Two Approaches for a Dividend Maximization Problem under an Ornstein-Uhlenbeck Interest Rate
Julia Eisenberg,
Stefan Kremsner and
Alexander Steinicke
Additional contact information
Julia Eisenberg: Department of Financial and Actuarial Mathematics, TU Wien, Wiedner Hauptstraße 8–10/E105-1, 1040 Vienna, Austria
Stefan Kremsner: Department of Mathematics, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Alexander Steinicke: Department of Mathematics and Information Technology, Montanuniversitaet Leoben, Peter Tunner-Straße 25/I, 8700 Leoben, Austria
Mathematics, 2021, vol. 9, issue 18, 1-20
Abstract:
We investigate a dividend maximization problem under stochastic interest rates with Ornstein-Uhlenbeck dynamics. This setup also takes negative rates into account. First a deterministic time is considered, where an explicit separating curve ? ( t ) can be found to determine the optimal strategy at time t . In a second setting, we introduce a strategy-independent stopping time. The properties and behavior of these optimal control problems in both settings are analyzed in an analytical HJB-driven approach, and we also use backward stochastic differential equations.
Keywords: optimal control; dividends; stochastic interest rate; Hamilton–Jacobi–Bellman equation; HJB; finite time horizon; backward stochastic differential equation; BSDE (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/9/18/2257/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/18/2257/ (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:jmathe:v:9:y:2021:i:18:p:2257-:d:635262
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().