Randomisation with moral hazard: a path to existence of optimal contracts

Daniel Kršek, Dylan Possamaï
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Abstract

We study a generic principal-agent problem in continuous time on a finite time horizon. We introduce a framework in which the agent is allowed to employ measure-valued controls and characterise the continuation utility as a solution to a specific form of a backward stochastic differential equation driven by a martingale measure. We leverage this characterisation to prove that, under appropriate conditions, an optimal solution to the principal's problem exists, even when constraints on the contract are imposed. In doing so, we employ compactification techniques and, as a result, circumvent the typical challenge of showing well-posedness for a degenerate partial differential equation with potential boundary conditions, where regularity problems often arise.
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带有道德风险的随机化:一条通往最优契约存在的路径
研究有限时间范围内连续时间下的一般委托-代理问题。我们引入了一个框架,在这个框架中,智能体被允许使用测度值控制,并将连续效用描述为由鞅测度驱动的倒向随机微分方程的特定形式的解。我们利用这一特征来证明,在适当的条件下,即使对合同施加了约束,也存在委托人问题的最佳解决方案。在这样做的过程中,我们采用了紧化技术,因此,规避了具有潜在边界条件的退化偏微分方程的典型挑战,其中经常出现正则性问题。
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