matter: Market responses to changes in U.S. and Chinese trade-related internet search frequency under different U.S. administrations," Global Finance Journal, Elsevier, vol. 53(C).
  110. Cai, Wenwu & Lu, Jing, 2019. "Investors’ financial attention frequency and trading activity," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
  111. Michael Olumekor & Hossam Haddad & Nidal Mahmoud Al-Ramahi, 2023. "The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
  112. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "A sentiment index to measure sovereign risk using Google data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 406-418.
  113. repec:ipg:wpaper:2014-405 is not listed on IDEAS
  114. Aouadi, Amal & Arouri, Mohamed & Teulon, Frédéric, 2013. "Investor attention and stock market activity: Evidence from France," Economic Modelling, Elsevier, vol. 35(C), pages 674-681.
  115. Kim, Neri & Lučivjanská, Katarína & Molnár, Peter & Villa, Roviel, 2019. "Google searches and stock market activity: Evidence from Norway," Finance Research Letters, Elsevier, vol. 28(C), pages 208-220.
  116. Gao, Lei & Mei, Bin, 2013. "Investor attention and abnormal performance of timberland investments in the United States," Forest Policy and Economics, Elsevier, vol. 28(C), pages 60-65.
  117. Lei, Lijun (Gillian) & Li, Yutao & Luo, Yan, 2019. "Production and dissemination of corporate information in social media: A review," Journal of Accounting Literature, Elsevier, vol. 42(C), pages 29-43.
  118. Gwilym, Owain Ap & Wang, Qvigwei & Hasan, Iftekhar & Xie, Ru, 2013. "In search of concepts: The effects of speculative demand on returns and volume," Bank of Finland Research Discussion Papers 10/2013, Bank of Finland.
  119. Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang, 2018. "Crude oil price forecasting based on internet concern using an extreme learning machine," International Journal of Forecasting, Elsevier, vol. 34(4), pages 665-677.
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