论文标题
线性季度优化下的稳定股息
Stable Dividends under Linear-Quadratic Optimization
论文作者
论文摘要
从风险业务的股息中的优化标准最常根据未来股利的预期现值进行正式化。该标准无视对股息稳定性的潜在,明确的需求。特别是,在精算风险理论中,将未来股息的最大化被深入研究为所谓的finetti问题。但是,最佳策略通常会成为所谓的障碍策略。因此,这些策略远非稳定,次优型股息策略最近受到了关注。相反,在线性季节问题的类别中,如果明确强调,对稳定性的需求。这些最常在与精算风险模型不同的扩散模型中进行了研究。我们通过在线性季节标准下得出最佳的仿射股息策略来弥合这些思维模式之间的差距,以进行一般的莱维过程。我们通过汉密尔顿 - 雅各比 - 贝尔曼方程来表征价值函数,对其进行求解,并将其目标和最佳控制与最大化未来股息的预期现值的经典目标进行比较。因此,我们提供了一个框架,其中有风险业务的股息稳定性,例如在经典风险理论中,明确要求并明确获得。
The optimization criterion for dividends from a risky business is most often formalized in terms of the expected present value of future dividends. That criterion disregards a potential, explicit demand for stability of dividends. In particular, within actuarial risk theory, maximization of future dividends have been intensively studied as the so-called de Finetti problem. However, there the optimal strategies typically become so-called barrier strategies. These are far from stable and suboptimal affine dividend strategies have therefore received attention recently. In contrast, in the class of linear-quadratic problems a demand for stability if explicitly stressed. These have most often been studied in diffusion models different from the actuarial risk models. We bridge the gap between these patterns of thinking by deriving optimal affine dividend strategies under a linear-quadratic criterion for a general Lévy process. We characterize the value function by the Hamilton-Jacobi-Bellman equation, solve it, and compare the objective and the optimal controls to the classical objective of maximizing expected present value of future dividends. Thereby we provide a framework within which stability of dividends from a risky business, as e.g. in classical risk theory, is explicitly demanded and explicitly obtained.