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Investor attention, index performance, and return predictability

Citations

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Cited by:

  1. Ding, Zhihua & Liu, Zhenhua & Zhang, Yuejun & Long, Ruyin, 2017. "The contagion effect of international crude oil price fluctuations on Chinese stock market investor sentiment," Applied Energy, Elsevier, vol. 187(C), pages 27-36.
  2. Falik Shear & Badar Nadeem Ashraf & Mohsin Sadaqat, 2020. "Are Investors’ Attention and Uncertainty Aversion the Risk Factors for Stock Markets? International Evidence from the COVID-19 Crisis," Risks, MDPI, vol. 9(1), pages 1-15, December.
  3. Marmora, Paul, 2022. "Does monetary policy fuel bitcoin demand? Event-study evidence from emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
  4. 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.
  5. Stig Vinther Møller & Thomas Pedersen & Erik Christian Montes Schütte & Allan Timmermann, 2024. "Search and Predictability of Prices in the Housing Market," Management Science, INFORMS, vol. 70(1), pages 415-438, January.
  6. Shi, Guiqiang & Goodell, John W. & Shen, Dehua, 2024. "Return volatility and trading volume of GameFi," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
  7. Han, Liyan & Xu, Yang & Yin, Libo, 2017. "Does investor attention matter? The attention-return relation in gold futures market," Economics Discussion Papers 2017-37, Kiel Institute for the World Economy (IfW Kiel).
  8. Dihin Septyanto & Nur Sayidah & Aminullah Assagaf, 2021. "The Intention of Investors in Making Investment Decisions in Sharia Stocks: Empirical Study in Indonesian," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 10, July.
  9. Wen, Fenghua & Xu, Longhao & Ouyang, Guangda & Kou, Gang, 2019. "Retail investor attention and stock price crash risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 65(C).
  10. Reyes, Tomas & Batista, Julian A. & Chacon, Alvaro & Martinez, Diego & Kausel, Edgar E., 2023. "Attention-driven reaction to extreme earnings surprises," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 230-248.
  11. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
  12. Chundakkadan, Radeef & Nedumparambil, Elizabeth, 2022. "In search of COVID-19 and stock market behavior," Global Finance Journal, Elsevier, vol. 54(C).
  13. Xing, Li-Min & Zhang, Yue-Jun, 2022. "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, vol. 110(C).
  14. El Ouadghiri, Imane & Peillex, Jonathan, 2018. "Public attention to “Islamic terrorism” and stock market returns," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 936-946.
  15. Ozdamar, Melisa & Sensoy, Ahmet & Akdeniz, Levent, 2022. "Retail vs institutional investor attention in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
  16. Liu, Chunyuan & Han, Liyan & Chu, Gang, 2023. "The effect of overnight corporate announcements on price discovery," Finance Research Letters, Elsevier, vol. 53(C).
  17. 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.
  18. Liu, Zhenhua & Chen, Shumin & Zhong, Hongyu & Ding, Zhihua, 2024. "Coal price shocks, investor sentiment, and stock market returns," Energy Economics, Elsevier, vol. 135(C).
  19. Desagre, Christophe & D’Hondt, Catherine, 2021. "Googlization and retail trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  20. Wang, Yizhi & Wei, Yu & Lucey, Brian M. & Su, Yang, 2023. "Return spillover analysis across central bank digital currency attention and cryptocurrency markets," Research in International Business and Finance, Elsevier, vol. 64(C).
  21. Jain, Anshul & Biswal, Pratap Chandra, 2019. "Does internet search interest for gold move the gold spot, stock and exchange rate markets? A study from India," Resources Policy, Elsevier, vol. 61(C), pages 501-507.
  22. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020. "Fear of hazards in commodity futures markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
  23. 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.
  24. Ton, Thai & Leung, Henry & Gao, Yang & Schiereck, Dirk, 2024. "Agreeing to disagree: Informativeness of sentiments in internet message boards," Pacific-Basin Finance Journal, Elsevier, vol. 87(C).
  25. Yung, Kenneth & Nafar, Nadia, 2017. "Investor attention and the expected returns of reits," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 423-439.
  26. Peltomäki, Jarkko & Vähämaa, Emilia, 2015. "Investor attention to the Eurozone crisis and herding effects in national bank stock indexes," Finance Research Letters, Elsevier, vol. 14(C), pages 111-116.
  27. 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.
  28. Lee, Eun Jung & Lee, Yu Kyung & Kim, Ryumi, 2022. "Investor attention and the risk-return trade-off," Finance Research Letters, Elsevier, vol. 47(PA).
  29. 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.
  30. Eom, Cheoljun & Kaizoji, Taisei & Kang, Sang Hoon & Pichl, Lukas, 2019. "Bitcoin and investor sentiment: Statistical characteristics and predictability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 511-521.
  31. Fan, Xiaoqian & Yuan, Ying & Zhuang, Xintian & Jin, Xiu, 2017. "Long memory of abnormal investor attention and the cross-correlations between abnormal investor attention and trading volume, volatility respectively," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 323-333.
  32. Ana Brochado, 2016. "Investor attention and Portuguese stock market volatility: We’ll google it for you!," EcoMod2016 9345, EcoMod.
  33. Afkhami, Mohamad & Cormack, Lindsey & Ghoddusi, Hamed, 2017. "Google search keywords that best predict energy price volatility," Energy Economics, Elsevier, vol. 67(C), pages 17-27.
  34. Shi, Guiqiang & Goodell, John W. & Shen, Dehua, 2024. "Investor attention and GameFi returns: A transfer entropy analysis," Finance Research Letters, Elsevier, vol. 61(C).
  35. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
  36. repec:men:wpaper:57_2015 is not listed on IDEAS
  37. 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.
  38. Daniel Borup & Erik Christian Montes Schütte, 2022. "In Search of a Job: Forecasting Employment Growth Using Google Trends," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 186-200, January.
  39. 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.
  40. Hamid, Alain & Heiden, Moritz, 2015. "Forecasting volatility with empirical similarity and Google Trends," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 62-81.
  41. Ghaddab, Sarra & Peretti, Christian de & Belkacem, Lotfi, 2025. "Are stock markets efficient with respect to the Google search volume index? A robustness check of the literature studies," Research in International Business and Finance, Elsevier, vol. 73(PA).
  42. Chen, Chen & Lee, Hsiu-Chuan & Liao, Tzu-Hsiang, 2016. "Risk-neutral skewness and market returns: The role of institutional investor sentiment in the futures market," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 203-225.
  43. Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
  44. Deeney, Peter & Cummins, Mark & Dowling, Michael & Smeaton, Alan F., 2016. "Influences from the European Parliament on EU emissions prices," Energy Policy, Elsevier, vol. 88(C), pages 561-572.
  45. Qingjie Zhou & Panpan Zhu & Yinpeng Zhang, 2023. "Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention," Energies, MDPI, vol. 16(2), pages 1-22, January.
  46. Bonaparte, Yosef & Bernile, Gennaro, 2023. "A new “Wall Street Darling?” effects of regulation sentiment in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 52(C).
  47. Massimo Guidolin & Alexei G. Orlov & Manuela Pedio, 2018. "How good can heuristic-based forecasts be? A comparative performance of econometric and heuristic models for UK and US asset returns," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 139-169, January.
  48. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
  49. Klemola, Antti, 2020. "Internet search-based investor sentiment and value premium," Finance Research Letters, Elsevier, vol. 33(C).
  50. 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).
  51. 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.
  52. Stephanos Papadamou & Alexandros Koulis & Constantinos Kyriakopoulos & Athanasios P. Fassas, 2022. "Cannabis Stocks Returns: The Role of Liquidity and Investors’ Attention via Google Metrics," IJFS, MDPI, vol. 10(1), pages 1-11, January.
  53. 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.
  54. 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).
  55. Hugh M. J. Colaco & Amedeo De Cesari & Shantaram P. Hegde, 2017. "Retail Investor Attention and IPO Valuation," European Financial Management, European Financial Management Association, vol. 23(4), pages 691-727, September.
  56. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "Quantifying the cross-correlations between online searches and Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 657-672.
  57. Feng Dong, 2020. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 467-488, September.
  58. Paritosh Chandra Sinha, 2023. "Attention to the Fads and Fashions in the Indian Stock Markets During COVID-19," Vision, , vol. 27(2), pages 202-224, April.
  59. Mehwish Aziz Khan & Eatzaz Ahmad, 2018. "Measurement of Investor Sentiment and Its Bi-Directional Contemporaneous and Lead–Lag Relationship with Returns: Evidence from Pakistan," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
  60. Warkulat, Sonja & Pelster, Matthias, 2024. "Social media attention and retail investor behavior: Evidence from r/wallstreetbets," International Review of Financial Analysis, Elsevier, vol. 96(PB).
  61. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna, 2023. "Investor Attention and Global Stock Market Volatility: Evidence from COVID-19," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(1), pages 85-104, March.
  62. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Forecasting the CNY-CNH pricing differential: The role of investor attention," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 232-247.
  63. Bozok, İhsan & Özyıldırım, Süheyla, 2022. "Firm centrality and limited attention," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 483-500.
  64. Geng, Yuedan & Ye, Qiang & Jin, Yu & Shi, Wen, 2022. "Crowd wisdom and internet searches: What happens when investors search for stocks?," International Review of Financial Analysis, Elsevier, vol. 82(C).
  65. Juan Pablo Gutierrez Pineda & Daniel Perez Liston, 2021. "The Effect of U.S. Investor Sentiment on Cross-Listed Securities Returns: A High-Frequency Approach," JRFM, MDPI, vol. 14(10), pages 1-15, October.
  66. Xiao, Jihong & Wang, Yudong, 2022. "Good oil volatility, bad oil volatility, and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 953-966.
  67. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
  68. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Does investor attention matter? The attention-return relationships in FX markets," Economic Modelling, Elsevier, vol. 68(C), pages 644-660.
  69. Erik Christian Montes Schütte, 2018. "In Search of a Job: Forecasting Employment Growth in the US using Google Trends," CREATES Research Papers 2018-25, Department of Economics and Business Economics, Aarhus University.
  70. Cheng, Feiyang & Wang, Chunfeng & Chiao, Chaoshin & Yao, Shouyu & Fang, Zhenming, 2021. "Retail attention, retail trades, and stock price crash risk," Emerging Markets Review, Elsevier, vol. 49(C).
  71. C. N. V. Krishnan & Minghao Wu, 2022. "The Methodology Matters: What Influences Market Reaction, and Post-Issue Returns in Seasoned Equity Offerings?," JRFM, MDPI, vol. 15(10), pages 1-22, October.
  72. Wanidwaranan, Phasin & Padungsaksawasdi, Chaiyuth, 2022. "Unintentional herd behavior via the Google search volume index in international equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
  73. Lin, Zih-Ying, 2021. "Investor attention and cryptocurrency performance," Finance Research Letters, Elsevier, vol. 40(C).
  74. Munusamy Dharani & M. Kabir Hassan & Makeen Huda & Mohammad Zoynul Abedin, 2023. "Covid-19 pandemic and stock returns in India," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 251-266, March.
  75. Gupta, Kartick & Banerjee, Rajabrata, 2019. "Does OPEC news sentiment influence stock returns of energy firms in the United States?," Energy Economics, Elsevier, vol. 77(C), pages 34-45.
  76. Bampinas, Georgios & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2023. "Oil shocks and investor attention," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 68-81.
  77. Ding, Rong & Hou, Wenxuan & Liu, Yue (Lucy) & Zhang, John Ziyang, 2018. "Media censorship and stock price: Evidence from the foreign share discount in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 112-133.
  78. Shifen Zhou & Xiaojun Liu, 2022. "Internet postings and investor herd behavior: evidence from China’s open-end fund market," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
  79. Rodrigo Mulero & Alfredo García-Hiernaux, 2021. "Forecasting Spanish unemployment with Google Trends and dimension reduction techniques," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(3), pages 329-349, September.
  80. Jaroslav Bukovina, 2016. "Social Media and Capital Markets – an Overview," MENDELU Working Papers in Business and Economics 2016-57, Mendel University in Brno, Faculty of Business and Economics.
  81. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
  82. Piccoli, Pedro & de Castro, Jessica, 2021. "Attention-return relation in the gold market and market states," Resources Policy, Elsevier, vol. 74(C).
  83. Arabinda Basistha & Alexander Kurov & Marketa Halova Wolfe, . "Volatility forecasting: the role of internet search activity and implied volatility," Journal of Risk Model Validation, Journal of Risk Model Validation.
  84. Panpan Zhu & Qingjie Zhou & Yinpeng Zhang, 2024. "Investor attention and consumer price index inflation rate: Evidence from the United States," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
  85. Sanjay Sehgal & Neharika Sobti & Florent Diesting, 2021. "Who leads in intraday gold price discovery and volatility connectedness: Spot, futures, or exchange‐traded fund?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1092-1123, July.
  86. Mario Maggi & Pierpaolo Uberti, 2021. "Google search volumes for portfolio management: performances and asset concentration," Annals of Operations Research, Springer, vol. 299(1), pages 163-175, April.
  87. 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.
  88. Ronald MacDonald & Xuxin Mao, 2015. "An Alternative way of Predicting the Outcome of the Scottish Independence Referendum: The Information in the Ether," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-69, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  89. Yan Yan & Jiancheng Guan, 2019. "Entrepreneurial ecosystem, entrepreneurial rate and innovation: the moderating role of internet attention," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 625-650, June.
  90. Cui, Xin & Sensoy, Ahmet & Nguyen, Duc Khuong & Yao, Shouyu & Wu, Yiyao, 2022. "Positive information shocks, investor behavior and stock price crash risk," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 493-518.
  91. 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.
  92. 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).
  93. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2022. "Time-frequency spillovers among carbon, fossil energy and clean energy markets: The effects of attention to climate change," International Review of Financial Analysis, Elsevier, vol. 83(C).
  94. Byström, Hans, 2016. "Language, news and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.
  95. María José Ayala & Nicolás Gonzálvez-Gallego & Rocío Arteaga-Sánchez, 2024. "Google search volume index and investor attention in stock market: a systematic review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
  96. 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.
  97. Chen, Xi & Shangguan, Wuyue & Liu, Yanchu & Wang, Shichao, 2021. "Can network structure predict cross-sectional stock returns? Evidence from co-attention networks in China," Finance Research Letters, Elsevier, vol. 38(C).
  98. 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).
  99. Tao Huang & Xueyong Zhang, 2022. "Media coverage of industry and the cross‐section of stock returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1107-1141, April.
  100. Prakash Ranjan, Ravi & Bhattachharyya, Malay, 2018. "Does investor attention to energy stocks exhibit power law?," Energy Economics, Elsevier, vol. 75(C), pages 573-582.
  101. 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.
  102. 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).
  103. Wei Zhang & Kai Yan & Dehua Shen, 2021. "Can the Baidu Index predict realized volatility in the Chinese stock market?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
  104. Ding, Rong & Hou, Wenxuan, 2015. "Retail investor attention and stock liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 12-26.
  105. Bucher, Melk C., 2017. "Investor Attention and Sentiment: Risk or Anomaly?," Working Papers on Finance 1712, University of St. Gallen, School of Finance.
  106. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Ribeiro-Soriano, Domingo, 2020. "Does investor attention influence water companies’ stock returns?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  107. Diefeng Peng & Yulei Rao & Mei Wang, 2016. "Do Top 10 Lists of Daily Stock Returns Attract Investor Attention? Evidence from a Natural Experiment," International Review of Finance, International Review of Finance Ltd., vol. 16(4), pages 565-593, December.
  108. 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.
  109. Chen, Hongtao & Fang, Xiumei & Xiang, Erwei & Ji, Xiaojia & An, Maolin, 2023. "Do online media and investor attention affect corporate environmental information disclosure？Evidence from Chinese listed companies," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 1022-1040.
  110. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "An alternative approach to predicting bank credit risk in Europe with Google data," Finance Research Letters, Elsevier, vol. 35(C).
  111. Katsiampa, Paraskevi & Moutsianas, Konstantinos & Urquhart, Andrew, 2019. "Information demand and cryptocurrency market activity," Economics Letters, Elsevier, vol. 185(C).
  112. Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
  113. de Castro, Jessica & Piccoli, Pedro, 2023. "Do online searches actually measure future retail investor trades?," International Review of Financial Analysis, Elsevier, vol. 86(C).
  114. 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).
  115. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
  116. Dias, Ishanka K. & Fernando, J.M. Ruwani & Fernando, P. Narada D., 2022. "Does investor sentiment predict bitcoin return and volatility? A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 84(C).
  117. 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.
  118. Feng Dong, 0. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-22.
  119. Shuang Wang & Shukuan Zhao & Dong Shao & Hongyu Liu, 2020. "Impact of Government Subsidies on Manufacturing Innovation in China: The Moderating Role of Political Connections and Investor Attention," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
  120. 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).
  121. Xu Gong & Mengjie Li & Keqin Guan & Chuanwang Sun, 2023. "Climate change attention and carbon futures return prediction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1261-1288, September.
  122. 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).
  123. Ronald MacDonald & Xuxin Mao, "undated". "An Alternative way of predicting the putcome of the Scottish Independence Referendum: the information in the Ether," Working Papers 2015_05, Business School - Economics, University of Glasgow.
  124. Cedric Mbanga & Ali F. Darrat & Jung Chul Park, 2019. "Investor sentiment and aggregate stock returns: the role of investor attention," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 397-428, August.
  125. 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.
  126. Oguzhan Cepni, Duc Khuong Nguyen, and Ahmet Sensoy, 2022. "News Media and Attention Spillover across Energy Markets: A Powerful Predictor of Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
  127. 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.
  128. Cheng, Feiyang & Chiao, Chaoshin & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2021. "Does retail investor attention improve stock liquidity? A dynamic perspective," Economic Modelling, Elsevier, vol. 94(C), pages 170-183.
  129. Yin, Libo & Feng, Jiabao, 2019. "Can investors attention on oil markets predict stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 786-800.
  130. Dong, Dayong & Wu, Keke & Fang, Jianchun & Gozgor, Giray & Yan, Cheng, 2022. "Investor attention factors and stock returns: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
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