A maximum principle for relaxed stochastic control of linear SDEs with application to bond portfolio optimization

Daniel Andersson, Boualem Djehiche

Research output: Contribution to journalArticlepeer-review

Abstract

We study relaxed stochastic control problems where the state equation is a one dimensional linear stochastic differential equation with random and unbounded coefficients. The two main results are existence of an optimal relaxed control and necessary conditions for optimality in the form of a relaxed maximum principle. The main motivation is an optimal bond portfolio problem in a market where there exists a continuum of bonds and the portfolio weights are modeled as measure-valued processes on the set of times to maturity.

Original languageEnglish (US)
Pages (from-to)273-310
Number of pages38
JournalMathematical Methods of Operations Research
Volume72
Issue number2
DOIs
StatePublished - Oct 2010

Keywords

  • Bond portfolio
  • H -function
  • Maximum principle
  • Relaxed control
  • Stochastic control

ASJC Scopus subject areas

  • Software
  • General Mathematics
  • Management Science and Operations Research

Fingerprint

Dive into the research topics of 'A maximum principle for relaxed stochastic control of linear SDEs with application to bond portfolio optimization'. Together they form a unique fingerprint.

Cite this