Abstract. We introduce a new variant of the tempered stable distribu-tion, named the modified tempered stable (MTS) distribution and we de-velop a GARCH option pricing model with MTS innovations. This model allows the description of some stylized empirical facts observed in financial markets, such as volatility clustering, skewness, and heavy tails of stock returns. To demonstrate the advantages of the MTS-GARCH model, we present the results of the parameter estimation
URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/CESFramDP2008.htmClassification JEL :...
This paper discusses two classes of distributions, and stochastic processes derived from them: modif...
We propose a new method for pricing options based on GARCH models with filtered historical innovatio...
and the Deutschen Forschungsgemeinschaft. †Michele Leonardo Bianchi’s research was supported by a Ph...
The key problem for option pricing in Garch models is that the risk-neutral distribution of the unde...
The key problem for option pricing in Garch models is that the risk-neutral distribution of the unde...
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied...
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied...
Service (DAAD), and the German Research Foundation (DFG) is gratefully acknowledged. Although asset ...
In this paper, we introduce a new GARCH model with an infinitely divisible distributed innovation, r...
Generalized autoregressive conditional heteroskedastic (GARCH) model is a standard approach to study...
The component GARCH model (CGARCH) was among the first attempts to split the conditional variance in...
1 In this paper, we will discuss a parametric approach to risk-neutral density extraction from optio...
We propose a new method for pricing options based on GARCH models with filtered his-torical innovati...
The Markov Regime-Switching Generalized autoregressive conditional heteroskedastic (MRS-GARCH) model...
URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/CESFramDP2008.htmClassification JEL :...
This paper discusses two classes of distributions, and stochastic processes derived from them: modif...
We propose a new method for pricing options based on GARCH models with filtered historical innovatio...
and the Deutschen Forschungsgemeinschaft. †Michele Leonardo Bianchi’s research was supported by a Ph...
The key problem for option pricing in Garch models is that the risk-neutral distribution of the unde...
The key problem for option pricing in Garch models is that the risk-neutral distribution of the unde...
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied...
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied...
Service (DAAD), and the German Research Foundation (DFG) is gratefully acknowledged. Although asset ...
In this paper, we introduce a new GARCH model with an infinitely divisible distributed innovation, r...
Generalized autoregressive conditional heteroskedastic (GARCH) model is a standard approach to study...
The component GARCH model (CGARCH) was among the first attempts to split the conditional variance in...
1 In this paper, we will discuss a parametric approach to risk-neutral density extraction from optio...
We propose a new method for pricing options based on GARCH models with filtered his-torical innovati...
The Markov Regime-Switching Generalized autoregressive conditional heteroskedastic (MRS-GARCH) model...
URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/CESFramDP2008.htmClassification JEL :...
This paper discusses two classes of distributions, and stochastic processes derived from them: modif...
We propose a new method for pricing options based on GARCH models with filtered historical innovatio...