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Investor Information Demand: Evidence from Google Searches Around Earnings Announcements

Citations

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Cited by:

  1. Bin Wang & Wonseok Choi & Ibrahim Siraj, 2018. "Local investor attention and post-earnings announcement drift," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 219-252, July.
  2. 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.
  3. Anastassia Fedyk, 2018. "Disagreement after News: Gradual Information Diffusion or Differences of Opinion?," 2018 Meeting Papers 1095, Society for Economic Dynamics.
  4. Artem Meshcheryakov & Stoyu I Ivanov, 2017. "Investor's sentiment in predicting the Effective Federal Funds Rate," Economics Bulletin, AccessEcon, vol. 37(4), pages 2767-2796.
  5. Nian Li & Chunling Li & Runsen Yuan & Muhammad Asif Khan & Xiaoran Sun & Nosherwan Khaliq, 2021. "Investor Attention and Corporate Innovation Performance: Evidence from Web Search Volume Index of Chinese Listed Companies," Mathematics, MDPI, vol. 9(9), pages 1-23, April.
  6. Siganos, Antonios, 2013. "Google attention and target price run ups," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 219-226.
  7. repec:ipg:wpaper:24 is not listed on IDEAS
  8. Jeffrey L. Hoopes & Daniel H. Reck & Joel Slemrod, 2015. "Taxpayer Search for Information: Implications for Rational Attention," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 177-208, August.
  9. Jin, Han & Mazouz, Khelifa & Wu, Yuliang & Xu, Bin, 2023. "Can star analysts make superior coverage decisions in poor information environment?," Journal of Banking & Finance, Elsevier, vol. 146(C).
  10. Thomas D. Shohfi & Roger M. White, 2020. "The dark side of individual blockholder philanthropy," Financial Management, Financial Management Association International, vol. 49(3), pages 741-767, September.
  11. 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).
  12. de Kok, Ties, 2019. "Essays on reporting and information processing," Other publications TiSEM 468fd12b-19c0-4c7b-a33a-6, Tilburg University, School of Economics and Management.
  13. Alina Lerman, 2020. "Individual Investors' Attention to Accounting Information: Evidence from Online Financial Communities," Contemporary Accounting Research, John Wiley & Sons, vol. 37(4), pages 2020-2057, December.
  14. 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.
  15. Hao, Jing & Xiong, Xiong, 2021. "Retail investor attention and firms' idiosyncratic risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 74(C).
  16. Quan Gan & Buhui Qiu, 2021. "The information content of 10‐K file size change," International Review of Finance, International Review of Finance Ltd., vol. 21(4), pages 1251-1285, December.
  17. Kristian D. Allee & Matthew D. Deangelis & James R. Moon, 2018. "Disclosure “Scriptability”," Journal of Accounting Research, Wiley Blackwell, vol. 56(2), pages 363-430, May.
  18. Ahmad H. Juma’h & Yazan Alnsour, 2018. "Using Social Media Analytics: The Effect of President Trump’s Tweets On Companies’ Performance," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 17(1), pages 100-121, March.
  19. Hirshleifer, David & Sheng, Jinfei, 2022. "Macro news and micro news: Complements or substitutes?," Journal of Financial Economics, Elsevier, vol. 145(3), pages 1006-1024.
  20. Tao Chen, 2022. "Are individuals informed in global markets?," Empirical Economics, Springer, vol. 63(1), pages 243-263, July.
  21. Aouadi, Amal & Arouri, Mohamed & Roubaud, David, 2018. "Information demand and stock market liquidity: International evidence," Economic Modelling, Elsevier, vol. 70(C), pages 194-202.
  22. Prashant Das & Alan Ziobrowski, 2015. "The Relationship between Indian Realty Stocks and Online Searches," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(1), pages 1-19, April.
  23. 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.
  24. repec:ipg:wpaper:2013-024 is not listed on IDEAS
  25. Qin Li & Ben Lourie & Alexander Nekrasov & Terry Shevlin, 2022. "Employee Turnover and Firm Performance: Large-Sample Archival Evidence," Management Science, INFORMS, vol. 68(8), pages 5667-5683, August.
  26. Robert Stoumbos, 2023. "The Growth of Information Asymmetry Between Earnings Announcements and Its Implications for Reporting Frequency," Management Science, INFORMS, vol. 69(3), pages 1901-1928, March.
  27. Jaroslav Pavlicek & Ladislav Kristoufek, 2015. "Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.
  28. Umar, Tarik, 2022. "Complexity aversion when SeekingAlpha," Journal of Accounting and Economics, Elsevier, vol. 73(2).
  29. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
  30. 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).
  31. Ballinari, Daniele & Audrino, Francesco & Sigrist, Fabio, 2022. "When does attention matter? The effect of investor attention on stock market volatility around news releases," International Review of Financial Analysis, Elsevier, vol. 82(C).
  32. 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.
  33. 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.
  34. Desagre, Christophe & D’Hondt, Catherine, 2021. "Googlization and retail trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  35. Alan Crane & Kevin Crotty & Tarik Umar, 2023. "Hedge Funds and Public Information Acquisition," Management Science, INFORMS, vol. 69(6), pages 3241-3262, June.
  36. Shen, Dehua & Liu, Lanbiao & Zhang, Yongjie, 2018. "Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 928-934.
  37. Jukka Ruohonen & Sami Hyrynsalmi, 2017. "Evaluating the use of internet search volumes for time series modeling of sales in the video game industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 351-370, November.
  38. Qu, Qixing & Wang, Lin & Qin, Liangjuan & Zhao, Xiaoye & Wang, Lijie, 2017. "The impact of information disclosure on market liquidity: Evidence from firms’ use of Twitter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 644-654.
  39. Vamossy, Domonkos F., 2021. "Investor emotions and earnings announcements," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
  40. 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).
  41. Peter Cziraki & Jordi Mondria & Thomas Wu, 2021. "Asymmetric Attention and Stock Returns," Management Science, INFORMS, vol. 67(1), pages 48-71, January.
  42. Anna Abdulmanova & Stephen P. Ferris & Narayanan Jayaraman & Pratik Kothari, 2021. "The effect of investor attention on fraud discovery and value loss in securities class action litigation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(3), pages 513-552, September.
  43. Joshua Madsen & Marina Niessner, 2019. "Is Investor Attention for Sale? The Role of Advertising in Financial Markets," Journal of Accounting Research, Wiley Blackwell, vol. 57(3), pages 763-795, June.
  44. 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).
  45. Hadhri, Sinda & Ftiti, Zied, 2017. "Stock return predictability in emerging markets: Does the choice of predictors and models matter across countries?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 39-60.
  46. Doron Israeli & Ron Kaniel & Suhas A. Sridharan, 2022. "The Real Side of the High-Volume Return Premium," Management Science, INFORMS, vol. 68(2), pages 1426-1449, February.
  47. 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.
  48. Baur, Dirk G. & Dimpfl, Thomas, 2016. "Googling gold and mining bad news," Resources Policy, Elsevier, vol. 50(C), pages 306-311.
  49. Vicki Wei Tang, 2018. "Wisdom of Crowds: Cross‐Sectional Variation in the Informativeness of Third‐Party‐Generated Product Information on Twitter," Journal of Accounting Research, Wiley Blackwell, vol. 56(3), pages 989-1034, June.
  50. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  51. Chen, Tao, 2020. "Does news affect disagreement in global markets?," Journal of Business Research, Elsevier, vol. 109(C), pages 174-183.
  52. Lohmann, Christian & Möllenhoff, Steffen, 2023. "Dark premonitions: Pre-bankruptcy investor attention and behavior," Journal of Banking & Finance, Elsevier, vol. 151(C).
  53. Chris Florakis & Christodoulos Louca & Roni Michaely & Michael Weber, 2020. "Cybersecurity Risk," Working Papers 2020-178, Becker Friedman Institute for Research In Economics.
  54. Huang, Yin-Siang & Bui, Dien Giau & Lin, Chih-Yung & Robin,, 2022. "The effect of abnormal institutional attention on bank loans," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
  55. Alexander Nekrasov & Siew Hong Teoh & Shijia Wu, 2022. "Visuals and attention to earnings news on twitter," Review of Accounting Studies, Springer, vol. 27(4), pages 1233-1275, December.
  56. Behrendt, Simon & Peter, Franziska J. & Zimmermann, David J., 2020. "An encyclopedia for stock markets? Wikipedia searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 72(C).
  57. 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.
  58. 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).
  59. Beattie, Vivien, 2014. "Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework," The British Accounting Review, Elsevier, vol. 46(2), pages 111-134.
  60. Chen, Tao, 2021. "Informed trading and earnings announcement driven disagreement in global markets," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 43(C).
  61. Chen, Shuo & Ding, Haoyuan & Lin, Shu & Ye, Haichun, 2022. "From past lies to current misconduct: The long shadow of China's Great Leap Forward," Journal of Development Economics, Elsevier, vol. 157(C).
  62. 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.
  63. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and the stock market response to earnings news," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 221-240.
  64. Gang Chu & John W. Goodell & Dehua Shen & Yongjie Zhang, 2022. "Machine learning to establish proxies for investor attention: evidence of improved stock-return prediction," Annals of Operations Research, Springer, vol. 318(1), pages 103-128, November.
  65. 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.
  66. Chu, Gang & Dowling, Michael & Shen, Dehua & Zhang, Yongjie, 2023. "Information demand density matters: Evidence from the post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 86(C).
  67. 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.
  68. Le, Anh & Yin, Xiangkang & Zhao, Jing, 2019. "Informed trading around earnings announcements in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
  69. Tao Chen & Kam C. Chan & Haodong Chang, 2022. "Periodicity of trading activity in foreign exchange markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(2), pages 445-465, June.
  70. Zhang, Ping & Wang, Yiru & Gao, Jieying, 2023. "Going public and innovation: Evidence from the ChiNext stock market," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 586-613.
  71. Ana Brochado, 2016. "Investor attention and Portuguese stock market volatility: We’ll google it for you!," EcoMod2016 9345, EcoMod.
  72. Amal Aouadi & Sylvain Marsat, 2018. "Do ESG Controversies Matter for Firm Value? Evidence from International Data," Journal of Business Ethics, Springer, vol. 151(4), pages 1027-1047, September.
  73. Al Guindy, Mohamed, 2022. "Fear and hope in financial social networks: Evidence from COVID-19," Finance Research Letters, Elsevier, vol. 46(PA).
  74. 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).
  75. Rongcheng Zhu & Qian Li, 2023. "How has the Internet fostered the greening of enterprises in China? The moderating role of governmental transparency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1383-1395, April.
  76. Rilwan Sakariyahu & Mohamed Sherif & Audrey Paterson & Eleni Chatzivgeri, 2021. "Sentiment‐Apt investors and UK sector returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3321-3351, July.
  77. Zeynalov, Ayaz, 2014. "Nowcasting Tourist Arrivals to Prague: Google Econometrics," MPRA Paper 60945, University Library of Munich, Germany.
  78. Zeynalov, Ayaz, 2017. "Forecasting Tourist Arrivals in Prague: Google Econometrics," MPRA Paper 83268, University Library of Munich, Germany.
  79. Ivan Guitart & Manfred Schwaiger & Johanna Eberhardt, 2024. "How and Why Does Corporate Reputation Moderate Mass Media News’ Impact On Market Value?," Post-Print hal-04346339, HAL.
  80. Diaz-Balteiro, L. & Alfranca, O. & Voces, R. & Soliño, M., 2023. "Using google search patterns to explain the demand for wild edible mushrooms," Forest Policy and Economics, Elsevier, vol. 152(C).
  81. Focke, Florens & Ruenzi, Stefan & Ungeheuer, Michael, 2015. "Advertising, Attention, and Financial Markets," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113032, Verein für Socialpolitik / German Economic Association.
  82. Andrey Kudryavtsev, 2020. "Stock Return Dynamics after Analyst Recommendation Revisions," Journal of Risk & Control, Risk Market Journals, vol. 7(1), pages 1-16.
  83. 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.
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  85. Mohamed Arouri & Amal Aouadi & Philippe Foulquier & Frédéric Teulon, 2013. "Can Information Demand Help to Predict Stock Market Liquidity ? Google it !," Working Papers 2013-24, Department of Research, Ipag Business School.
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  87. Feng Dong, 0. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-22.
  88. 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.
  89. Yao, Ting & Zhang, Yue-Jun & Ma, Chao-Qun, 2017. "How does investor attention affect international crude oil prices?," Applied Energy, Elsevier, vol. 205(C), pages 336-344.
  90. Francisca Beer & Fabrice Hervé & Mohamed Zouaoui, 2013. "Is Big Brother Watching Us? Google, Investor Sentiment and the Stock Market," Economics Bulletin, AccessEcon, vol. 33(1), pages 454-466.
  91. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
  92. 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.
  93. Cahill, Daniel & Ho, Choy Yeing (Chloe) & Yang, Joey W., 2022. "The COVID-19 pandemic: How important is face-to-face interaction for information dissemination?," Global Finance Journal, Elsevier, vol. 54(C).
  94. Joshua Madsen, 2017. "Anticipated Earnings Announcements and the Customer–Supplier Anomaly," Journal of Accounting Research, Wiley Blackwell, vol. 55(3), pages 709-741, June.
  95. 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).
  96. Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
  97. Hirofumi Nishi & S. Drew Peabody, 2024. "Under the spotlight: The peer standard in CSR and the role of public attention," The Financial Review, Eastern Finance Association, vol. 59(2), pages 373-390, May.
  98. Preetika Joshi, 2020. "Does Private Country‐by‐Country Reporting Deter Tax Avoidance and Income Shifting? Evidence from BEPS Action Item 13," Journal of Accounting Research, Wiley Blackwell, vol. 58(2), pages 333-381, May.
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  100. Xu, Yongxin & Xuan, Yuhao & Zheng, Gaoping, 2021. "Internet searching and stock price crash risk: Evidence from a quasi-natural experiment," Journal of Financial Economics, Elsevier, vol. 141(1), pages 255-275.
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  102. Reyes, Tomas, 2018. "Limited attention and M&A announcements," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 201-222.
  103. Zhang, Yongjie & Chu, Gang & Shen, Dehua, 2021. "The role of investor attention in predicting stock prices: The long short-term memory networks perspective," Finance Research Letters, Elsevier, vol. 38(C).
  104. 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.
  105. Philippas, Dionisis & Dragomirescu-Gaina, Catalin & Goutte, Stéphane & Nguyen, Duc Khuong, 2021. "Investors’ attention and information losses under market stress," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1112-1127.
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  129. Pennington, Robin R. & Kelton, Andrea Seaton, 2016. "How much is enough? An investigation of nonprofessional investors information search and stopping rule use," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 47-62.
  130. Choi, Sujung & Choi, Woon Youl, 2019. "Effects of limited attention on investors' trading behavior: Evidence from online ranking data," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 273-289.
  131. 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.
  132. 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.
  133. Minjian Ye & Guangzhong Li, 2017. "Internet big data and capital markets: a literature review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-18, December.
  134. 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.
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