Optimal ratcheting of dividend payout under Brownian motion surplus
Chonghu Guan, Zuo Quan Xu

TL;DR
This paper solves a long-standing optimal dividend payout problem with a ratcheting constraint by developing a novel PDE approach, establishing existence and uniqueness of solutions, and deriving explicit optimal strategies based on surplus volatility.
Contribution
It introduces a new PDE method to analyze the HJB equation for the ratcheting dividend problem, proving solution properties and deriving the optimal strategy.
Findings
Optimal strategy involves paying maximum dividends when volatility exceeds a threshold.
Surplus level influences when to ratchet up dividends, based on the free boundary.
Investing in stable companies yields higher income and lower volatility benefits.
Abstract
This paper is concerned with a long standing optimal dividend payout problem subject to the so-called ratcheting constraint, that is, the dividend payout rate shall be non-decreasing over time and is thus self-path-dependent. The surplus process is modeled by a drifted Brownian motion process and the aim is to find the optimal dividend ratcheting strategy to maximize the expectation of the total discounted dividend payouts until the ruin time. Due to the self-path-dependent control constraint, the standard control theory cannot be directly applied to tackle the problem. The related Hamilton-Jacobi-Bellman (HJB) equation is a new type of variational inequality. In the literature, it is only shown to have a viscosity solution, which is not strong enough to guarantee the existence of an optimal dividend ratcheting strategy. This paper proposes a novel partial differential equation method…
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Taxonomy
TopicsInsurance, Mortality, Demography, Risk Management · Stochastic processes and financial applications · Global Health Care Issues
