IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v96y2024ipas1057521924005246.html
   My bibliography  Save this article

Can you keep a secret? The dissemination of false rumors and the evolution of bubbles in perceived predatory trading games

Author

Listed:
  • Herzing, Tobias J.
  • Muck, Matthias

Abstract

This research addresses the impact of fake rumors on the evolution of bubbles in stock prices in a perceived predatory trading game. In line with intuition, we find that the development of these bubbles is significantly different from the formation and progression of bubbles based on true rumors. Particularly, the first increase in stock prices may be followed by a crash when the rumor is not true. More volatility is observed when there are many players or when there is a lot of pressure to act on the victim. In contrast, the dissemination of the rumor has a dampening effect on the inflation of the bubble when the rumor is true. Moreover, it is more difficult to detect false rumors from stock prices when there are many predators. This observation makes herding among predators a particular challenging problem for regulators and policymakers.

Suggested Citation

  • Herzing, Tobias J. & Muck, Matthias, 2024. "Can you keep a secret? The dissemination of false rumors and the evolution of bubbles in perceived predatory trading games," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  • Handle: RePEc:eee:finana:v:96:y:2024:i:pa:s1057521924005246
    DOI: 10.1016/j.irfa.2024.103592
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924005246
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2024.103592?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dilip Abreu & Markus K. Brunnermeier, 2003. "Bubbles and Crashes," Econometrica, Econometric Society, vol. 71(1), pages 173-204, January.
    2. Asako, Yasushi & Funaki, Yukihiko & Ueda, Kozo & Uto, Nobuyuki, 2020. "(A)symmetric information bubbles: Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    3. Holthausen, Robert W. & Leftwich, Richard W. & Mayers, David, 1990. "Large-block transactions, the speed of response, and temporary and permanent stock-price effects," Journal of Financial Economics, Elsevier, vol. 26(1), pages 71-95, July.
    4. Ying-Ju Chen & Yves Zenou & Junjie Zhou, 2018. "Multiple Activities in Networks," American Economic Journal: Microeconomics, American Economic Association, vol. 10(3), pages 34-85, August.
    5. Fudenberg, Drew & Levine, David K, 1993. "Self-Confirming Equilibrium," Econometrica, Econometric Society, vol. 61(3), pages 523-545, May.
    6. Brunnermeier, Markus K. & Morgan, John, 2010. "Clock games: Theory and experiments," Games and Economic Behavior, Elsevier, vol. 68(2), pages 532-550, March.
    7. Kobayashi, Teruyoshi & Ogisu, Yoshitaka & Onaga, Tomokatsu, 2023. "Unstable diffusion in social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    8. Ivo Welch, 2022. "The Wisdom of the Robinhood Crowd," Journal of Finance, American Finance Association, vol. 77(3), pages 1489-1527, June.
    9. Umar, Zaghum & Gubareva, Mariya & Yousaf, Imran & Ali, Shoaib, 2021. "A tale of company fundamentals vs sentiment driven pricing: The case of GameStop," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    10. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
    11. Itai Arieli & Yakov Babichenko & Ron Peretz & H. Peyton Young, 2019. "The Speed of Innovation Diffusion in Social Networks," Economics Papers 2019-W07, Economics Group, Nuffield College, University of Oxford.
    12. Madhavan, Ananth & Cheng, Minder, 1997. "In Search of Liquidity: Block Trades in the Upstairs and Downstairs Markets," The Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 175-203.
    13. Chan, Louis K C & Lakonishok, Josef, 1995. "The Behavior of Stock Prices around Institutional Trades," Journal of Finance, American Finance Association, vol. 50(4), pages 1147-1174, September.
    14. H Peyton Young & Itai Arieli & Yakov Babichenko & Ron Peretz, 2019. "The Speed of Innovation Diffusion in Social Networks," Economics Series Working Papers 884, University of Oxford, Department of Economics.
    15. Sophie Moinas & Sebastien Pouget, 2013. "The Bubble Game: An Experimental Study of Speculation," Econometrica, Econometric Society, vol. 81(4), pages 1507-1539, July.
    16. Gur Huberman & Werner Stanzl, 2004. "Price Manipulation and Quasi-Arbitrage," Econometrica, Econometric Society, vol. 72(4), pages 1247-1275, July.
    17. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    18. Aditya Kaul & Vikas Mehrotra & Randall Morck, 2000. "Demand Curves for Stocks Do Slope Down: New Evidence from an Index Weights Adjustment," Journal of Finance, American Finance Association, vol. 55(2), pages 893-912, April.
    19. Meng, Qingbin & Song, Xuan & Liu, Chunlin & Wu, Qun & Zeng, Hongchao, 2020. "The impact of block trades on stock price synchronicity: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 239-253.
    20. Kraus, Alan & Stoll, Hans R, 1972. "Price Impacts of Block Trading on the New York Stock Exchange," Journal of Finance, American Finance Association, vol. 27(3), pages 569-588, June.
    21. Bruce Ian Carlin & Miguel Sousa Lobo & S. Viswanathan, 2007. "Episodic Liquidity Crises: Cooperative and Predatory Trading," Journal of Finance, American Finance Association, vol. 62(5), pages 2235-2274, October.
    22. Daphne Sobolev & James Clunie, 2022. "Predatory trading: ethics judgments, legality judgments and investment intentions," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(3), pages 275-291, May.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Oehmke, Martin, 2014. "Liquidating illiquid collateral," Journal of Economic Theory, Elsevier, vol. 149(C), pages 183-210.
    2. Oehmke, Martin, 2014. "Liquidating illiquid collateral," LSE Research Online Documents on Economics 84518, London School of Economics and Political Science, LSE Library.
    3. David B. Brown & Bruce Ian Carlin & Miguel Sousa Lobo, 2010. "Optimal Portfolio Liquidation with Distress Risk," Management Science, INFORMS, vol. 56(11), pages 1997-2014, November.
    4. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2012. "Sell-order liquidity and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 523-541.
    5. Sun, Yuxin & Ibikunle, Gbenga, 2017. "Informed trading and the price impact of block trades: A high frequency trading analysis," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 114-129.
    6. Dimitri Vayanos & Jiang Wang, 2012. "Market Liquidity -- Theory and Empirical Evidence," NBER Working Papers 18251, National Bureau of Economic Research, Inc.
    7. Asako, Yasushi & Funaki, Yukihiko & Ueda, Kozo & Uto, Nobuyuki, 2020. "(A)symmetric information bubbles: Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    8. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1221-1288, Elsevier.
    9. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    10. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2013, January-A.
    11. Anna Obizhaeva, 2007. "Liquidity Estimates and Selection Bias," Working Papers w0225, Center for Economic and Financial Research (CEFIR).
    12. Agarwalla, Sobhesh Kumar & Pandey, Ajay, 2010. "Price Impact of Block Trades and Price Behavior Surrounding Block Trades in Indian Capital Market," IIMA Working Papers WP2010-04-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    13. Anna Obizhaeva, 2009. "Portfolio Transitions and Stock Price Dynamics," Working Papers w0224, Center for Economic and Financial Research (CEFIR).
    14. Alzahrani, Ahmed A. & Gregoriou, Andros & Hudson, Robert, 2013. "Price impact of block trades in the Saudi stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 322-341.
    15. Berry-Stölzle, Thomas R., 2008. "The impact of illiquidity on the asset management of insurance companies," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 1-14, August.
    16. Frino, Alex & Gallagher, David R. & Oetomo, Teddy N., 2006. "Further analysis of the liquidity and information components of institutional orders: Active versus passive funds," Pacific-Basin Finance Journal, Elsevier, vol. 14(5), pages 439-452, November.
    17. Murgia, Maurizio & Pinna, Andrea & Gottardo, Pietro & Bosetti, Luisella, 2019. "The impact of large orders in electronic markets," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 174-192.
    18. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    19. Anna Obizhaeva, 2007. "Liquidity Estimates and Selection Bias," Working Papers w0225, New Economic School (NES).
    20. Pereira, João Pedro & Zhang, Harold H., 2010. "Stock Returns and the Volatility of Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 1077-1110, August.

    More about this item

    Keywords

    Predatory trading; Stock market bubbles; Rumors;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

    Statistics

    Access and download statistics

    Corrections

    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:finana:v:96:y:2024:i:pa:s1057521924005246. 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: http://www.elsevier.com/locate/inca/620166 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.