2005
DOI: 10.1007/bf02761559
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Further evidence of the November effect

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Cited by 6 publications
(4 citation statements)
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“…Their results are based on quarterly mutual fund ownership data. Johnston and Paul () point out that the quarterly measurement may miss the November effect. Their results, based on a sample of 1988–1996, indicate that the November effect is limited to the first week of November, and this effect is not driven by any particular year.…”
Section: Introduction and Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Their results are based on quarterly mutual fund ownership data. Johnston and Paul () point out that the quarterly measurement may miss the November effect. Their results, based on a sample of 1988–1996, indicate that the November effect is limited to the first week of November, and this effect is not driven by any particular year.…”
Section: Introduction and Literature Reviewmentioning
confidence: 99%
“…Nevertheless, previous studies report supportive evidence of the November effect only for some small portfolios that meet certain size or mutual fund ownership requirements. For instance, Johnston and Paul's (2005) findings are only applied to portfolios containing up to 75 stocks.…”
Section: Introduction and Literature Reviewmentioning
confidence: 99%
“…Although much rare, such anomalies have been identified in other months as well. For example, some markets have documented anomalies related to the month of November [33][34][35].…”
Section: Calendar Market Anomaliesmentioning
confidence: 99%
“…The intuition behind these studies is that if tax‐loss selling is an important reason for the observed January effect, then similarly, the 1986 TRA should cause a November effect in the stock market. Existing studies provide evidence that a November effect is observed in the post‐TRA period, and this effect is likely to reflect mutual funds' tax‐loss‐selling behaviour (Bhabra et al ., ; Johnston and Paul, ; He and He, ).…”
Section: Prior Research and Hypotheses Developmentmentioning
confidence: 99%