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A tale of company fundamentals vs sentiment driven pricing: The case of GameStop

Citations

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Cited by:

  1. Xu, Shen & Yin, Bichao & Lou, Chunjie, 2022. "Minority shareholder activism and corporate social responsibility," Economic Modelling, Elsevier, vol. 116(C).
  2. Tolga Buz & Gerard de Melo, 2021. "Should You Take Investment Advice From WallStreetBets? A Data-Driven Approach," Papers 2105.02728, arXiv.org.
  3. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
  4. Bao, Te & Ma, Mengzhong & Wen, Yonggang, 2023. "Herding in the non-fungible token (NFT) market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
  5. Boris Andreev & Georgios Sermpinis & Charalampos Stasinakis, 2022. "Modelling Financial Markets during Times of Extreme Volatility: Evidence from the GameStop Short Squeeze," Forecasting, MDPI, vol. 4(3), pages 1-20, July.
  6. Faisal Abbas & Shoaib Ali & Imran Yousaf & Wing-Keung Wong, 2021. "Dynamics of Funding Liquidity and Risk-Taking: Evidence from Commercial Banks," JRFM, MDPI, vol. 14(6), pages 1-16, June.
  7. Corbet, Shaen & Goodell, John W., 2022. "The reputational contagion effects of ransomware attacks," Finance Research Letters, Elsevier, vol. 47(PB).
  8. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "The connectedness between meme tokens, meme stocks, and other asset classes: Evidence from a quantile connectedness approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
  9. Yousaf, Imran, 2021. "Risk transmission from the COVID-19 to metals and energy markets," Resources Policy, Elsevier, vol. 73(C).
  10. Hasso, Tim & Müller, Daniel & Pelster, Matthias & Warkulat, Sonja, 2022. "Who participated in the GameStop frenzy? Evidence from brokerage accounts," Finance Research Letters, Elsevier, vol. 45(C).
  11. 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.
  12. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Vo, Xuan Vinh, 2023. "Are short stocks susceptible to geopolitical shocks? Time-Frequency evidence from the Russian-Ukrainian conflict," Finance Research Letters, Elsevier, vol. 52(C).
  13. Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "On the “mementum” of meme stocks," Economics Letters, Elsevier, vol. 207(C).
  14. Tolga Buz & Gerard de Melo, 2022. "Democratization of Retail Trading: Can Reddit's WallStreetBets Outperform Investment Bank Analysts?," Papers 2301.00170, arXiv.org.
  15. Jimmy E. Hilliard & Jitka Hilliard, 2023. "The GameStop short squeeze: Put–call parity and the effect of frictions before, during and after the squeeze," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(5), pages 635-661, May.
  16. Umar, Zaghum & Adekoya, Oluwasegun Babatunde & Oliyide, Johnson Ayobami & Gubareva, Mariya, 2021. "Media sentiment and short stocks performance during a systemic crisis," International Review of Financial Analysis, Elsevier, vol. 78(C).
  17. Kwansoo Kim & Sang-Yong Tom Lee & Robert J. Kauffman, 2023. "Social informedness and investor sentiment in the GameStop short squeeze," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-24, December.
  18. Suwan (Cheng) Long & Brian Lucey & Ying Xie & Larisa Yarovaya, 2023. "“I just like the stock”: The role of Reddit sentiment in the GameStop share rally," The Financial Review, Eastern Finance Association, vol. 58(1), pages 19-37, February.
  19. Ilaria Gianstefani & Luigi Longo & Massimo Riccaboni, 2022. "The echo chamber effect resounds on financial markets: a social media alert system for meme stocks," Papers 2203.13790, arXiv.org.
  20. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "The differential influence of social media sentiment on cryptocurrency returns and volatility during COVID-19," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 307-317.
  21. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara & Tran, Dang K., 2022. "Covid-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 47(PB).
  22. Agyei, Samuel Kwaku & Umar, Zaghum & Bossman, Ahmed & Teplova, Tamara, 2023. "Dynamic connectedness between global commodity sectors, news sentiment, and sub-Saharan African equities," Emerging Markets Review, Elsevier, vol. 56(C).
  23. Cam-Duc Au & Lars Klingenberger & Martin Svoboda & Eric Frère, 2021. "Business Model of Sustainable Robo-Advisors: Empirical Insights for Practical Implementation," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
  24. Li, Shi, 2022. "Spillovers between Bitcoin and Meme stocks," Finance Research Letters, Elsevier, vol. 50(C).
  25. Nobanee, Haitham & Ellili, Nejla Ould Daoud, 2023. "What do we know about meme stocks? A bibliometric and systematic review, current streams, developments, and directions for future research," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 589-602.
  26. Umar, Zaghum & Jareño, Francisco & González, María de la O, 2021. "The impact of COVID-19-related media coverage on the return and volatility connectedness of cryptocurrencies and fiat currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  27. 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).
  28. Khan, Muhammad Asif & Khan, Farhad & Sharif, Arshian & Suleman, Muhammad Tahir, 2023. "Dynamic linkages between Islamic equity indices, oil prices, gold prices, and news-based uncertainty: New insights from partial and multiple wavelet coherence," Resources Policy, Elsevier, vol. 80(C).
  29. Daniel Pastorek & Michal Drabek & Peter Albrecht, 2023. "Confirmation of T+35 Failures-To-Deliver Cycles: Evidence from GameStop Corp," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 73(1), pages 56-80, January.
  30. Li-Chen Cheng & Wei-Ting Lu & Benjamin Yeo, 2023. "Predicting abnormal trading behavior from internet rumor propagation: a machine learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
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