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An Application of Fuzzy Set Theory to the Weighted Average Cost of Capital and Capital Structure Decision

机译:模糊集理论在加权平均资本成本和资本结构决策中的应用

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The purpose of this paper is to present the use of fuzzy logic to improve the calculation of weighted average cost of capital (WACC). The fuzzy WACC approach not only allows the pre-tax cost of debt, the effective tax rate, the tax benefit, and cost of equity to be treated as fuzzy numbers, it also offers ranking means to find the optimal debt ratio. This paper contributes to the literature by offering alternative methods to calculate the WACC and the optimal debt ratio for firms under uncertainty. Compared with the traditional WACC, the fuzzy WACC model can overcome the problems pertinent to uncertainty, complexity and imprecision. This paper thus sheds light on capital structure decision making.
机译:本文的目的是提出使用模糊逻辑来改进加权平均资本成本(WACC)的计算。模糊WACC方法不仅允许将债务的税前成本,有效税率,税收收益和权益成本视为模糊数,而且还提供了排名方法以找到最佳债务比率。本文通过提供替代方法来计算不确定性下企业的WACC和最优债务比率,为文献做出了贡献。与传统的WACC相比,模糊WACC模型可以克服不确定性,复杂性和不精确性的问题。因此,本文为资本结构决策提供了启示。

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