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A Synthesis of Two Factor Estimation Methods

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  • Connor, Gregory
  • Korajczyk, Robert A.
  • Uhlaner, Robert T.

Abstract

Two-pass cross-sectional regression (TPCSR) is frequently used in estimating factor risk premia. Recent papers argue that the common practice of grouping assets into portfolios to reduce the errors-in-variables (EIV) problem leads to loss of efficiency and masks potential deviations from asset pricing models. One solution that allows the use of individual assets while overcoming the EIV problem is iterated TPCSR (ITPCSR). ITPCSR converges to a fixed point regardless of the initial factors chosen. ITPCSR is intimately linked to the asymptotic principal components (APC) method of estimating factors since the ITPCSR estimates are the APC estimates, up to a rotation.

Suggested Citation

  • Connor, Gregory & Korajczyk, Robert A. & Uhlaner, Robert T., 2015. "A Synthesis of Two Factor Estimation Methods," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(4), pages 825-842, August.
    • Handle: RePEc:cup:jfinqa:v:50:y:2015:i:04:p:825-842_00
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    Cited by:

    1. Julien Riposo & E G Klepfish, 2023. "Notes on the convergence of the estimated risk factor matrix in linear regression models," Journal of Asset Management, Palgrave Macmillan, vol. 24(2), pages 97-107, March.
    2. Grout, Paul A. & Zalewska, Anna, 2016. "Stock market risk in the financial crisis," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 326-345.
    3. Gregory Connor & Robert A Korajczyk, 2024. "Semi-Strong Factors in Asset Returns," Journal of Financial Econometrics, Oxford University Press, vol. 22(1), pages 70-93.

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