Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets

Firm size is known to be an important factor affecting stock returns. This study proposes a panel threshold cointegration model to investigate the impact of the size effect on stock returns for the panel of G7 countries: Canada, France, Germany, Italy, Japan, the U.K., and the U.S. over the period 1...

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Main Authors: Apergis, Nicholas, Payne, James
Format: Journal Article
Published: Elsevier BV * North-Holland 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/30356
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author Apergis, Nicholas
Payne, James
author_facet Apergis, Nicholas
Payne, James
author_sort Apergis, Nicholas
building Curtin Institutional Repository
collection Online Access
description Firm size is known to be an important factor affecting stock returns. This study proposes a panel threshold cointegration model to investigate the impact of the size effect on stock returns for the panel of G7 countries: Canada, France, Germany, Italy, Japan, the U.K., and the U.S. over the period 1991:1–2012:12. The empirical analysis is based upon the nonlinear cointegration framework using the asymmetric ARDL cointegration methodology (Shin et al., 2011). This methodological approach permits a much richer degree of flexibility in the dynamic adjustment process toward equilibrium, than in the classical linear model. Our findings indicate the presence of asymmetric adjustment around a unique long-run equilibrium. In particular, the empirical analysis provides evidence of asymmetric effects between stock returns and the size effect, while controlling for the book-tomarket ratio and the price-to-earnings ratio.
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institution Curtin University Malaysia
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publishDate 2013
publisher Elsevier BV * North-Holland
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spelling curtin-20.500.11937-303562017-09-13T15:32:01Z Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets Apergis, Nicholas Payne, James Size effect G7 stock markets Stock returns Panel threshold cointegration Firm size is known to be an important factor affecting stock returns. This study proposes a panel threshold cointegration model to investigate the impact of the size effect on stock returns for the panel of G7 countries: Canada, France, Germany, Italy, Japan, the U.K., and the U.S. over the period 1991:1–2012:12. The empirical analysis is based upon the nonlinear cointegration framework using the asymmetric ARDL cointegration methodology (Shin et al., 2011). This methodological approach permits a much richer degree of flexibility in the dynamic adjustment process toward equilibrium, than in the classical linear model. Our findings indicate the presence of asymmetric adjustment around a unique long-run equilibrium. In particular, the empirical analysis provides evidence of asymmetric effects between stock returns and the size effect, while controlling for the book-tomarket ratio and the price-to-earnings ratio. 2013 Journal Article http://hdl.handle.net/20.500.11937/30356 10.1016/j.rfe.2013.08.003 Elsevier BV * North-Holland restricted
spellingShingle Size effect
G7 stock markets
Stock returns
Panel threshold cointegration
Apergis, Nicholas
Payne, James
Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets
title Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets
title_full Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets
title_fullStr Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets
title_full_unstemmed Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets
title_short Resurrecting the size effect: Evidence from a panel nonlinear cointegration model forthe G7 stock markets
title_sort resurrecting the size effect: evidence from a panel nonlinear cointegration model forthe g7 stock markets
topic Size effect
G7 stock markets
Stock returns
Panel threshold cointegration
url http://hdl.handle.net/20.500.11937/30356