Showing 1 - 7 of 7
This paper considers discrete time GARCH and continuous time SV models and uses these for American option pricing. We first of all show that with a particular choice of framework the parameters of the SV models can be estimated using simple maximum likelihood techniques. Hence the two types of...
Persistent link: https://www.econbiz.de/10009320846
test the GARCH framework on 30 stocks in the Dow Jones Industrial Average using two classical volatility specififications … and 7 different underlying distributions. Our results provide clear support for using an asymmetric volatility …
Persistent link: https://www.econbiz.de/10009399366
In this paper we propose a feasible way to price American options in a model with time varying volatility and …
Persistent link: https://www.econbiz.de/10005787559
This paper uses asymmetric heteroskedastic normal mixture models to fit return data and to price options. The models can be estimated straightforwardly by maximum likelihood, have high statistical fit when used on S&P 500 index return data, and allow for substantial negative skewness and time...
Persistent link: https://www.econbiz.de/10008462026
models with time varying volatility. In this paper we consider models of this class and examine their potential when it comes …
Persistent link: https://www.econbiz.de/10008468123
In the present paper we suggest to model Realized Volatility, an estimate of daily volatility based on high frequency … Volatility and asset returns. We derive the appropriate dynamics to be used for option pricing purposes in this framework, and we …
Persistent link: https://www.econbiz.de/10005440036
While stochastic volatility models improve on the option pricing error when compared to the Black-Scholes-Merton model …
Persistent link: https://www.econbiz.de/10005440079