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Consistent Estimation of Pricing Kernels from Noisy Price Data

Author

Listed:
  • Vladislav Kargin

    (Cornerstone Research)

Abstract
If pricing kernels are assumed non-negative then the inverse problem of finding the pricing kernel is well-posed. The constrained least squares method provides a consistent estimate of the pricing kernel. When the data are limited, a new method is suggested: relaxed maximization of the relative entropy. This estimator is also consistent.

Suggested Citation

  • Vladislav Kargin, 2003. "Consistent Estimation of Pricing Kernels from Noisy Price Data," Finance 0311001, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpfi:0311001
    Note: Type of Document - pdf; prepared on Win2000; pages: 13
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    References listed on IDEAS

    as
    1. Yacine Aït-Sahalia & Andrew W. Lo, "undated". "Nonparametric Estimation of State-Price Densities Implicit in Financial Asset Prices," CRSP working papers 332, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
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    More about this item

    Keywords

    epsilon-entropy; non-parametric estimation; pricing kernel; inverse problems;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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