2010
DOI: 10.1016/j.irfa.2010.10.001
|View full text |Cite
|
Sign up to set email alerts
|

The Halloween effect: Trick or treat?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
37
1
3

Year Published

2014
2014
2020
2020

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 49 publications
(44 citation statements)
references
References 23 publications
3
37
1
3
Order By: Relevance
“…Probably the most prominent of these effects are the Monday effect (see French, 1980;Pettengill, 2003;Keef et al, 2009), where Mondays' returns are much lower than other days of the week, the January effect (see Gultekin and Gultekin, 1983;Keim, 1983;Yao, 2012), where returns are much higher during the month of January than any in other month, and the turn-of-the-month effect (see Ariel, 1987;Kunkel et al, 2003), where returns at the end and at the beginning of a month tend to be higher than on other days. Recent research also considers Halloween effects (see Bouman and Jacobsen, 2002;Haggard and Witte, 2010) and even calendar phases exhibiting certain climate patterns (see Lucey, 2005, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Probably the most prominent of these effects are the Monday effect (see French, 1980;Pettengill, 2003;Keef et al, 2009), where Mondays' returns are much lower than other days of the week, the January effect (see Gultekin and Gultekin, 1983;Keim, 1983;Yao, 2012), where returns are much higher during the month of January than any in other month, and the turn-of-the-month effect (see Ariel, 1987;Kunkel et al, 2003), where returns at the end and at the beginning of a month tend to be higher than on other days. Recent research also considers Halloween effects (see Bouman and Jacobsen, 2002;Haggard and Witte, 2010) and even calendar phases exhibiting certain climate patterns (see Lucey, 2005, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Kamstra, Kramer and Levi (2003) postulated Seasonal Affective Disorder (SAD) as the main reason of Halloween anomaly, their research however was heavily criticized in Kelly, Meschke (2010), Marquering (2008, 2009). Maberly and Pierce (2004) questioned the existence of Halloween effect as caused by outliers in October 1987 and August 1998 but Haggard and Witte (2010) acquire the results using robust estimation technique and confirms significant Halloween anomaly. Jacobsen and others (2005) checked if Halloween effect is dependent on size, book to market or divided yield and conclude that it is not the case.…”
Section: Literature Reviewmentioning
confidence: 97%
“…Based on research Jaisinghani (2016) found that there is strong positive support to the September effect on the stock market in India. Haggard and Witte (2010) found significant results of Halloween effect in America in the period 1954-2008. Research conducted by Oprean & Tanasescu (2014) found that stock trading conducted in the market was influenced by irrational investor behavior in Rome and Brazil.…”
Section: Introductionmentioning
confidence: 93%