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Cited by 455

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Comparing Asset Pricing Models

BARILLAS, FRANCISCO, SHANKEN, JAY·2018·The Journal of Finance

Abstract

A Bayesian asset pricing test is derived that is easily computed in closed form from the standard F‐statistic. Given a set of candidate traded factors, we develop a related test procedure that permits the computation of model probabilities for the collection of all possible pricing models that are based on subsets of the given factors. We find that the recent models of Hou, Xue, and Zhang (2015a, 2015b) and Fama and French (2015, 2016) are dominated by a variety of models that include a momentum factor, along with value and profitability factors that are updated monthly.

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Metadata

Authors
BARILLAS, F., & SHANKEN, J.
Venue
The Journal of Finance
Publisher
Wiley
Published
2018-03-31
Volume
73
Issue
2
Pages
715-754
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W2795848635
Cited by
455
References
51
FWCI
58.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Comparing Asset Pricing Models. https://app.cochat.ai/papers/10.1111/jofi.12607
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BARILLAS, F., & SHANKEN, J. (2018). Comparing Asset Pricing Models. The Journal of Finance. https://doi.org/10.1111/jofi.12607

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.