Sufficient Stochastic Maximum Principle for the Optimal Control of Jump Diffusions and Applications to Finance
N. C. Framstad,
B. Øksendal and
A. Sulem
Additional contact information
N. C. Framstad: University of Oslo
B. Øksendal: University of Oslo
A. Sulem: INRIA, Domaine de Voluceau
Journal of Optimization Theory and Applications, 2004, vol. 121, issue 1, No 5, 77-98
Abstract:
Abstract We give a verification theorem by employing Arrow's generalization of the Mangasarian sufficient condition to a general jump diffusion setting and show the connections of adjoint processes to dynamic programming. The result is applied to financial optimization problems.
Keywords: Jump diffusions; optimal control; sufficient maximum principle; mean-variance portfolio selection (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://link.springer.com/10.1023/B:JOTA.0000026132.62934.96 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:121:y:2004:i:1:d:10.1023_b:jota.0000026132.62934.96
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/B:JOTA.0000026132.62934.96
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().