Abstract
Fractional Brownian motion (FBM) with Hurst parameter index between 0 and 1 is a stochastic process originally introduced by Kolmogorov in a study of turbulence. Many other applications have subsequently been suggested. In order to obtain good mathematical models based on FBM, it is necessary to have a stochastic calculus for such processes. The purpose of this paper is to give an introduction to this newly developed theory of stochastic integration for FBM based on white-noise theory and (Malliavin–type) differentiation.
Item Type: | Journal article |
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Faculties: | Mathematics, Computer Science and Statistics > Mathematics > Workgroup Financial Mathematics |
Subjects: | 500 Science > 510 Mathematics |
ISSN: | 1364-5021 |
Language: | English |
Item ID: | 109914 |
Date Deposited: | 26. Mar 2024, 07:57 |
Last Modified: | 26. Mar 2024, 07:57 |