EconPapers    
Economics at your fingertips  
 

Optimal Dividend Payment in De Finetti Models: Survey and New Results and Strategies

Christian Hipp
Additional contact information
Christian Hipp: Karlsruhe Institute of Technology, D-51465 Bergisch Gladbach, Germany

Risks, 2020, vol. 8, issue 3, 1-27

Abstract: We consider optimal dividend payment under the constraint that the with-dividend ruin probability does not exceed a given value α . This is done in most simple discrete De Finetti models. We characterize the value function V ( s , α ) for initial surplus s of this problem, characterize the corresponding optimal dividend strategies, and present an algorithm for its computation. In an earlier solution to this problem, a Hamilton-Jacobi-Bellman equation for V ( s , α ) can be found which leads to its representation as the limit of a monotone iteration scheme. However, this scheme is too complex for numerical computations. Here, we introduce the class of two-barrier dividend strategies with the following property: when dividends are paid above a barrier B , i.e., a dividend of size 1 is paid when reaching B + 1 from B , then we repeat this dividend payment until reaching a limit L for some 0 ≤ L ≤ B . For these strategies we obtain explicit formulas for ruin probabilities and present values of dividend payments, as well as simplifications of the above iteration scheme. The results of numerical experiments show that the values V ( s , α ) obtained in earlier work can be improved, they are suboptimal.

Keywords: stochastic control; optimal dividend payment; ruin probability constraint, De Finetti model (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2227-9091/8/3/96/pdf (application/pdf)
https://www.mdpi.com/2227-9091/8/3/96/ (text/html)

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:gam:jrisks:v:8:y:2020:i:3:p:96-:d:411896

Access Statistics for this article

Risks is currently edited by Mr. Claude Zhang

More articles in Risks from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jrisks:v:8:y:2020:i:3:p:96-:d:411896