Author: Manuel Moreno
Publisher:
ISBN:
Category :
Languages : en
Pages : 47
Book Description
This paper analyses the evolution through time of stock prices considering an extension of jump diffusion processes that incorporates Shot Noise effects. This extension follows the model recently proposed by Altmann et al (2004). The shot noise process introduces a new situation in which the jump effects may fade away on the long run. Thus, this model generalizes other specifications of jump diffusion models as, for instance, Merton (1976) and, then, implies a major flexibility of the model. In addition, many statistical distributions appear as marginal distributions for simple shot-noise processes. This paper provides a general expression for the distribution of the process, which is crucial for its estimation. We also present an estimation procedure based on spectral analysis and perform an exhaustive Monte Carlo study. Finally, an empirical application to real stock prices data is implemented reflecting evidence of shot noise effects in many of the series under analysis.
Estimation of Jump-Diffusion Processes With Shot-Noise Effects
Author: Manuel Moreno
Publisher:
ISBN:
Category :
Languages : en
Pages : 47
Book Description
This paper analyses the evolution through time of stock prices considering an extension of jump diffusion processes that incorporates Shot Noise effects. This extension follows the model recently proposed by Altmann et al (2004). The shot noise process introduces a new situation in which the jump effects may fade away on the long run. Thus, this model generalizes other specifications of jump diffusion models as, for instance, Merton (1976) and, then, implies a major flexibility of the model. In addition, many statistical distributions appear as marginal distributions for simple shot-noise processes. This paper provides a general expression for the distribution of the process, which is crucial for its estimation. We also present an estimation procedure based on spectral analysis and perform an exhaustive Monte Carlo study. Finally, an empirical application to real stock prices data is implemented reflecting evidence of shot noise effects in many of the series under analysis.
Publisher:
ISBN:
Category :
Languages : en
Pages : 47
Book Description
This paper analyses the evolution through time of stock prices considering an extension of jump diffusion processes that incorporates Shot Noise effects. This extension follows the model recently proposed by Altmann et al (2004). The shot noise process introduces a new situation in which the jump effects may fade away on the long run. Thus, this model generalizes other specifications of jump diffusion models as, for instance, Merton (1976) and, then, implies a major flexibility of the model. In addition, many statistical distributions appear as marginal distributions for simple shot-noise processes. This paper provides a general expression for the distribution of the process, which is crucial for its estimation. We also present an estimation procedure based on spectral analysis and perform an exhaustive Monte Carlo study. Finally, an empirical application to real stock prices data is implemented reflecting evidence of shot noise effects in many of the series under analysis.
Estimation of Jump-diffusion Processes Via Empirical Characteristic Functions
Author: Maria Semenova
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Thèse. HEC. 2006
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Thèse. HEC. 2006
Ill-posedness of Parameter Estimation in Jump Diffusion Processes
Author: Dana Düvelmeyer
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Parameters Estimation for Jump-diffusion Process Based on Low and High Frequency Data
Author: Cai Zhu
Publisher:
ISBN:
Category : Diffusion
Languages : en
Pages : 94
Book Description
Publisher:
ISBN:
Category : Diffusion
Languages : en
Pages : 94
Book Description
Parameter Estimation for the Drift of a Time-inhomogeneous Jump Diffusion Process
Author: Brice Franke
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
Book Description
Scientific and Technical Aerospace Reports
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 994
Book Description
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 994
Book Description
Estimation for Diffusion Processes Under Misspecified Models
Author: Ian W. McKeague
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
Book Description
The asymptotic behavior of the maximum likelihood estimator of a parameter in the drift term of a stationary ergodic diffusion process is studied under conditions in which the true drift function and the true noise function do not coincide with those specified by the parametric model. Originator-supplied key words include: Diffusion, Differential Equations.
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
Book Description
The asymptotic behavior of the maximum likelihood estimator of a parameter in the drift term of a stationary ergodic diffusion process is studied under conditions in which the true drift function and the true noise function do not coincide with those specified by the parametric model. Originator-supplied key words include: Diffusion, Differential Equations.
The Journal of Computational Finance
Author:
Publisher:
ISBN:
Category : Finance
Languages : en
Pages : 486
Book Description
Publisher:
ISBN:
Category : Finance
Languages : en
Pages : 486
Book Description
Jump-Diffusion Calibration Using Differential Evolution
Author: David Ardia
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
Book Description
The estimation of a jump-diffusion model via Differential Evolution is presented. Finding the maximum likelihood estimator for such processes is a tedious task due to the multimodality of the likelihood function. The performance of the Differential Evolution algorithm is compared with standard optimization techniques.
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
Book Description
The estimation of a jump-diffusion model via Differential Evolution is presented. Finding the maximum likelihood estimator for such processes is a tedious task due to the multimodality of the likelihood function. The performance of the Differential Evolution algorithm is compared with standard optimization techniques.
Physics Briefs
Author:
Publisher:
ISBN:
Category : Physics
Languages : en
Pages : 1118
Book Description
Publisher:
ISBN:
Category : Physics
Languages : en
Pages : 1118
Book Description