Optimal dividend strategies with time-inconsistent preferences and transaction costs in the Cramér–Lundberg model
Shumin Chen,
Yan Zeng and
Zhifeng Hao
Insurance: Mathematics and Economics, 2017, vol. 74, issue C, 31-45
Abstract:
This paper considers the optimal dividend strategies for an insurance company with transaction costs and time-inconsistent preferences. We assume that the company’s surplus is modeled by a compound Poisson process and that the manager is either naive or sophisticated. We tackle the optimal dividend problem when the claim sizes belong to a certain class of distributions and the optimal dividend strategies are of the lump sum type. Our results indicate that a time-inconsistent manager tends to pay out dividends earlier and more frequently than a time-consistent manager, but with smaller dividend amounts. We also present the special case where claim sizes follow mixed exponential distribution to illustrate our results and to analyze the effect of time-inconsistency and transaction costs on the optimal dividend strategies.
Keywords: Time-inconsistent preferences; Transaction costs; Hyperbolic discount rate; Optimal dividend strategy; Stochastic impulse control (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167668716304255
Full text for ScienceDirect subscribers only
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:eee:insuma:v:74:y:2017:i:c:p:31-45
DOI: 10.1016/j.insmatheco.2017.02.009
Access Statistics for this article
Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu
More articles in Insurance: Mathematics and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().