Stable mixture GARCH models
โ Scribed by Broda, Simon A.; Haas, Markus; Krause, Jochen; Paolella, Marc S.; Steude, Sven C.
- Book ID
- 118200432
- Publisher
- Elsevier Science
- Year
- 2013
- Tongue
- English
- Weight
- 473 KB
- Volume
- 172
- Category
- Article
- ISSN
- 0304-4076
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
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
## Abstract This paper proposes a new mixture GARCH model with a dynamic mixture proportion. The mixture Gaussian distribution of the error can vary from time to time. The Bayesian Information Criterion and the EM algorithm are used to estimate the number of parameters as well as the model paramete