By extending the GARCH option pricing model of Duan (1995) to more flexible volatility estimation it is shown that the prices of out-of-the-money options strongly depend on volatility features such as asymmetry. Results are provided for the properties of the stationary pricing distribution in the case of a threshold GARCH model. For a stock index series with a pronounced leverage effect, simulated threshold GARCH option prices are substantially closer to observed market prices than the Black/Scholes and simulated GARCH prices
Generalized autoregressive conditional heteroskedasticity (GARCH) provides a better ft to futures pr...
This paper shows how one can compute option prices from a Bayesian inference viewpoint, using a GARC...
In the current literature, the analytical tractability of discrete time option pricing models is gua...
By extending the GARCH option pricing model of Duan to more exible volatil ity estimation it is sh...
By extending the GARCH option pricing model of Duan (1995) to more flexible volatility estimation it...
Option pricing models traditionally have utilized continuous-time frameworks to derive solutions or ...
Empirically the constant volatility model of Black & Scholes (1973) is found to suffer from a nu...
Option pricing models have traditionally utilized continuous-time frameworks to derive solutions or ...
This work deals with time series with flexible conditional variance which is changing according to p...
We look at various volatility models and their applications. Starting from a basic linear GARCH mode...
This article is an empirical study dedicated to the GARCH Option pricing model of Duan (1995) applie...
We introduce the Simplified Component GARCH (SC-GARCH) option pricing model, show and discuss suffic...
We propose a new method for pricing options based on GARCH models with filtered historical innovatio...
We propose a new method for pricing options based on GARCH models with filtered histor-ical innovati...
In this paper we propose a feasible way to price American options in a model with time-varying volat...
Generalized autoregressive conditional heteroskedasticity (GARCH) provides a better ft to futures pr...
This paper shows how one can compute option prices from a Bayesian inference viewpoint, using a GARC...
In the current literature, the analytical tractability of discrete time option pricing models is gua...
By extending the GARCH option pricing model of Duan to more exible volatil ity estimation it is sh...
By extending the GARCH option pricing model of Duan (1995) to more flexible volatility estimation it...
Option pricing models traditionally have utilized continuous-time frameworks to derive solutions or ...
Empirically the constant volatility model of Black & Scholes (1973) is found to suffer from a nu...
Option pricing models have traditionally utilized continuous-time frameworks to derive solutions or ...
This work deals with time series with flexible conditional variance which is changing according to p...
We look at various volatility models and their applications. Starting from a basic linear GARCH mode...
This article is an empirical study dedicated to the GARCH Option pricing model of Duan (1995) applie...
We introduce the Simplified Component GARCH (SC-GARCH) option pricing model, show and discuss suffic...
We propose a new method for pricing options based on GARCH models with filtered historical innovatio...
We propose a new method for pricing options based on GARCH models with filtered histor-ical innovati...
In this paper we propose a feasible way to price American options in a model with time-varying volat...
Generalized autoregressive conditional heteroskedasticity (GARCH) provides a better ft to futures pr...
This paper shows how one can compute option prices from a Bayesian inference viewpoint, using a GARC...
In the current literature, the analytical tractability of discrete time option pricing models is gua...