Ahmed, Shamim and Bu, Ziwen and Symeonidis, Lazaros and Tsvetanov, Daniel (2023) Which factor model? A systematic return covariation perspective. Journal of International Money and Finance, 136. p. 102865. DOI https://doi.org/10.1016/j.jimonfin.2023.102865
Ahmed, Shamim and Bu, Ziwen and Symeonidis, Lazaros and Tsvetanov, Daniel (2023) Which factor model? A systematic return covariation perspective. Journal of International Money and Finance, 136. p. 102865. DOI https://doi.org/10.1016/j.jimonfin.2023.102865
Ahmed, Shamim and Bu, Ziwen and Symeonidis, Lazaros and Tsvetanov, Daniel (2023) Which factor model? A systematic return covariation perspective. Journal of International Money and Finance, 136. p. 102865. DOI https://doi.org/10.1016/j.jimonfin.2023.102865
Abstract
We examine which factor model best captures systematic return covariation by focusing on the economic implications for portfolio risk control. The pairwise variance equality test and the model confidence set procedure suggest that the Fama and French (2015) five-factor model, the Barillas and Shanken (2018) six-factor model, and the Fama and French (2018) six-factor model are the top performers for the factor model-implied minimum risk portfolios in the out-of-sample. When it comes to the minimum tracking error portfolios, the Barillas and Shanken (2018) six-factor model and the Fama and French (2018) six-factor model are the overall winners in the horse race.
Item Type: | Article |
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Additional Information: | Source info: Journal of International Money and Finance, Forthcoming |
Uncontrolled Keywords: | Asset pricing model; Factor model; Model evaluation; Out-of-sample; Portfolio selection |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Essex Business School |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 02 Jun 2023 15:01 |
Last Modified: | 03 Nov 2024 02:00 |
URI: | http://repository.essex.ac.uk/id/eprint/35457 |
Available files
Filename: Which_Factor_Model.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0