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Bayesian Option Pricing Using Asymmetric GARCH

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Author Info

  • Bauwens, L.
  • Lubrano, M.

Abstract

This paper shows how one can compute option prices from a Bayesian inference viewpoint, using an econometric model for the dynamics of the return and of the volatility of the underlying asset. The proposed evaluation of an option is the predictive expectation of its payoff function. The predictive distribution of this function provides a natural metric with respect to which the predictive option price, or other option evaluations, can be gauged.

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Bibliographic Info

Paper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number 97a40.

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Length: 19 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:fth:aixmeq:97a40

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Postal: G.R.E.Q.A.M., (GROUPE DE RECHERCHE EN ECONOMIE QUANTITATIVE D'AIX MARSEILLE), CENTRE DE VIEILLE CHARITE, 2 RUE DE LA CHARITE, 13002 MARSEILLE.
Phone: 04.91.14.07.70
Fax: 04.91.90.02.27
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Web page: http://www.greqam.fr/
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Keywords: PRICING ; SIMULATION;

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Cited by:
  1. HAFNER, Christian M. & HERWARTZ, Helmut, 1998. "Volatility impulse response functions for multivariate GARCH models," CORE Discussion Papers 1998047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Lanne, Markku & Luoto, Jani, 2008. "Robustness of the risk-return relationship in the U.S. stock market," Finance Research Letters, Elsevier, vol. 5(2), pages 118-127, June.
  3. Ardia, David & Hoogerheide, Lennart F., 2010. "Efficient Bayesian estimation and combination of GARCH-type models," MPRA Paper 22919, University Library of Munich, Germany.

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