The GARCH-stable option pricing model
β Scribed by H.A. Hauksson; S.T. Rachev
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 963 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0895-7177
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β¦ Synopsis
An option pricing model is developed based on a generalized autoregressive conditional heteroskedastic (GARCH) asset return process with stable Paretian innovations.
Our approach is based on t,he locally risk-neutral valuation relationship. Methods for maximum likelihood estimation of GARCH-stable processes are presented as well as empirical results for the DAX index. Finally, the results of Monte Carlo simulations evaluating prices of European call options, implied volatility, delta hedging parameters, and value at risk are presented.
π SIMILAR VOLUMES
## Abstract The authors explore the finite sample properties of the generalized autoregressive conditional heteroscedasticity (GARCH) option pricing model proposed by S. L. Heston and S. Nandi (2000). Simulation results show that the maximum likelihood estimators of the GARCH process may contain su
## Abstract In this article, we study the empirical performance of the GARCH option pricing model relative to the ad hoc BlackβScholes (BS) model of Dumas, Fleming, and Whaley. Specifically, we investigate the empirical performance of the option pricing model based on the exponential GARCH (EGARCH)
## Abstract This study proposes an __N__ βstate Markovβswitching general autoregressive conditionally heteroskedastic (MSβGARCH) option model and develops a new lattice algorithm to price derivatives under this framework. The MSβGARCH option model allows volatility dynamics switching between differ
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