Pathwise construction of stochastic integrals
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Pathwise construction of stochastic integrals |
2. | Creator | Author's name, affiliation, country | Marcel Nutz; Columbia University; United States |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Pathwise stochastic integral; aggregation; non-dominated model; second order BSDE; G-expectation; medial limit |
3. | Subject | Subject classification | 60H05 |
4. | Description | Abstract | We propose a method to construct the stochastic integral simultaneously under a non-dominated family of probability measures. Path-by-path, and without referring to a probability measure, we construct a sequence of Lebesgue-Stieltjes integrals whose medial limit coincides with the usual stochastic integral under essentially any probability measure such that the integrator is a semimartingale. This method applies to any predictable integrand. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2012-06-19 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/2099 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v17-2099 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 17 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|