Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 259-299 |
| Number of pages | 41 |
| Journal | Stochastic Processes and their Applications |
| Volume | 104 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2003 |
| Externally published | Yes |
Keywords
- Finite cubic variation process
- Hu-Meyer formula
- Martingale convolutions
- Stochastic differential equation
- Symmetric integral
- Weak Dirichlet process
- n-covariation
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