2008
DOI: 10.1007/s12197-008-9033-7
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Mad Money stock recommendations: market reaction and performance

Abstract: Stock Recommendations, Mad Money , Price Pressure, Abnormal Returns, G11, G14,

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Cited by 38 publications
(27 citation statements)
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“…Theoretical foundation of such a pattern (overreaction on private information followed by a correction) is presented in Daniel et al (1998) and Aggarwal and Wu (2006). Our findings are also consistent with prior studies such as Neumann and Kenny (2007) and Keasler and McNeil (2010) that document a significant stock price drop after media hype. We also find that a higher disagreement among posters on day t predicts a price drop on the next day (β=−0.155, t ‐stat =−2.37).…”
Section: Short‐term Effects Of Online Posting Activities On Tradinsupporting
confidence: 89%
“…Theoretical foundation of such a pattern (overreaction on private information followed by a correction) is presented in Daniel et al (1998) and Aggarwal and Wu (2006). Our findings are also consistent with prior studies such as Neumann and Kenny (2007) and Keasler and McNeil (2010) that document a significant stock price drop after media hype. We also find that a higher disagreement among posters on day t predicts a price drop on the next day (β=−0.155, t ‐stat =−2.37).…”
Section: Short‐term Effects Of Online Posting Activities On Tradinsupporting
confidence: 89%
“…Regarding televised media, Engelberg et al (2012) show that CNBC's "Mad Money" announcements lead to large overnight returns that reverse themselves in the coming months, which is consistent with the general observations of Fama (1998). Keasler and McNeil (2010), in an event study, find no significant, long-term, market-beating impact from watching "Mad Money," especially during the "Lightening Round." This finding aligns with that of a study by Pari (1987) about stock recommendations announced on the (late) Louis Rukeyser's "Wall $treet Week."…”
Section: Introductionsupporting
confidence: 76%
“…Existing research indicates that increased turnover could reflect an increase in information asymmetry (Kim and Verecchia, 1991, 1994; He and Wang, 1995) or an increase in the heterogeneity of beliefs (Scheinkman and Xiong, 2004). One way to assess whether the increased turnover results from traders that market makers feel are uninformed noise traders is to look at bid‐ask spreads (Keasler and McNeil, 2010). For our sample, relative bid‐ask spreads average 28 basis points on t = 0 and t + 1.…”
Section: Buy Recommendation Announcement Effectsmentioning
confidence: 99%