G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w29016
来源IDWorking Paper 29016
Pricing Without Mispricing
Jianan Liu; Tobias J. Moskowitz; Robert F. Stambaugh
发表日期2021-07-12
出版年2021
语种英语
摘要We investigate whether various asset pricing models could hold in an efficient market. Assuming decade-old information should be priced correctly, we test whether a model assigns zero alpha to investment strategies that use only such information. The CAPM passes this test, but prominent multifactor models do not. Multifactor betas may help capture expected returns on mispriced stocks, but persistence in those betas distorts the stocks' implied expected returns after prices correct. Such effects are strongest in large-cap stocks, whose multifactor betas are the most persistent. Hence, prominent multifactor models distort expected returns, absent mispricing, for the largest, most liquid stocks.
主题Financial Economics ; Portfolio Selection and Asset Pricing ; Financial Markets ; Behavioral Finance
URLhttps://www.nber.org/papers/w29016
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/586690
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Jianan Liu,Tobias J. Moskowitz,Robert F. Stambaugh. Pricing Without Mispricing. 2021.
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