通过分析财务结构对公司价值的影响来评估投资机会

M. Mironiuc, Mihai Carp, Ionela-Corina Chersan, I. Robu
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引用次数: 3

摘要

由于需要就购买或投资新的经济实体作出决定,并掌握有关其地位和经济发展条件的正确和详细的资料,因此,尽职调查程序更好地确定了其作用和意义。了解融资战略对组织价值产生的影响,以及在评估财务结构过程中发挥作用的因素,是促成这种方法成功的基本要素。本研究以布加勒斯特证券交易所60家上市公司为样本,旨在建立一系列数学模型,作为识别和量化财务结构对公司价值影响的工具。同时,本研究试图找出具体到公司的内部因素,这些因素决定了财务结构的构成,以及他们对财务杠杆的作用的程度和强度。本文在分析中引入了具体活动对负债的影响,反映了基于企业活动领域评估融资策略充分性的必要性。为了得到研究结果,采用了比率分析法、多元线性回归分析法、可选自变量线性回归分析法、ANCOVA型等数据分析方法。采用SPSS 19.00和AMOS统计软件进行数据处理。
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The Evaluation of the Investment Opportunity by Analyzing the Financial Structure Influence on Company Value
Triggered by the need to make decisions concerning the purchase or investment in new economic entities, with correct and detailed information on their status and economic development conditions, the due diligence process identifies ever better its role and meaning. Knowing the impact generated by the financing strategy on organizational values, as well as the factors that play a role in the process of evaluating the financial structure are essential elements that contribute to the success of such an approach. Based on a sample made up of 60 companies quoted in the Bucharest Stock exchange, this study aims to draw a series of mathematical models that could be used as instruments for the identification and quantification of the influences generated by the financial structure on the companies’ value. At the same time, this study attempts to identify the internal factors, specific to the company, that determine the composition of the financial structure, as well as the sense and intensity of their actions upon financial leverage. This paper introduces in the analysis the influence of specific activity to the indebtedness, reflecting the need for assessing the adequacy of financing strategies based on the activity filed of the enterprises. To obtain the research results, methods of data analysis were used such as: ratios technique, multiple linear regression analysis and linear regression analysis with alternative independent variables, ANCOVA type. Data processing was performed using SPSS 19.00 and AMOS statistical software.
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