Social media bots and stock markets
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- Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media bots and stock markets," European Financial Management, European Financial Management Association, vol. 26(3), pages 753-777, June.
References listed on IDEAS
- Gorodnichenko, Yuriy & Pham, Tho & Talavera, Oleksandr, 2021.
"Social media, sentiment and public opinions: Evidence from #Brexit and #USElection,"
European Economic Review, Elsevier, vol. 136(C).
- Yuriy Gorodnichenko & Tho Pham & Oleksandr Talavera, 2018. "Social Media, Sentiment and Public Opinions: Evidence from #Brexit and #USElection," NBER Working Papers 24631, National Bureau of Economic Research, Inc.
- Yuriy Gorodnichenko & Tho Pham & Oleksandr Talavera, 2018. "Social media, sentiment and public opinions: Evidence from #Brexit and #USElection," Working Papers 2018-01, Swansea University, School of Management.
- Asger Lunde & Peter R. Hansen, 2005.
"A forecast comparison of volatility models: does anything beat a GARCH(1,1)?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
- Asger Lunde & Peter Reinhard Hansen, 2001. "A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?," Working Papers 2001-04, Brown University, Department of Economics.
- Pritamani, Mahesh & Singal, Vijay, 2001. "Return predictability following large price changes and information releases," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 631-656, April.
- Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
- Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
- Ruben Enikolopov & Maria Petrova & Konstantin Sonin, 2018.
"Social Media and Corruption,"
American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 150-174, January.
- Sonin, Konstantin & Enikolopov, Ruben & Petrova, Maria, 2016. "Social Media and Corruption," CEPR Discussion Papers 11263, C.E.P.R. Discussion Papers.
- Unknown, 2014. "Media Coverage 2014," 2014: Ethics, Efficiency and Food Security: Feeding the 9 Billion, Well, 26-28 August 2014 225573, Crawford Fund.
- Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
- Renault, Thomas, 2017.
"Intraday online investor sentiment and return patterns in the U.S. stock market,"
Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
- Thomas Renault, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Post-Print hal-03205113, HAL.
- Mitchell, Mark L & Mulherin, J Harold, 1994. "The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
- De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990.
"Noise Trader Risk in Financial Markets,"
Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
- J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, "undated". "Noise Trader Risk in Financial Markets," J. Bradford De Long's Working Papers _124, University of California at Berkeley, Economics Department.
- De Long, J. Bradford & Shleifer, Andrei & Summers, Lawrence H. & Waldmann, Robert J., 1990. "Noise Trader Risk in Financial Markets," Scholarly Articles 3725552, Harvard University Department of Economics.
- Solomon, David H. & Soltes, Eugene & Sosyura, Denis, 2014. "Winners in the spotlight: Media coverage of fund holdings as a driver of flows," Journal of Financial Economics, Elsevier, vol. 113(1), pages 53-72.
- Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
- Brian J. Bushee & John E. Core & Wayne Guay & Sophia J.W. Hamm, 2010. "The Role of the Business Press as an Information Intermediary," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 1-19, March.
- Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003.
"Persuasion Bias, Social Influence, and Unidimensional Opinions,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 909-968.
- Zwiebel, Jeffrey H. & Vayanos, Dimitri & DeMarzo, Peter M., 2001. "Persuasion Bias, Social Influence, and Uni-Dimensional Opinions," Research Papers 1719, Stanford University, Graduate School of Business.
- DeMarzo, Peter M. & Vayanos, Dimitri & Zwiebel, Jeffrey, 2003. "Persuasion bias, social influence, and uni-dimensional opinions," LSE Research Online Documents on Economics 454, London School of Economics and Political Science, LSE Library.
- Danthine, Jean-Pierre & Moresi, Serge, 1993.
"Volatility, information and noise trading,"
European Economic Review, Elsevier, vol. 37(5), pages 961-982, June.
- Jean-Pierre Danthine & Serge Moresi, 1990. "Volatility, Information and Noise Trading," CEPR Financial Markets Paper 0010, European Science Foundation Network in Financial Markets, c/o C.E.P.R, 33 Great Sutton Street, London EC1V 0DX..
- Jean-Pierre DANTHINE & Serge MORESI, 1990. "Volatility, Information, and Noise Trading," Cahiers de Recherches Economiques du Département d'économie 9015, Université de Lausanne, Faculté des HEC, Département d’économie.
- Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
- Gabriele Ranco & Darko Aleksovski & Guido Caldarelli & Miha Grčar & Igor Mozetič, 2015. "The Effects of Twitter Sentiment on Stock Price Returns," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
- Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2005. "Thy Neighbor's Portfolio: Word‐of‐Mouth Effects in the Holdings and Trades of Money Managers," Journal of Finance, American Finance Association, vol. 60(6), pages 2801-2824, December.
- Groß-Klußmann, Axel & Hautsch, Nikolaus, 2011. "When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 321-340, March.
- Behrendt, Simon & Schmidt, Alexander, 2018. "The Twitter myth revisited: Intraday investor sentiment, Twitter activity and individual-level stock return volatility," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 355-367.
- Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
- Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
- Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993.
"On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks,"
Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
- Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis.
- Joseph E. Engelberg & Christopher A. Parsons, 2011. "The Causal Impact of Media in Financial Markets," Journal of Finance, American Finance Association, vol. 66(1), pages 67-97, February.
- 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.
- Dimpfl, Thomas & Jank, Stephan, 2011. "Can Internet search queries help to predict stock market volatility?," University of Tübingen Working Papers in Business and Economics 18, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
- Dimpfl, Thomas & Jank, Stephan, 2011. "Can internet search queries help to predict stock market volatility?," CFR Working Papers 11-15, University of Cologne, Centre for Financial Research (CFR).
- Paul C. Tetlock, 2010. "Does Public Financial News Resolve Asymmetric Information?," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3520-3557.
- Timm O. Sprenger & Andranik Tumasjan & Philipp G. Sandner & Isabell M. Welpe, 2014. "Tweets and Trades: the Information Content of Stock Microblogs," European Financial Management, European Financial Management Association, vol. 20(5), pages 926-957, November.
- Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
- Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
- repec:swn:wpaper:2018-01 is not listed on IDEAS
- Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
- Paul Ryan & Richard J. Taffler, 2004. "Are Economically Significant Stock Returns and Trading Volumes Driven by Firm‐specific News Releases?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1‐2), pages 49-82, January.
- Paul Ryan & Richard J. Taffler, 2004. "Are Economically Significant Stock Returns and Trading Volumes Driven by Firm-specific News Releases?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1-2), pages 49-82.
- Pontiff, Jeffrey, 2006. "Costly arbitrage and the myth of idiosyncratic risk," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 35-52, October.
- Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
- Timm O. Sprenger & Philipp G. Sandner & Andranik Tumasjan & Isabell M. Welpe, 2014. "News or Noise? Using Twitter to Identify and Understand Company-specific News Flow," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(7-8), pages 791-830, September.
- repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
- Stefanie Haustein & Timothy D. Bowman & Kim Holmberg & Andrew Tsou & Cassidy R. Sugimoto & Vincent Larivière, 2016. "Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 232-238, January.
- Bonaparte, Yosef & Kumar, Alok, 2013. "Political activism, information costs, and stock market participation," Journal of Financial Economics, Elsevier, vol. 107(3), pages 760-786.
- Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
- A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
- Riordan, Ryan & Storkenmaier, Andreas & Wagener, Martin & Sarah Zhang, S., 2013. "Public information arrival: Price discovery and liquidity in electronic limit order markets," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1148-1159.
- Casey Dougal & Joseph Engelberg & Diego García & Christopher A. Parsons, 2012. "Journalists and the Stock Market," The Review of Financial Studies, Society for Financial Studies, vol. 25(3), pages 639-679.
- Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
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As found by EconAcademics.org, the blog aggregator for Economics research:- What moves markets more, Twitter or traditional news?
by ? in EUROPP European Politics and Policy on 2018-12-08 07:29:35
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Cited by:
- Fan, Rui & Talavera, Oleksandr & Tran, Vu, 2023.
"Information flows and the law of one price,"
International Review of Financial Analysis, Elsevier, vol. 85(C).
- Rui Fan & Oleksandr Talavera & Vu Tran, 2022. "Information flows and the law of one price," Discussion Papers 22-05, Department of Economics, University of Birmingham.
- Kai-Cheng Yang & Emilio Ferrara & Filippo Menczer, 2022. "Botometer 101: social bot practicum for computational social scientists," Journal of Computational Social Science, Springer, vol. 5(2), pages 1511-1528, November.
- Qing Liu & Hosung Son, 2024. "Methods for aggregating investor sentiment from social media," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
- Menghan Zhang & Xue Qi & Ze Chen & Jun Liu, 2022. "Social Bots’ Involvement in the COVID-19 Vaccine Discussions on Twitter," IJERPH, MDPI, vol. 19(3), pages 1-14, January.
- Zhang, Yaozeng & Ma, Jing & Fang, Fanshu, 2024. "How social bots can influence public opinion more effectively: Right connection strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
- Nguyen, Phuc Lam Thy & Alsakka, Rasha & Mantovan, Noemi, 2023. "Political preferences and stock markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Costas Milas & Theodore Panagiotidis & Theologos Dergiades, 2021.
"Does It Matter Where You Search? Twitter versus Traditional News Media,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(7), pages 1757-1795, October.
- Costas Milas & Theodore Panagiotidis & Theologos Dergiades, 2021. "Does it Matter where you Search? Twitter versus Traditional News Media," Discussion Paper Series 2021_04, Department of Economics, University of Macedonia, revised Feb 2021.
- Liang, Qi & Sun, Wenjia & Li, Wenyu & Yu, Fengyan, 2021. "Media effects matter: Macroeconomic announcements in the gold futures market," Economic Modelling, Elsevier, vol. 96(C), pages 1-12.
- Costas Milas & Theodore Panagiotidis & Theologos Dergiades, 2018. "Twitter versus Traditional News Media: Evidence for the Sovereign Bond Markets," Working Paper series 18-42, Rimini Centre for Economic Analysis.
- Ashwin, Julian, 2024. "Financial news media and volatility: Is there more to newspapers than news?," Journal of Financial Markets, Elsevier, vol. 69(C).
- Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
- Dosumu, Oluwatoyin Esther & Sakariyahu, Rilwan & Oyekola, Olayinka & Lawal, Rodiat, 2023. "Panic bank runs, global market contagion and the financial consequences of social media," Economics Letters, Elsevier, vol. 228(C).
- Rui Fan & Oleksandr Talavera & Vu Tran, 2023.
"Social media and price discovery: The case of cross‐listed firms,"
Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 151-167, February.
- Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media and price discovery: the case of cross-listed firms," Discussion Papers 20-05, Department of Economics, University of Birmingham.
- Qing Liu & Hosung Son, 2024. "Data selection and collection for constructing investor sentiment from social media," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
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More about this item
Keywords
Social media bots; investor sentiments; noise traders; text classification; computational linguistics;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CFN-2018-04-02 (Corporate Finance)
- NEP-CMP-2018-04-02 (Computational Economics)
- NEP-FMK-2018-04-02 (Financial Markets)
- NEP-ICT-2018-04-02 (Information and Communication Technologies)
- NEP-MST-2018-04-02 (Market Microstructure)
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