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Optimal level of transfer pricing for profit sharing: a Lagrange regularized game theory approach

机译:利润共享的最优转让定价水平:拉格朗日正则博弈论方法

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This paper suggests a new game-theoretic method for computing the optimal level of transfer pricing for a multidivisional firm cooperatively organized in multiple controlled divisions. We are considering the transfer pricing problem as a collaborative strategy to reduce global taxation consisting in fixing multidivisional enterprises prices in such a way that a global optimum is attained. The goal is to allocate the firm-wide profit between divisions bearing in mind that transfer prices are globally determined and they are not negotiable. Legal restrictions of the problem correspond to bounds that establish the maximum/minimum transfer price determined by the arm's length principle and the applicable tax rates. To deal with this problem, this paper suggests a cooperative game theory approach. The solution of the game results in a strong Nash equilibrium. For computing the strong Nash equilibrium we employ a proximal/gradient method. We use a Lagrange regularization approach for ensuring the existence of a unique strong Nash equilibrium for the transfer pricing problem. An application example validates our approach.
机译:本文提出了一种新的博弈论方法,用于计算在多个受控部门中合作组织的多部门公司的最优转让定价水平。我们正在考虑将转移定价问题作为减少全球税收的一种协作策略,包括以实现全球最优的方式确定多部门企业的价格。我们的目标是要在各部门之间分配公司范围内的利润,同时要记住转移价格是全球范围内确定的,而且不可转让。该问题的法律限制对应于根据独立交易原则和适用税率确定最大/最小转让价格的范围。为了解决这个问题,本文提出了一种合作博弈论方法。博弈的解导致一个很强的纳什均衡。为了计算强纳什均衡,我们采用了近端/梯度法。我们使用拉格朗日正则化方法来确保转移定价问题存在唯一的强纳什均衡。一个应用示例验证了我们的方法。

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