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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

  • DOI - Digital Object Identifier

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

Návaznosti výsledku

  • Projekt

  • 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

  • e-ISSN

  • 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