.png){kind=icon}
Return
Comparing Asset Pricing Models
.png){kind=icon}
OA
AI
DOI：10.1111/jofi.12607.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
PORTFOLIO EFFICIENCY
BAYESIAN-APPROACH
FINITE ECONOMY
STOCK-MARKET
SELECTION
PERFORMANCE
ANOMALIES
ARBITRAGE
RETURNS
TESTS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.5
Papers:
4.0K
Citations:
5.0W
Organization
Cited Papers
ShareSaveShareSaveRandom response of symmetric cross-ply composite beams with arbitrary boundary conditions.png)
AIAA Journal
AIAA JournalIF0
PREAI
ShareSave
ShareSaveShareSaveShareSave
View more