Journal article
An iterated Azéma-Yor type embedding for finitely many marginals
- Abstract:
- We consider here an n-marginal Skorokhod embedding problem (SEP). We construct an explicit solution which has desirable optimal properties. The classical (one-marginal) SEP consists in finding a stopping time τ such that a given stochastic process (Xt) stopped at τ has a given distribution µ. For the solution to be useful (and non-trivial) one further requires τ to be minimal (cf. Ob l´oj (21, Sec. 8)). When X is a continuous local martingale and µ is centred in X0, this is equivalent to (Xt∧τ : t ≥ 0) being a uniformly integrable martingale. The problem dates back to the original work in Skorokhod (25) and has remained an active field of research since. New solutions often either considered new classes of processes X or focused on finding stopping times τ with additional optimal properties. This paper contributes to the latter category. We are motivated, as was the case for several earlier works in the field, by questions arising in mathematical finance which we highlight below.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 838.8KB, Terms of use)
-
- Publisher copy:
- 10.1214/16-AOP1110
Authors
+ European Research Council
More from this funder
- Grant:
- (FP7/2007-2013) ERC grant agreement no. 335421
+ Oxford-Man Institute of Quantitative Finance
More from this funder
- Funding agency for:
- Obloj, J
- Spoida, P
- Publisher:
- Institute of Mathematical Statistics
- Journal:
- Annals of Probability More from this journal
- Volume:
- 45
- Issue:
- 4
- Pages:
- 2210-2247
- Publication date:
- 2017-08-11
- Acceptance date:
- 2016-04-13
- DOI:
- ISSN:
-
0091-1798
- Keywords:
- Pubs id:
-
pubs:395169
- UUID:
-
uuid:1a80b4ea-fa0a-43bf-99c1-c8d07d39378f
- Local pid:
-
pubs:395169
- Source identifiers:
-
395169
- Deposit date:
-
2013-11-16
- ARK identifier:
Terms of use
- Copyright holder:
- Institute of Mathematical Statistics
- Copyright date:
- 2017
- Notes:
- © Institute of Mathematical Statistics, 2016. This is the accepted manuscript version of the article. The final version is available online from the Institute of Mathematical Statistics at: [10.1214/16-AOP1110]
If you are the owner of this record, you can report an update to it here: Report update to this record