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Estimation of risk-neutral and statistical densities by Hermite polynomial approximation: with an application to Eurodollar futures options

Author

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  • Peter A. Abken
  • Dilip B. Madan
  • Buddhavarapu Sailesh Ramamurtie

Abstract

This paper expands and tests the approach of Madan and Milne (1994) for pricing contingent claims as elements of a separable Hilbert space. We specialize the Hilbert space basis to the family of Hermite polynomials and use the model to price options on Eurodollar futures. Restrictions on the prices of Hermite polynomial risk for contingent claims with different times to maturity are derived. These restrictions are rejected by our empirical tests of a four-parameter model. The unrestricted results indicate skewness and excess kurtosis in the implied risk-neutral density. These characteristics of the density are also mirrored in the statistical density estimated from a time series on LIBOR. The out-of-sample performance of the four-parameter model is consistently better than that of a two-parameter version of the model.

Suggested Citation

  • Peter A. Abken & Dilip B. Madan & Buddhavarapu Sailesh Ramamurtie, 1996. "Estimation of risk-neutral and statistical densities by Hermite polynomial approximation: with an application to Eurodollar futures options," FRB Atlanta Working Paper 96-5, Federal Reserve Bank of Atlanta.
  • Handle: RePEc:fip:fedawp:96-5
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    File URL: https://fraser.stlouisfed.org/title/working-papers-federal-reserve-bank-atlanta-8586/estimation-risk-neutral-statistical-densities-hermite-polynomial-approximation-656608
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