1987
DOI: 10.1111/j.1475-6803.1987.tb00477.x
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An Examination of the Small‐firm Effect on the Basis of Skewness Preference

Abstract: This paper tests the hypothesis that the small‐firm effect can be explained on the basis of investor preference for positive skewness. Traditional stochastic dominance methodology is extended to consider portfolios including variable weights of investment in a riskless asset. Including a riskless asset provides the result that small‐firm portfolios stochastically dominate all other portfolios. This result, which is derived on the basis of 19 years of monthly returns, indicates that the small‐firm effect cannot… Show more

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Cited by 18 publications
(10 citation statements)
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References 23 publications
(24 reference statements)
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“…The lower bounds and low tail of a distribution can have a critical effect on stochastic dominance tests, as demonstrated by Booth and Smith [1]. It may be observed, first, that a single highly negative outlier (such as that which occurred on October 19, 1987) is sufficient to prevent dominance by a sample distribution that is everywhere else dominant.…”
Section: Stochastic Dominance Research Methods and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The lower bounds and low tail of a distribution can have a critical effect on stochastic dominance tests, as demonstrated by Booth and Smith [1]. It may be observed, first, that a single highly negative outlier (such as that which occurred on October 19, 1987) is sufficient to prevent dominance by a sample distribution that is everywhere else dominant.…”
Section: Stochastic Dominance Research Methods and Resultsmentioning
confidence: 99%
“…The results reported in Table 1 are robust even when the lowest 50 percent of the returns are dropped. The Booth and Smith [1] risk‐free rate adjustment of the lower bounds also is used to check the sensitivity of results. The same patterns result from the stochastic dominance tests.…”
Section: Stochastic Dominance Research Methods and Resultsmentioning
confidence: 99%
“…A company's equity risk profile could be influenced by its size. For example, the share prices of corporations with a large market capitalization tend to be less volatile (i.e., they have a low equity risk profile) than the share prices of companies with relatively little market capitalization value (e.g., Booth & Smith, 1987;Fabozzi, Garlicki, Ghosh, & Kislowski, 1986). Large companies may also have relatively fewer investment opportunities than small companies, because they are normally mature organizations (Bai et al, 2004;Smith, Guthrie, & Chen, 1989).…”
Section: Control Variablesmentioning
confidence: 98%
“…The results reported in Table 1 are robust even when the lowest 50 percent of the returns are dropped. The Booth and Smith [1] riskfree rate adjustment of the lower bounds also is used to check the sensitivity of results. The same patterns result from the stochastic dominance tests.…”
Section: Stochastic Dominance Research Methods and Resultsmentioning
confidence: 99%