EconPapers    
Economics at your fingertips  
 

Classical and Impulse Control for the Optimization of Dividend and Proportional Reinsurance Policies with Regime Switching

Jiaqin Wei (), Hailiang Yang () and Rongming Wang ()
Additional contact information
Jiaqin Wei: East China Normal University
Hailiang Yang: The University of Hong Kong
Rongming Wang: East China Normal University

Journal of Optimization Theory and Applications, 2010, vol. 147, issue 2, No 9, 358-377

Abstract: Abstract We consider the optimal proportional reinsurance and dividend strategy. The surplus process is modeled by the classical compound Poisson risk model with regime switching. Considering a class of utility functions, the object of the insurer is to select the reinsurance and dividend strategy that maximizes the expected total discounted utility of the shareholders until ruin. By adapting the techniques and methods of stochastic control, we study the quasi-variational inequality for this classical and impulse control problem and establish a verification theorem. We show that the optimal value function is characterized as the unique viscosity solution of the corresponding quasi-variational inequality.

Keywords: Regime switching; Dividend strategy; Proportional reinsurance; Viscosity solution; Quasi-variational inequality (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-010-9726-x 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:147:y:2010:i:2:d:10.1007_s10957-010-9726-x

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-010-9726-x

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:147:y:2010:i:2:d:10.1007_s10957-010-9726-x