Optimization of a Company's Capital Structure: Global Problem of the Corporate Finance andits Possible Solutions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F16%3A43891780" target="_blank" >RIV/60076658:12510/16:43891780 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/75081431:_____/16:00000994
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimization of a Company's Capital Structure: Global Problem of the Corporate Finance andits Possible Solutions
Popis výsledku v původním jazyce
The influence of a capital structure on the profitability of a company is really significant. A company has to pay for using capital especially in two forms, i.e. in the form of interests (for debts) and dividends (for use of equity). The costs determine the size of profit or loss of the company. That is why all the companies try to minimize the costs paid for using the capital. There are several possibilities to optimize the capital structure. This contribution uses WACC (Weighted Average Cost of Capital). It really focuses on the two parts of capital - debt and equity. We know the price for using debt and equity. However, the rate of equity and rate of debt change according to the size of the company's debt. The general truth is that if debt grows the rate of debt grows and rate of equity also grows. The investors suppose higher profit for higher risk. On the other hand, it is necessary to point out that the relation of the development of debt, rate of debt and rate of equity is not linear. The main objective of the paper is to predict the rate of debt and rate of equity according to the proportion of debt in the case of a specific company. The artificial neural networks are used for setting a regression model, concretely multi-layer perceptron neural networks and radial basis function neural networks. The results are in the shape of two curves. In both cases the independent value is the size of debt. The independent values are rate of debt and rate of equity.
Název v anglickém jazyce
Optimization of a Company's Capital Structure: Global Problem of the Corporate Finance andits Possible Solutions
Popis výsledku anglicky
The influence of a capital structure on the profitability of a company is really significant. A company has to pay for using capital especially in two forms, i.e. in the form of interests (for debts) and dividends (for use of equity). The costs determine the size of profit or loss of the company. That is why all the companies try to minimize the costs paid for using the capital. There are several possibilities to optimize the capital structure. This contribution uses WACC (Weighted Average Cost of Capital). It really focuses on the two parts of capital - debt and equity. We know the price for using debt and equity. However, the rate of equity and rate of debt change according to the size of the company's debt. The general truth is that if debt grows the rate of debt grows and rate of equity also grows. The investors suppose higher profit for higher risk. On the other hand, it is necessary to point out that the relation of the development of debt, rate of debt and rate of equity is not linear. The main objective of the paper is to predict the rate of debt and rate of equity according to the proportion of debt in the case of a specific company. The artificial neural networks are used for setting a regression model, concretely multi-layer perceptron neural networks and radial basis function neural networks. The results are in the shape of two curves. In both cases the independent value is the size of debt. The independent values are rate of debt and rate of equity.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
AE - Řízení, správa a administrativa
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
GLOBALIZATION AND ITS SOCIO-ECONOMIC CONSEQUENCES 16th International Scientific Conference
ISBN
978-80-8154-191-9
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
1696-1703
Název nakladatele
GEORG, Bajzova 11, 010 01 Zilina, Slovak Republic
Místo vydání
Žilina
Místo konání akce
Rajecke Teplice
Datum konání akce
5. 10. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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