A new Multifractional Process with Random Exponent
Document type :
Article dans une revue scientifique: Article original
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Title :
A new Multifractional Process with Random Exponent
Author(s) :
Ayache, Antoine [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Esser, Céline [Auteur]
Hamonier, Julien [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Esser, Céline [Auteur]
Hamonier, Julien [Auteur]

Journal title :
Risk and Decision Analysis
Publisher :
IOS
Publication date :
2018
ISSN :
1569-7371
English keyword(s) :
Fractional Brownian Motion
varying Hurst parameter
Haar basis
Hölder regularity
Itô integral
varying Hurst parameter
Haar basis
Hölder regularity
Itô integral
HAL domain(s) :
Mathématiques [math]
English abstract : [en]
A first type of Multifractional Process with Random Exponent (MPRE) was constructed several years ago in [2] by replacing in a wavelet series representation of Fractional Brownian Motion (FBM) the Hurst parameter by a ...
Show more >A first type of Multifractional Process with Random Exponent (MPRE) was constructed several years ago in [2] by replacing in a wavelet series representation of Fractional Brownian Motion (FBM) the Hurst parameter by a random variable depending on the time variable. In the present article, we propose another approach for constructing another type of MPRE. It consists in substituting to the Hurst parameter, in a stochastic integral representation of the high-frequency part of FBM, a random variable depending on the integration variable. The MPRE obtained in this way offers, among other things, the advantages to have a representation through classical Itô integral and to be less difficult to simulate than the first type of MPRE, previously introduced in [2]. Yet, the study of Hölder regularity of this new MPRE is a significantly more challenging problem than in the case of the previous one. Actually, it requires to develop a new methodology relying on an extensive use of the Haar basis.Show less >
Show more >A first type of Multifractional Process with Random Exponent (MPRE) was constructed several years ago in [2] by replacing in a wavelet series representation of Fractional Brownian Motion (FBM) the Hurst parameter by a random variable depending on the time variable. In the present article, we propose another approach for constructing another type of MPRE. It consists in substituting to the Hurst parameter, in a stochastic integral representation of the high-frequency part of FBM, a random variable depending on the integration variable. The MPRE obtained in this way offers, among other things, the advantages to have a representation through classical Itô integral and to be less difficult to simulate than the first type of MPRE, previously introduced in [2]. Yet, the study of Hölder regularity of this new MPRE is a significantly more challenging problem than in the case of the previous one. Actually, it requires to develop a new methodology relying on an extensive use of the Haar basis.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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Source :
Submission date :
2025-01-24T14:53:44Z
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