2016
DOI: 10.1108/jrf-02-2016-0026
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An investor’s perspective on risk-models and characteristic-models

Abstract: Purpose In capital markets, research risk factor loadings and characteristics are considered as opposing explanations for the cross-sectional dispersion in average stock returns. However, there is little known about the performance an investor would obtain who believes either in the characteristics explanation (CB-investor) or in the risk factor loadings explanation (RB-investor). The purpose of this paper is to compare the performance of CB- and RB-investors. Design/methodology/approach To compare the compe… Show more

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Cited by 5 publications
(1 citation statement)
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“…The results from Kim (2015) indicate that risk factor models outperform their characteristic-based counterparts. Another approach is taken by Fieberg et al (2016a). They relate various risk and characteristic models to the distribution of portfolio returns but thereby only implicitly relate these models to expected stock returns and the variance-covariance matrix itself.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The results from Kim (2015) indicate that risk factor models outperform their characteristic-based counterparts. Another approach is taken by Fieberg et al (2016a). They relate various risk and characteristic models to the distribution of portfolio returns but thereby only implicitly relate these models to expected stock returns and the variance-covariance matrix itself.…”
Section: Literature Reviewmentioning
confidence: 99%