EconPapers    
Economics at your fingertips  
 

On the Optimal Dividend Problem for Insurance Risk Models with Surplus-Dependent Premiums

Ewa Marciniak and Zbigniew Palmowski ()
Additional contact information
Ewa Marciniak: AGH University of Science and Technology
Zbigniew Palmowski: University of Wrocław

Journal of Optimization Theory and Applications, 2016, vol. 168, issue 2, No 19, 723-742

Abstract: Abstract This paper concerns an optimal dividend distribution problem for an insurance company with surplus-dependent premium. In the absence of dividend payments, such a risk process is a particular case of so-called piecewise deterministic Markov processes. The control mechanism chooses the size of dividend payments. The objective consists in maximizing the sum of the expected cumulative discounted dividend payments received until the time of ruin and a penalty payment at the time of ruin, which is an increasing function of the size of the shortfall at ruin. A complete solution is presented to the corresponding stochastic control problem. We identify the associated Hamilton–Jacobi–Bellman equation and find necessary and sufficient conditions for optimality of a single dividend-band strategy, in terms of particular Gerber–Shiu functions. A number of concrete examples are analyzed.

Keywords: Optimal strategy; PDMP; Barrier strategy; Integro-differential HJB equation; Gerber–Shiu function; Stochastic controls; 60G51; 60G50; 60K25; 93E20 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-015-0755-3 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:168:y:2016:i:2:d:10.1007_s10957-015-0755-3

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

DOI: 10.1007/s10957-015-0755-3

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:168:y:2016:i:2:d:10.1007_s10957-015-0755-3