Bayesian Option Pricing Using Asymmetric GARCH
AbstractThis 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 InfoPaper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number 97a40.
Length: 19 pages
Date of creation: 1997
Date of revision:
Contact details of provider:
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.
Web page: http://www.greqam.fr/
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PRICING ; SIMULATION;
Other versions of this item:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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- David Ardia & Lennart F. Hoogerheide, 2010.
"Efficient Bayesian Estimation and Combination of GARCH-Type Models,"
Tinbergen Institute Discussion Papers
10-046/4, Tinbergen Institute.
- Ardia, David & Hoogerheide, Lennart F., 2010. "Efficient Bayesian estimation and combination of GARCH-type models," MPRA Paper 22919, University Library of Munich, Germany.
- Lanne, Markku & Luoto, Jani, 2007.
"Robustness of the Risk-Return Relationship in the U.S. Stock Market,"
3879, University Library of Munich, Germany.
- 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.
- 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).
- HAFNER, Christian & HERWARTZ, Helmut, 2001. "Volatility impulse response functions for multivariate GARCH models," CORE Discussion Papers 2001039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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