A GARCH option pricing model with filtered historical simulation
- Barone-Adesi, Giovanni Istituto di finanza (IFin), Facoltà di scienze economiche, Università della Svizzera italiana, Svizzera
- Engle, Robert F. Stern School of Business, New York University, United States
- Mancini, Loriano Swiss Banking Institute, University of Zurich, Switzerland
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2008
Published in:
- The review of financial studies. - Oxford Publishing Limited. - 2008, vol. 21, no. 3, p. 1223-1258
English
We propose a new method for pricing options based on GARCH models with filtered historical innovaions. In an incomplete market framework, we allow for different distributions of historical and pricing return dynamics, which enhances the model’s flexibility to fit market option prices. An extensive empirical analysis based on S&P 500 Index options shows that our model outperforms other competing GARCH pricing models and ad hoc Black–Scholes models. We show that the flexible change of measure, the asymmetric GARCH volatility, and the nonparametric innovation distribution induce the accurate pricing performance of our model. Using a nonparametric approach, we obtain decreasing state price densities per unit probability as suggested by economic theory and corroborating our GARCH pricing model. Implied volatility smiles appear to be explained by asymmetric volatility and negative skewness of filtered historical innovations.
- Language
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- English
- Classification
- Economics
- License
- License undefined
- Identifiers
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- RERO DOC 17369
- DOI 10.1093/rfs/hhn031
- ARK ark:/12658/srd1318169
- Persistent URL
- https://n2t.net/ark:/12658/srd1318169
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