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Institutional/retail investor active attention and behavior: Firm coverage on Mad Money

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  • Kryzanowski, Lawrence
  • Rouhghalandari, Ali

Abstract

We find that firm coverage on the popular Mad Money Show is significantly associated with institutional and retail investor active attention, proxied by SEC EDGAR queries and posts on StockTwits. The association strengths differ by recommendation directions (buy or sell) and a firm’s exposure on the Show. The associations remain after controlling for selection bias, other firm-specific news, and moderating events (e.g., Superbowl and Olympics). The increased investor active attention is associated subsequently with abnormal trading volumes and short-sales activities of institutional/retail investors, and retail investor portfolios. While the opening price captures most of the significant association between Show coverage and next day’s returns, the extent of subsequent reversals varies by Show segment, recommendation direction and moderators (e.g., firm-coverage frequency on the same Show). No abnormal returns are associated with any pre-Show publicity about upcoming guest interviews. Our findings are consistent with the association of the media and its potential influencers with the limited active attention budgets of investors, different behaviors of retail and institutional investors, and the shorting of contrarian investors.

Suggested Citation

  • Kryzanowski, Lawrence & Rouhghalandari, Ali, 2024. "Institutional/retail investor active attention and behavior: Firm coverage on Mad Money," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
  • Handle: RePEc:eee:beexfi:v:42:y:2024:i:c:s2214635024000522
    DOI: 10.1016/j.jbef.2024.100937
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    1. Florens Focke & Stefan Ruenzi & Michael Ungeheuer, 2020. "Advertising, Attention, and Financial Markets," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4676-4720.
    2. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    3. Joel Peress & Daniel Schmidt, 2020. "Glued to the TV: Distracted Noise Traders and Stock Market Liquidity," Journal of Finance, American Finance Association, vol. 75(2), pages 1083-1133, April.
    4. Liang, Bing, 1999. "Price Pressure: Evidence from the "Dartboard" Column," The Journal of Business, University of Chicago Press, vol. 72(1), pages 119-134, January.
    5. 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.
    6. Guercio, Diane Del & Tkac, Paula A., 2008. "Star Power: The Effect of Monrningstar Ratings on Mutual Fund Flow," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(4), pages 907-936, December.
    7. Bang Dang Nguyen, 2015. "Is More News Good News? Media Coverage of CEOs, Firm Value, and Rent Extraction," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-38, December.
    8. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang & Xinran Zhang, 2021. "Tracking Retail Investor Activity," Journal of Finance, American Finance Association, vol. 76(5), pages 2249-2305, October.
    9. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    10. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    11. Davis, Frederick & Khadivar, Hamed & Walker, Thomas J., 2021. "Institutional trading in firms rumored to be takeover targets," Journal of Corporate Finance, Elsevier, vol. 66(C).
    12. Gutierrez, Jose & Stretcher, Robert, 2015. "Mad Money: Does the combination of stock recommendation and show segment matter?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 6(C), pages 80-92.
    13. Kim, Y. Han (Andy), 2013. "Self attribution bias of the CEO: Evidence from CEO interviews on CNBC," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2472-2489.
    14. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    15. Joseph Engelberg & Caroline Sasseville & Jared Williams, 2012. "Market Madness? The Case of Mad Money," Management Science, INFORMS, vol. 58(2), pages 351-364, February.
    16. Ivo Welch, 2022. "The Wisdom of the Robinhood Crowd," Journal of Finance, American Finance Association, vol. 77(3), pages 1489-1527, June.
    17. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang, 2008. "Which Shorts Are Informed?," Journal of Finance, American Finance Association, vol. 63(2), pages 491-527, April.
    18. Jūra Liaukonytė & Alminas Žaldokas, 2022. "Background Noise? TV Advertising Affects Real-Time Investor Behavior," Management Science, INFORMS, vol. 68(4), pages 2465-2484, April.
    19. Li, Frank Weikai & Sun, Chengzhu, 2022. "Information acquisition and expected returns: Evidence from EDGAR search traffic," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    20. 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.
    21. Hendershott, Terrence & Livdan, Dmitry & Schürhoff, Norman, 2015. "Are institutions informed about news?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 249-287.
    22. Jeffrey Hobbs & Terrill R. Keasler & Chris R. McNeil, 2012. "Short Selling Behavior and Mad Money," The Financial Review, Eastern Finance Association, vol. 47(1), pages 65-89, February.
    23. Hu, Gang & Jo, Koren M. & Wang, Yi Alex & Xie, Jing, 2018. "Institutional trading and Abel Noser data," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 143-167.
    24. Neumann, John J. & Kenny, Peppi M., 2007. "Does Mad Money make the market go mad," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(5), pages 602-615, December.
    25. 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.
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    More about this item

    Keywords

    Institutional/retail investor active attention; Media influencers; Behavioral finance; Trade/holdings/return associations;
    All these keywords.

    JEL classification:

    • G4 - Financial Economics - - Behavioral Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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