A Pontryaghin Maximum Principle Approach For The Optimization Of Dividends/consumption Of Spectrally Negative Markov Processes, Until A Generalized Draw-down Time

TL;DR

This paper develops a Pontryagin maximum principle approach to optimize dividends and consumption strategies in spectrally negative Markov processes, incorporating a generalized draw-down time to unify risk control and passage time concepts.

Contribution

It introduces a novel variational framework for optimizing dividend and consumption policies using a generalized draw-down time in spectrally negative Markov models, extending prior Levy and diffusion results.

Findings

Optimal barrier and draw-down function are characterized for general spectrally negative Markov models.

In Levy models, classic first passage solutions are confirmed as optimal.

Diffusion models' optimality equations are derived, with future work needed on solution existence.

Abstract

The first motivation of our paper is to explore further the idea that, in risk control problems, it may be profitable to base decisions both on the position of the underlying process Xt and on its supremum Xt := sup 0$\le$s$\le$t Xs. Strongly connected to Azema-Yor/generalized draw-down/trailing stop time (see [AY79]), this framework provides a natural unification of draw-down and classic first passage times. We illustrate here the potential of this unified framework by solving a variation of the De Finetti problem of maximizing expected discounted cumulative dividends/consumption gained under a barrier policy, until an optimally chosen Azema-Yor time, with a general spectrally negative Markov model. While previously studied cases of this problem [APP07, SLG84, AS98, AVZ17, AH18, WZ18] assumed either L{\'e}vy or diffusion models, and the draw-down function to be fixed, we describe, for a general spectrally negative Markov model, not only the optimal barrier but also the optimal draw-down function. This is achieved by solving a variational problem tackled by Pontryaghins maximum principle. As a by-product we show that in the L{\'e}vy case the classic first passage solution is indeed optimal; in the diffusion case, we obtain the optimality equations, but the existence of solutions improving the classic ones is left for future work.