Optimal dividends under a drawdown constraint and a curious square-root rule
Hansjoerg Albrecher, Pablo Azcue, Nora Muler

TL;DR
This paper investigates optimal dividend payout strategies under a drawdown constraint, solving a complex control problem and deriving strategies that interpolate between classical and ratcheting constraints, with numerical illustrations and limit results.
Contribution
It introduces a two-curve strategy framework for dividend optimization under drawdown constraints, providing explicit solutions and conditions for optimality, including a novel limit behavior as maximum dividend rate increases.
Findings
Two-curve strategies are optimal under certain conditions.
The optimal strategy interpolates between classical and ratcheting constraints.
A simple limit form emerges when the maximum dividend rate tends to infinity.
Abstract
In this paper we address the problem of optimal dividend payout strategies from a surplus process governed by Brownian motion with drift under a drawdown constraint, i.e. the dividend rate can never decrease below a given fraction of its historical maximum. We solve the resulting two-dimensional optimal control problem and identify the value function as the unique viscosity solution of the corresponding Hamilton-Jacobi-Bellman equation. We then derive sufficient conditions under which a two-curve strategy is optimal, and show how to determine its concrete form using calculus of variations. We establish a smooth-pasting principle and show how it can be used to prove the optimality of two-curve strategies for sufficiently large initial and maximum dividend rate. We also give a number of numerical illustrations in which the optimality of the two-curve strategy can be established for…
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Taxonomy
TopicsStochastic processes and financial applications · Healthcare Operations and Scheduling Optimization · Probability and Risk Models
