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Pricing Without Mispricing

Author

Listed:
  • Jianan Liu
  • Tobias J. Moskowitz
  • Robert F. Stambaugh

Abstract

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.

Suggested Citation

  • Jianan Liu & Tobias J. Moskowitz & Robert F. Stambaugh, 2021. "Pricing Without Mispricing," NBER Working Papers 29016, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29016
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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G40 - Financial Economics - - Behavioral Finance - - - General

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