A maximum principle for Markov regime-switching forward–backward stochastic differential games and applications
Olivier Menoukeu-Pamen () and
Romuald Hervé Momeya ()
Additional contact information
Olivier Menoukeu-Pamen: African Institute for Mathematical Sciences Ghana
Romuald Hervé Momeya: CIBC Asset Management Inc.
Mathematical Methods of Operations Research, 2017, vol. 85, issue 3, No 2, 349-388
Abstract:
Abstract In this paper, we present an optimal control problem for stochastic differential games under Markov regime-switching forward–backward stochastic differential equations with jumps. First, we prove a sufficient maximum principle for nonzero-sum stochastic differential games problems and obtain equilibrium point for such games. Second, we prove an equivalent maximum principle for nonzero-sum stochastic differential games. The zero-sum stochastic differential games equivalent maximum principle is then obtained as a corollary. We apply the obtained results to study a problem of robust utility maximization under a relative entropy penalty and to find optimal investment of an insurance firm under model uncertainty.
Keywords: Forward–backward stochastic differential equations; Markov regime-switching; Stochastic differential games; Optimal investment; Stochastic maximum principle; IM00; IM50; 93E30; 91G80; 91G10; 60G51; 60HXX; 91B30 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s00186-017-0574-4 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:mathme:v:85:y:2017:i:3:d:10.1007_s00186-017-0574-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186
DOI: 10.1007/s00186-017-0574-4
Access Statistics for this article
Mathematical Methods of Operations Research is currently edited by Oliver Stein
More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().