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Pricing Kernel Estimation: A Local Estimating Equation Approach

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  • Cai, Zongwu
  • Ren, Yu
  • Sun, Linman

Abstract

This paper investigates a general semiparametric stochastic discount factor formulation that avoids functional form misspecification. A new semiparametric estimation procedure is proposed which combines orthogonality conditions and local linear fitting to give a semiparametric generalized estimating equation approach. Asymptotic properties of the estimators are established and we explore the empirical usefulness of the proposed approach to value-weighted stock returns.

Suggested Citation

  • Cai, Zongwu & Ren, Yu & Sun, Linman, 2015. "Pricing Kernel Estimation: A Local Estimating Equation Approach," Econometric Theory, Cambridge University Press, vol. 31(3), pages 560-580, June.
  • Handle: RePEc:cup:etheor:v:31:y:2015:i:03:p:560-580_00
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    Cited by:

    1. Escanciano, Juan Carlos & Hoderlein, Stefan & Lewbel, Arthur & Linton, Oliver & Srisuma, Sorawoot, 2021. "Nonparametric Euler Equation Identification And Estimation," Econometric Theory, Cambridge University Press, vol. 37(5), pages 851-891, October.
    2. Bravo, Francesco, 2023. "Local polynomial estimation of nonparametric general estimating equations," Statistics & Probability Letters, Elsevier, vol. 197(C).
    3. Nikolay Gospodinov & Esfandiar Maasoumi, 2017. "General Aggregation of Misspecified Asset Pricing Models," FRB Atlanta Working Paper 2017-10, Federal Reserve Bank of Atlanta.
    4. Gospodinov, Nikolay & Maasoumi, Esfandiar, 2021. "Generalized aggregation of misspecified models: With an application to asset pricing," Journal of Econometrics, Elsevier, vol. 222(1), pages 451-467.

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