2018
DOI: 10.1017/s0022109018000947
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Best of the Best: A Comparison of Factor Models

Abstract: We compare major factor models and find that the Stambaugh and Yuan (2016) 4-factor model is the overall winner in the time-series domain. The Hou, Xue, and Zhang (2015) q-factor model takes second place and the Fama and French (2015) 5-factor model and the Barillas and Shanken (2018) 6-factor model jointly take third place. The pairwise cross-sectional R2 and the multiple model comparison tests show that the Hou et al. (2015) q-factor model, the Fama and French (2015) 5-factor and 4-factor models, and the Bar… Show more

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Cited by 42 publications
(20 citation statements)
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References 81 publications
(220 reference statements)
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“…Some studies report the performance of several asset pricing models across a number of metrics. Ahmed et al ( 2019 ) compare ten prominent asset pricing models and find inconclusive results. In their time-series tests, the Stambaugh and Yuan ( 2017 ) 4-factor model emerges as the best performer followed by the q-factor model.…”
Section: Notable Species In the Factor Zoomentioning
confidence: 99%
“…Some studies report the performance of several asset pricing models across a number of metrics. Ahmed et al ( 2019 ) compare ten prominent asset pricing models and find inconclusive results. In their time-series tests, the Stambaugh and Yuan ( 2017 ) 4-factor model emerges as the best performer followed by the q-factor model.…”
Section: Notable Species In the Factor Zoomentioning
confidence: 99%
“…Following empirical literature (e.g., Ahmed et al, 2019;Fama & French, 2015, 2016, 2018Hou et al, 2015Hou et al, , 2017, we run time-series regressions of each set of testing portfolios on factor models, and assess model performance based on several metrics. Specifically, we examine the GRS-statistic of Gibbons et al (1989), which is used to investigate whether the estimated intercepts from time-series regression of testing portfolios on a factor model are jointly zero; the average absolute intercept, Aja i j, which is used to measure the average deviation of a set of testing assets from a given model; the ratio of the average of intercepts' squared sample standard errors to the average squared intercept,…”
Section: Performance Metricsmentioning
confidence: 99%
“…The Q-factor model includes four risk factors [4]. The first is the market factor, which encompasses both macroeconomic and overall market risk premiums.…”
Section: Q-factor Modelmentioning
confidence: 99%