Explicit construction of a dynamic Bessel bridge of dimension $3$
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Explicit construction of a dynamic Bessel bridge of dimension $3$ |
2. | Creator | Author's name, affiliation, country | Luciano Campi; University Paris 13 |
2. | Creator | Author's name, affiliation, country | Umut Cetin; London School of Economics |
2. | Creator | Author's name, affiliation, country | Albina Danilova; London School of Economics |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Dynamic Bessel bridge; enlargement of filtrations; filtering insider trading; credit risk |
4. | Description | Abstract | Given a deterministically time-changed Brownian motion $Z$ startingfrom $1$, whose time-change $V(t)$ satisfies $V(t) > t$ for all $t > 0$, we perform an explicit construction of a process $X$ which is Brownian motion in its own filtration and that hits zero for the first time at $V(\tau)$, where $\tau := \inf\{t>0: Z_t =0\}$. We also provide the semimartingale decomposition of $X$ under the filtration jointly generated by $X$ and $Z$. Our construction relies on a combination of enlargement of filtration and filtering techniques. The resulting process $X$ may be viewed as the analogue of a $3$-dimensional Bessel bridge starting from $1$ at time $0$ and ending at $0$ at the random time $V(\tau)$. We call this a dynamic Bessel bridge since $V(\tau)$ is not known in advance. Our study is motivated by insider trading models with default risk, where the insider observes the firm's value continuously on time. The financial application, which uses results proved in the present paper, has been developed in a companion paper. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2013-02-27 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/1907 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v18-1907 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 18 |
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
|