2003
DOI: 10.2139/ssrn.426080
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Seasonality in Outliers of Daily Stock Returns: A Tail that Wags the Dog?

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Cited by 10 publications
(12 citation statements)
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“…Maberly and Pierce (2003) also examine the impact of outliers on the Halloween effect in Japanese equity markets. Galai, Kedar-Levy, and Schreiber (2008) also posit a relation between the Halloween effect and outliers. In contrast to the results of Maberly and Pierce (2004), Galai et al (2008) find that, in daily S&P 500 returns, the Halloween effect is significant only after controlling for outliers.…”
Section: Literature Reviewmentioning
confidence: 92%
See 1 more Smart Citation
“…Maberly and Pierce (2003) also examine the impact of outliers on the Halloween effect in Japanese equity markets. Galai, Kedar-Levy, and Schreiber (2008) also posit a relation between the Halloween effect and outliers. In contrast to the results of Maberly and Pierce (2004), Galai et al (2008) find that, in daily S&P 500 returns, the Halloween effect is significant only after controlling for outliers.…”
Section: Literature Reviewmentioning
confidence: 92%
“…Galai, Kedar-Levy, and Schreiber (2008) also posit a relation between the Halloween effect and outliers. In contrast to the results of Maberly and Pierce (2004), Galai et al (2008) find that, in daily S&P 500 returns, the Halloween effect is significant only after controlling for outliers. This difference in findings might be due to analyzing daily returns versus monthly, the different time period analyzed (1980-2002 versus 1970-1998), or even the dropping of return observations from the sample.…”
Section: Literature Reviewmentioning
confidence: 92%
“…Galai et al (2008) argue that most of the traditional Monday effect is driven by extreme values in the data. When they examine S&P 500 index returns controlling for outliers, the Monday effect turns positive and significant.…”
Section: Post-2003 Workmentioning
confidence: 99%
“…For example, Kim, Kim, and Ergun (2015) remove the top two outliers on opposite sides of the distribution and conclude that the distortions outliers cause can be large. Galai, Kedar-Levy, and Schreiber (2008) note that a relatively small number of daily return outliers, namely, 2.03% of the sample, severely affects the empirical estimation. To control for the effect of outliers, any observations of a credit rating change announcement accompanied by other news or events related to the company are excluded.…”
Section: Methodsmentioning
confidence: 99%