Financial Restructuring and Target Capital Structure: An Iterative Algorithm for Shareholder Value Maximization

Paweł Mielcarz, Dmytro Osiichuk, Ryszard Owczarkowski
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引用次数: 4

Abstract

This paper aims to present an iterative algorithm that yields the amount of debt contracting/repayment or equity investment necessary to achieve the target capital structure. The model also helps to estimate the gains in shareholder value that result from financial restructuring process and lead to the optimal leverage ratio.,The paper maintains that certain benchmarks – i.e. industry average financial leverage and unlevered beta corrected for cash – make it possible to determine the parameters of the optimal capital structure for the company, so a failure to adjust to the target may result in value destruction.,The paper presents an iterative algorithm that yields the amount of debt contracting/repayment or equity investment necessary to achieve the target capital structure.,The proposed algorithm overcomes the methodological problems of existing approaches to the estimation of shareholder value gained through financial restructuring and implicitly solves the circularity problem in the calculation of the weighted average cost of capital.
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财务重组与目标资本结构:股东价值最大化的迭代算法
本文旨在提出一种迭代算法,以产生实现目标资本结构所需的债务承包/偿还或股权投资金额。该模型还有助于估计财务重组过程中股东价值的增长,并导致最优杠杆率。本文认为,某些基准-即行业平均财务杠杆和现金校正的无杠杆贝塔-可以确定公司最优资本结构的参数,因此未能调整到目标可能导致价值破坏。本文提出了一种迭代算法,该算法产生实现目标资本结构所需的债务承包/偿还或股权投资金额。该算法克服了现有财务重组股东价值估算方法的方法论问题,并隐含地解决了加权平均资本成本计算中的循环性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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