English

On the bail-out dividend problem for spectrally negative Markov additive models

Mathematical Finance 2020-02-10 v4 Optimization and Control

Abstract

This paper studies the bail-out optimal dividend problem with regime switching under the constraint that the cumulative dividend strategy is absolutely continuous. We confirm the optimality of the regime-modulated refraction-reflection strategy when the underlying risk model follows a general spectrally negative Markov additive process. To verify the conjecture of a barrier type optimal control, we first introduce and study an auxiliary problem with the final payoff at an exponential terminal time and characterize the optimal threshold explicitly using fluctuation identities of the refracted-reflected Levy process. Second, we transform the problem with regime-switching into an equivalent local optimization problem with a final payoff up to the first regime switching time. The refraction-reflection strategy with regime-modulated thresholds can be shown as optimal by using results in the first step and some fixed point arguments for auxiliary recursive iterations.

Keywords

Cite

@article{arxiv.1901.03021,
  title  = {On the bail-out dividend problem for spectrally negative Markov additive models},
  author = {Kei Noba and José-Luis Pérez and Xiang Yu},
  journal= {arXiv preprint arXiv:1901.03021},
  year   = {2020}
}

Comments

Final version, to appear in SIAM Journal on Control and Optimization. Keywords: Refracted-reflected spectrally negative Levy process, capital injection, absolutely continuous constraint, regime-switching, fixed point argument

R2 v1 2026-06-23T07:07:44.380Z