n-covariation, generalized Dirichlet processes and calculus with respect to finite cubic variation processes
In this paper, we introduce first a natural generalization of the concept of Dirichlet process, providing significant examples. The second important tool concept is the n-covariation and the related n-variation. The n-variation of a continuous process and the n-covariation of a vector of continuous processes, are defined through a regularization procedure. We calculate explicitly the n-variation process, when it exists, of a martingale convolution. For processes having finite cubic variation, a basic stochastic calculus is developed. We prove an Itô formula and we study existence and uniqueness of the solution of a stochastic differential equation, in a symmetric-Stratonovich sense, with respect to those processes.
Year of publication: |
2003
|
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Authors: | Errami, Mohammed ; Russo, Francesco |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 104.2003, 2, p. 259-299
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Publisher: |
Elsevier |
Keywords: | n-covariation Martingale convolutions Symmetric integral Stochastic differential equation Finite cubic variation process Hu-Meyer formula Weak Dirichlet process |
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