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Optimal revenue-sharing contract based on forecasting effort for uncertain agency problem

机译:基于不确定代理商问题的预测工作的最优收益分成合同

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This paper discusses an optimal contracting problem between a principal and an agent by establishing an uncertain agency model. Compared with the existing work, this research focuses on the risk cost caused by the wrong investment in a task based on an inaccurate assessment about the potential output. To avoid it, the principal authorizes the professional agent to make a more accurate assessment about the output in the light of his professional knowledge and experience, and then to show the principal the optimal amount invested in the task. Meanwhile, as an incentive for the agent to pay great forecasting effort to make the more accurate assessment about the output, the principal provides the agent with a revenue-sharing contract including a sharing ratio for him. On this view, this paper proposes the optimal revenue-sharing contract that provides guidance for the two participators to make their respective optimal decisions. Furthermore, the proposed work is supported with the numerical results by analyzing the evolutions of the optimal contract under various influencing factors.
机译:通过建立不确定的代理模型,讨论委托人与代理之间的最优契约问题。与现有工作相比,本研究基于对潜在产出的不正确评估,着重研究由于错误投资一项任务而导致的风险成本。为了避免这种情况,委托人授权专业代理根据其专业知识和经验对输出进行更准确的评估,然后向委托人显示在任务上投入的最佳金额。同时,为了激励代理商付出巨大的预测努力来对输出进行更准确的评估,委托人向代理商提供了包括他的分摊比例的收益共享合同。基于这种观点,本文提出了最优收益共享合同,为两个参与者做出各自的最优决策提供指导。此外,通过分析各种影响因素下最优合约的演变,数值研究结果为拟议工作提供了支持。

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