多目标资本结构建模:一种目标规划方法

K. Iyer, Surendra S. Yadav, Yamini Agarwal
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摘要

在不断变化的商业模式下,资本结构决策变得复杂起来。由于多年来的变化,20世纪50年代发展起来的理论和模型用于资本结构决策的评估技术已经失去了相关性。尽管金融自由化和全球化,资本仍然是稀缺的。商业环境竞争激烈。利益相关者的要求非常高。生存和成长受到竞争的制约。决策者对资本结构的选择不仅限于债务和股权。破产和窘迫风险超出了资产负债表上的项目,包括资产负债表外的风险敞口。在这种背景下,评估资本结构决策的单一目标的前提在本研究中受到质疑。本研究探讨了决策者在资本结构决策中所遵循的多重考虑因素。该研究通过对19个行业的500强公司进行10年(1998-2007)的样本调查了印度工业的资本结构实践,涉及67个变量,包括杠杆变量。并对杠杆率的扩散进行了分析。本文还探讨了杠杆率与市值和每股收益的关系。根据过去的研究结果和作为本研究一部分的实证调查,确定并证明了处理资本结构决策的多目标标准。在实证调查中,首席财务官作为受访者,对其资本结构决策的目标、优先事项、动机、约束和实践进行了调查。从不同的多目标优化技术中选择目标规划模型。在假设决策者是乐观主义者且不试图完全满足所有目标的前提下,该模型通过最小化与目标函数的偏差,能够同时为多个目标提供满意的解决方案。针对多目标下的资本结构决策,建立了目标规划模型并进行了说明。
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Multi Objective Capital Structure Modelling: A Goal Programming Approach
Capital structure decisions have become complex in the changing business paradigm. The evaluation techniques used for capital structure decisions by the theories and models developed in the 1950s have lost their relevance due to changes over the years. Capital is still scarce despite financial liberalization and globalization. Business environment are exceedingly competitive. Stakeholders are awfully demanding. Survival and growth is restrained by competition. Decision maker's choice on capital structures is not restricted to debt and equity alone. Bankruptcy and distress risk go beyond on balance sheet items including off balance sheet exposures. In the light of this background the premise of a single objective for evaluating capital structure decision is questioned in this study. The study explores the multiple considerations followed by decision maker for capital structure decisions. The study investigates capital structure practices in the Indian industry through a sample of top 500 companies classified in 19 industries for a 10 year period (1998-2007) for 67 variables including the leverage variables. The spread of leverage ratio is also examined. The relationship of leverage ratios with market capitalization and EPS is also explored. Multi objective criteria for processing capital structure decisions is identified and justified based on the findings of the past researches and the empirical survey conducted as a part of this study. In the empirical survey, CFOs as respondents are investigated for their goals, priorities, motivations, constraints and practices for capital structure decision making. Goal Programming model was selected from different multi-objective optimization techniques. The model was found to be capable of providing satisficing solutions to multiple goals simultaneously by minimizing the deviation from the objective function after assuming that the decision maker is an optimist and does not attempt to satisfy all objectives fully. Goal Programming Model has been developed and illustrated for capital structure decisions under multiple objectives.
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