Background Noise? TV Advertising Affects Real-Time Investor Behavior

Jūra Liaukonytė () and Alminas Zaldokas
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Jūra Liaukonytė: Cornell University, Ithaca, New York 14850

Management Science, 2022, vol. 68, issue 4, 2465-2484

Abstract: Using minute-by-minute TV advertising data covering some 300 firms, 327,000 ads, and $20 billion in ad spending, we study the real-time effects of TV advertising on investors’ searches for online financial information and subsequent trading activity. Our identification strategy exploits the fact that viewers in different U.S. time zones are exposed to the same programming and national advertising at different times, allowing us to control for contemporaneous confounding events. We find that an average TV ad leads to a 3% increase in EDGAR (Electronic Data Gathering, Analysis, and Retrieval) system queries and an 8% increase in Google searches for financial information within 15 minutes of the airing of that ad. These searches translate into larger trading volume on the advertiser’s stock, driven primarily by retail investors. The findings on retail investor ad-induced trading are corroborated with hourly data from Robinhood, a popular retail trading platform. We also show that ads induce searches and trading of companies other than the advertiser, including of close rivals. Altogether, our findings suggest that advertising originally intended for consumers has a nonnegligible effect on financial markets.

Keywords: advertising; limited attention; retail investors; SEC EDGAR; Robinhood (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (8)

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