Martingale approach to optimal portfolio-consumption problems in Markov-modulated pure-jump models Academic Article

journal

  • Stochastic Models

abstract

  • We study optimal investment strategies that maximize expected utility from consumption and terminal wealth in a pure-jump asset price model with Markov-modulated (regime switching) jump-size distributions. We give sufficient conditions for existence of optimal policies and find closed-form expressions for the optimal value function for agents with logarithmic and fractional power (CRRA) utility in the case of two-state Markov chains. The main tools are convex duality techniques, stochastic calculus for pure-jump processes, and explicit formulae for the moments of telegraph processes with Markov-modulated random jumps.

publication date

  • 2015-4-3

edition

  • 31

keywords

  • Closed-form
  • Convex Duality
  • Expected Utility
  • Explicit Formula
  • Fractional Powers
  • Jump
  • Jump Process
  • Logarithmic
  • Markov chain
  • Markov processes
  • Martingale
  • Maximise
  • Model
  • Moment
  • Optimal Investment
  • Optimal Policy
  • Optimal Portfolio
  • Optimal Value Function
  • Regime Switching
  • Stochastic Calculus
  • Strategy
  • Sufficient Conditions
  • Telegraph

International Standard Serial Number (ISSN)

  • 1532-6349

number of pages

  • 31

start page

  • 261

end page

  • 291