Explaining Anomalies in Australia with a Five‐factor Asset Pricing Model

DOIhttp://doi.org/10.1111/irfi.12125
Date01 March 2018
Published date01 March 2018
Explaining Anomalies in Australia
with a Five-factor Asset Pricing
Model*
THANH D. HUYNH
Department of Banking and Finance, Monash Business School, Monash University,
Cauleld East, Victoria, Australia
ABSTRACT
This paper compares the ability of three-factor and ve-factor asset pricing
models to explain the apparent protability of a broad selection of anomalies
in Australian equity returns. Rather than examining the t of each model to
common test portfolios, our focus is on the spread return to longshort
trading strategies designed around so-called anomalies. After documenting
signicant spread returns to 16 anomalies (including several not previously
studied in Australia), the empirical analysis provides cautious support that
the recently-proposed investment and protability factors have a role to play.
The number of anomalies that remains after risk adjustment decreases under
the ve-factor model. Further, while the magnitude of reduction in alpha is
modest, our testing shows that it is statistically signicant in many cases.
However, both three-factor and ve-factor models repeatedly fail the Gibbons,
Ross, and Shankens (1989) (GRS) test, suggesting that the quest for a better
asset pricing model is not yet complete.
The revolutionary search for a replacement paradigm is driven by the failure of the
existing paradigm to solve certain important anomalies. Any replacement paradigm
had better solve the majority of those puzzles, or it will not be worth adopting in place
of the existing paradigm.’–Bird (2013) on the philosophical concept of Thomas
Kuhns paradigm.
I. INTRODUCTION
Over the last half century, the asset pricing literature has progressed in a manner
reminiscent of Kuhns (1970) philosophy of science. While the riskreturn
relation proposed by the capital asset pricing model of Sharpe (1964) and Lintner
(1965) remains a staple of nance texts, its inability to explain prominent
empirical regularities led to the development of the Fama and French (1993)
* I thank Ramazan Gencay (the Editor), an anonymous referee, Daniel Chai and Phil Ghaghori for
insightful comments. I am especially grateful to Phil Gray for reading all the drafts and giving
suggestions that substantially improve this paper. All remaining errors are my own.
© 2017 International Review of Finance Ltd. 2017
International Review of Finance, 2017
DOI: 10.1111/ir.12125
International Review of Finance, 18:1, 2018: pp. 123–135
DOI:10.1111/irfi .12125
© 2017 International Review of Finance Ltd. 2017

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT