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Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate F-Test
Journal article   Open access   Peer reviewed

Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate F-Test

Shafiqur Rahman and Matthew J. Schneider
Review of Pacific basin financial markets and policies, v 22(1), pp 1950001-1-1950001-34
01 Mar 2019
url
https://doi.org/10.1142/s0219091519500012View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open
url
https://doi.org/10.1142/S0219091519500012View
Published, Version of Record (VoR) Open

Abstract

Business & Economics Business, Finance Social Sciences
This paper examines relative performance of alternative asset pricing models using individual security returns. The standard multivariate test used in studies comparing the performance of asset pricing models requires the number of stocks to be less than the number of time series observations, which requires grouping stocks into portfolios. This results in a loss of disaggregate stock information. We apply a different statistical test to overcome this problem and to investigate relative performance of alternative asset pricing models using individual security returns instead of portfolio returns. Our findings suggest that a parsimonious six-factor model that includes the momentum and orthogonal value factors outperforms all other models based on a number of measures as well as the average F-test. Unlike the standard multivariate test, we find that the average F-test has superior power to discriminate among competing models and does not reject all tested models.

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2 citations in Scopus

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Web of Science research areas
Business, Finance
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