Maximizing the Value of a Company through the Financial Decision using the Genetic Algorithms Method

Monica Bogdan, Cristina Feniser, Florin Lungu
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引用次数: 1

Abstract

At the level of an economic entity, a manager is confronted with three main categories of decisions: investment decisions, financing decisions and profit allocation decisions. The first category of decisions is closely tied to financing decisions.

Financing decisions do not just represent allocation of capital, but it is also a useful activity in a certain segment of the market, using material resources and hiring human resources in order to obtain superior results.

Financing decisions have an important impact over the impact of liabilities, modifying their chargeability degree and the average cost of capital. Financing decision aim for the selection of optimal sources of financing for enterprising and establishing the most adequate ratio between internal sources resulting from self-financing and from divestment of fixed and current assets, on one hand, and external sources that attract capital from outside enterprise on the other hand. The criteria on which the financial structure of the enterprise is established is based on achieving the lowest cost of the capital in the conditions of a reasonable and controllable level of debt of the company.

A constant preoccupation of companies is finding financing sources for their activity with the lowest possible costs, which means minimal guarantees and easy access to them.

基于遗传算法的公司财务决策价值最大化研究
在经济实体层面,管理者面临着三大类决策:投资决策、融资决策和利润分配决策。第一类决策与融资决策密切相关。融资决策不仅仅是资本的配置,它也是在一定的细分市场中使用物质资源和雇用人力资源以获得优异结果的有用活动。融资决策对负债的影响、调整负债的可负担程度和平均资金成本具有重要影响。融资决策的目的是为企业选择最优的融资来源,在企业自筹资金、剥离固定资产和流动资产产生的内部资金来源与企业外部吸引资金的外部资金来源之间建立最适当的比例。建立企业财务结构的标准是在公司债务水平合理可控的情况下,实现资金成本最低。企业一直关注的一个问题是以尽可能低的成本为其活动寻找融资来源,这意味着最低限度的担保和容易获得担保。
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