Some searches may not work properly. We apologize for the inconvenience.
My bibliography Save this articleA tale of company fundamentals vs sentiment driven pricing: The case of GameStop
Author
Abstract
Suggested Citation
DOI: 10.1016/j.jbef.2021.100501
Download full text from publisher
References listed on IDEAS
- Jun Pan & Allen M. Poteshman, 2006.
"The Information in Option Volume for Future Stock Prices,"
The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 871-908.
- Jun Pan & Allen Poteshman, 2004. "The Information of Option Volume for Future Stock Prices," NBER Working Papers 10925, National Bureau of Economic Research, Inc.
- Sangram Keshari Jena & Aviral Kumar Tiwari & Amarnath Mitra, 2019. "Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis," Economies, MDPI, vol. 7(1), pages 1-10, March.
- Steve Y. Yang & Sheung Yin Kevin Mo & Anqi Liu, 2015. "Twitter financial community sentiment and its predictive relationship to stock market movement," Quantitative Finance, Taylor & Francis Journals, vol. 15(10), pages 1637-1656, October.
- Umar, Zaghum & Gubareva, Mariya, 2020. "A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
- 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.
- Kuhnen, Camelia M. & Knutson, Brian, 2011.
"The Influence of Affect on Beliefs, Preferences, and Financial Decisions,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(3), pages 605-626, June.
- Kuhnen, Camelia & Knutson, Brian, 2008. "The Influence of Affect on Beliefs, Preferences and Financial Decisions," MPRA Paper 10410, University Library of Munich, Germany.
- Lauren Cohen & Karl B. Diether & Christopher J. Malloy, 2007.
"Supply and Demand Shifts in the Shorting Market,"
Journal of Finance, American Finance Association, vol. 62(5), pages 2061-2096, October.
- Cohen, Lauren & Diether, Karl B. & Malloy, Christopher J., 2005. "Supply and Demand Shifts in the Shorting Market," Working Paper Series 2005-8, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Rua, António & Nunes, Luís C., 2009.
"International comovement of stock market returns: A wavelet analysis,"
Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
- António Rua & Luís Catela Nunes, 2009. "International comovement of stock market returns: a wavelet analysis," Working Papers w200904, Banco de Portugal, Economics and Research Department.
- Goodell, John W. & Goutte, Stephane, 2021.
"Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis,"
Finance Research Letters, Elsevier, vol. 38(C).
- John W Goodell & Stéphane Goutte, 2020. "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Working Papers halshs-02613277, HAL.
- Kraaijeveld, Olivier & De Smedt, Johannes, 2020. "The predictive power of public Twitter sentiment for forecasting cryptocurrency prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
- Zaremba, Adam & Umar, Zaghum & Mikutowski, Mateusz, 2019. "Inflation hedging with commodities: A wavelet analysis of seven centuries worth of data," Economics Letters, Elsevier, vol. 181(C), pages 90-94.
- 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.
- Ekkehart Boehmer & Juan (Julie) Wu, 2013. "Short Selling and the Price Discovery Process," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 287-322.
- Spierdijk, Laura & Umar, Zaghum, 2014. "Stocks for the long run? Evidence from emerging markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 217-238.
- Gambetti, Elisa & Giusberti, Fiorella, 2012. "The effect of anger and anxiety traits on investment decisions," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1059-1069.
- 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.
- 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.
- Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of Twitter sentiment on renewable energy stocks," Energy Economics, Elsevier, vol. 76(C), pages 153-169.
- Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Aysan, Ahmet Faruk & Caporin, Massimiliano & Cepni, Oguzhan, 2024. "Not all words are equal: Sentiment and jumps in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
- Daniele Ballinari & Simon Behrendt, 2021. "How to gauge investor behavior? A comparison of online investor sentiment measures," Digital Finance, Springer, vol. 3(2), pages 169-204, June.
- John Garcia, 2021. "Analyst herding and firm-level investor sentiment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 461-494, December.
- Bennett, Donyetta & Mekelburg, Erik & Strauss, Jack & Williams, T.H., 2024. "Unlocking the black box of sentiment and cryptocurrency: What, which, why, when and how?," Global Finance Journal, Elsevier, vol. 60(C).
- Umar, Zaghum & Yousaf, Imran & Zaremba, Adam, 2021. "Comovements between heavily shorted stocks during a market squeeze: Lessons from the GameStop trading frenzy," Research in International Business and Finance, Elsevier, vol. 58(C).
- Umar, Zaghum & Gubareva, Mariya, 2021. "Faith-based investments and the Covid-19 pandemic: Analyzing equity volatility and media coverage time-frequency relations," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
- Ganggang Guo & Yulei Rao & Feida Zhu & Fang Xu, 2020. "Innovative deep matching algorithm for stock portfolio selection using deep stock profiles," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-31, November.
- 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.
- 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.
- Rui Fan & Oleksandr Talavera & Vu Tran, 2018. "Social media bots and stock markets," Working Papers 2018-30, Swansea University, School of Management.
- Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).
- Niculaescu, Corina E. & Sangiorgi, Ivan & Bell, Adrian R., 2023. "Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors," International Review of Financial Analysis, Elsevier, vol. 88(C).
- André Betzer & Jan Philipp Harries, 2022. "How online discussion board activity affects stock trading: the case of GameStop," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 443-472, December.
- Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2022.
"Media-expressed tone, option characteristics, and stock return predictability,"
Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
- Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2019. "Media-expressed tone, Option Characteristics, and Stock Return Predictability," IRTG 1792 Discussion Papers 2019-015, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Marlene Amstad & Leonardo Gambacorta & Chao He & Dora Xia, 2021.
"Trade sentiment and the stock market: new evidence based on big data textual analysis of Chinese media,"
BIS Working Papers
917, Bank for International Settlements.
- Gambacorta, Leonardo & Amstad, Marlene & He, Chao & XIA, Fan Dora, 2021. "Trade sentiment and the stock market: new evidence based on big data textual analysis of Chinese media," CEPR Discussion Papers 15682, C.E.P.R. Discussion Papers.
- Béatrice BOULU-RESHEF & Catherine BRUNEAU & Maxime NICOLAS & Thomas RENAULT, 2022.
"An Experimental Analysis of Investor Sentiment,"
LEO Working Papers / DR LEO
2940, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Béatrice Boulu-Reshef & Catherine Bruneau & Maxime Nicolas & Thomas Renault, 2023. "An Experimental Analysis of Investor Sentiment," Post-Print hal-04222561, HAL.
- Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016.
"Media-expressed negative tone and firm-level stock returns,"
Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
- Khurshid Ahmad & JingGuang Han & Elaine Hutson & Colm Kearney & Sha Liu, 2016. "Media-expressed negative tone and firm-level stock returns," Open Access publications 10197/8208, Research Repository, University College Dublin.
- Obaid, Khaled & Pukthuanthong, Kuntara, 2022. "A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news," Journal of Financial Economics, Elsevier, vol. 144(1), pages 273-297.
- Sun, Licheng & Najand, Mohammad & Shen, Jiancheng, 2016. "Stock return predictability and investor sentiment: A high-frequency perspective," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 147-164.
- Domonkos F. Vamossy, 2024. "Social Media Emotions and Market Behavior," Papers 2404.03792, arXiv.org.
- Yue-Jun Zhang & Shu-Hui Li, 2019. "The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1357-1371, August.
More about this item
Keywords
Reddit investors; Wallstreetbets; GameStop; Short squeeze; Investors sentiments; Twitter publication count; News publication count; Put–call ratio;All these keywords.
JEL classification:
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- 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
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
- G40 - Financial Economics - - Behavioral Finance - - - General
- G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:beexfi:v:30:y:2021:i:c:s2214635021000459. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.