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Misspecification and Weak Identification in Asset Pricing

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  • Frank Kleibergen
  • Zhaoguo Zhan

Abstract

The widespread co-existence of misspecification and weak identification in asset pricing has led to an overstated performance of risk factors. Because the conventional Fama and MacBeth (1973) methodology is jeopardized by misspecification and weak identification, we infer risk premia by using a double robust Lagrange multiplier test that remains reliable in the presence of these two empirically relevant issues. Moreover, we show how the identification, and the resulting appropriate interpretation, of the risk premia is governed by the relative magnitudes of the misspecification J-statistic and the identification IS-statistic. We revisit several prominent empirical applications and all specifications with one to six factors from the factor zoo of Feng, Giglio, and Xiu (2020) to emphasize the widespread occurrence of misspecification and weak identification.

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  • Frank Kleibergen & Zhaoguo Zhan, 2022. "Misspecification and Weak Identification in Asset Pricing," Papers 2206.13600, arXiv.org.
    • Handle: RePEc:arx:papers:2206.13600
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    References listed on IDEAS

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    Cited by:

    1. Frank Kleibergen & Lingwei Kong & Zhaoguo Zhan, 2023. "Rejoinder on: Identification Robust Testing of Risk Premia in Finite Samples," Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 311-315.

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