scholarly journals CAPITAL STRUCTURE ANALYSIS TO OPTIMIZE THE PROFITABILITY OF MSMES (CASE STUDY ON MSMES HIKMAH IN SIDOARJO, EAST JAVA, INDONESIA)

2019 ◽  
Vol 1 (2) ◽  
pp. 241-250
Author(s):  
Danur Ramadhani ◽  
Agus Sukoco ◽  
Joko Suyono
Keyword(s):  
Capital Structure ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Financial Statements ◽  
Business Owners ◽  
Optimal Capital Structure ◽  
Descriptive Research ◽  
The Cost ◽  
The Capital Structure

This study aims to analyze the capital structure used to optimize profitability in MSME embroidery shoes. This study uses descriptive research with a qualitative approach. The analytical method is used Weighted Average Cost Of Capital (WACC). The techniques of data collection in this research used interview, observation, documentation and triangulation methods. The data that used are financial transaction records and financial statements issued by the company itself. The results showed that UD. Hikmah used the composition of the capital structure consisting of debt of 20%, 80% own capital with a ROE rate of 170%. Optimization results obtained the optimal capital structure composition on the composition of debt 23% and own capital 77%. By generating a level of profitability that can provide a favorable return for business owners, with the highest calculation of ROE that is equal to 173% and the cost of capital to be borne is Rp.18.238.000 every year.

Optimization of the Capital Structure of Telecommunications Companies in Russia

2019 ◽  
Vol 7 (3) ◽  
pp. 4-13
Author(s):  
Елена Филонова ◽  
Yelyena Filonova
Keyword(s):  
Capital Structure ◽  
Financial Management ◽  
Weighted Average ◽  
Financial Statements ◽  
Optimal Capital Structure ◽  
Urgent Task ◽  
Optimal Capital ◽  
Telecommunications Market ◽  
Telecommunications Companies ◽  
The Capital Structure

The choice of optimal capital structure is one of the most important tasks solved by financial management and management of any company. This structure allows you to minimize the weighted average cost of capital and increase the value of the company. The study of problems of optimizing the capital structure and identifying ways to solve them is an urgent task of strategic and financial management. This article presents the results of work in the direction of building the optimal capital structure in the strategic group of competitors of the Russian telecommunications market, which include Rostelecom, Mobile TeleSystems, Megafon, Vympel Communications. The initial informational and statistical base of the performed calculations was the materials of the accounting (financial) statements of the selected companies for 2014–2017.

scholarly journals Cost of Capital Estimation for Highway Concessionaires in Chile

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Cristian Vergara-Novoa ◽  
Juan Pedro Sepúlveda-Rojas ◽  
Miguel D. Alfaro ◽  
Nicolás Riveros
Keyword(s):  
Capital Structure ◽  
Stock Prices ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Cost Of Debt ◽  
Capital Asset Pricing ◽  
Cost Of Equity ◽  
Asset Pricing Model ◽  
The Cost ◽  
The Capital Structure

In this paper, we present the cost of capital estimation for highway concessionaires in Chile. We estimated the cost of equity and the cost of debt and determined the capital structure for each one of twenty-four concessionaires that operate highways. We based our estimations on the developments of Sharpe (1964), Modigliani and Miller (1958), and Maquieira (2009), which were also compared with the Brusov et al. (2015) developments. We collected stock prices for different highway concessionaires around the world from Google Finance and Reuters’ websites in order to determine the Beta of equity using a representative company. After that, we estimated the cost of equity considering Hamada (1969) and a Capital Asset Pricing Model. Then, we estimated the cost of capital using the cost of debt and the capital structure of Chile’s highway concessionaires. With all above, we were able to determine the Weighted Average Cost of Capital (WACC) for highway concessions which ranges from 5.49 to 6.62%.

scholarly journals Levered-Beta and Cost of Capital Sensitivities: An Experimental Investigation in Capital Structure

2021 ◽  
Vol 14 (4) ◽  
pp. 152
Author(s):  
Kudret Topyan
Keyword(s):  
Capital Structure ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Debt Ratio ◽  
Bond Ratings ◽  
Optimal Capital Structure ◽  
Rating Method ◽  
Optimal Capital ◽  
The Cost ◽  
The Impact

Using US firms with over $5b market cap, this paper tests the impact of levered beta on the firm’s market value and optimal capital structure. Using the synthetic rating method in a recursive model, the paper shows the current and optimal weighted average cost of capital sensitivities as the firm’s market risk measured by beta changes. The paper shows that the change in the value of beta due to alternative leverage levels or other risk factors will alter the cost of capital insignificantly and has no impact on the optimal capital structure due to those firms’ extra-strong bond ratings. As a side-benefit of the synthetic rating method, one may also observe the market-level variables’ impacts on the cost of capital computations and the optimal debt ratio. The paper uses Disney Corporation to show how the synthetic rating methodology helps to disclose the sensitivities of hypothetical alternative leverages.

scholarly journals ANALISIS STRUKTUR MODAL YANG OPTIMAL PADA PT. TELEKOMUNIKASI INDONESIA, Tbk PERIODE 2004-2008

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Arnold Japutra ◽  
Winda Wijaya
Keyword(s):  
Decision Making ◽  
Capital Structure ◽  
Average Cost ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Return On Equity ◽  
Optimal Capital Structure ◽  
Optimal Capital ◽  
A Company ◽  
The Capital Structure

<p>Capital structure is one of the most important elements in a company. Decision-making errors in the capital structure may cause a very big impact and it can force the company into bankruptcy. Therefore, in order to continue operating, a company should have an optimal capital structure. Optimal capital structure is achieved at the lowest cost level and the highest level return on equity. The research objective is to measure the financial performance of PT Telekomunikasi Indonesia, Tbk by analyzing the composition of capital structure, ACC, ROE, and whether the capital structure by the years 2004-2008 were optimal or not. From the results of the research, capital structure of PT Telekomonikasi Indonesia, Tbk during the years 2004 -2008 showed an optimal capital structure. The result can be seen as the ROE produced by the company is bigger compared to Weighted Average Cost of Capital (WACC) for each period.</p><p>Key words : Capital structure, return on equity, Weighted Average Cost of Capital</p>

scholarly journals ANALISIS STRUKTUR MODAL PADA PERUSAHAAN SEMEN YANG TERDAFTAR DI BURSA EFEK INDONESIA

2019 ◽  
Vol 3 (2) ◽  
pp. 235-252
Author(s):  
Dirah Nurmila Siliwadi ◽  
Siti Hartati Muliawani
Keyword(s):  
Capital Structure ◽  
Stock Exchange ◽  
Weighted Average ◽  
Optimal Capital Structure ◽  
Debt Capital ◽  
Optimal Capital ◽  
The Cost ◽  
The Capital Structure

The aim to be achieved in this study is to analyze the capital structure of the Cement companies listed on the Indonesia Stock Exchange. Cement companies listed on the Indonesia Stock Exchange for 3 years namely 2011 to 2013 in setting their capital structure policies tend to use their own capital which is greater than debt capital, this can be seen from the proportion of own capital which is greater than the proportion of debt. The optimal capital structure of 3 years from 2011 to 2013 occurred in 2011, namely when the cost of the weighted average capital of the minimum Cement company.

scholarly journals Do Strict Capital Requirements Raise the Cost of Capital? Bank Regulation, Capital Structure, and the Low-Risk Anomaly

2015 ◽  
Vol 105 (5) ◽  
pp. 315-320 ◽  
Author(s):  
Malcolm Baker ◽  
Jeffrey Wurgler
Keyword(s):  
Capital Structure ◽  
Stock Returns ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Capital Requirements ◽  
Structure Theory ◽  
Treasury Bills ◽  
Percentage Point Increase ◽  
Point Increase ◽  
The Cost

Traditional capital structure theory predicts that reducing banks' leverage reduces the risk and cost of equity but does not change the weighted average cost of capital, and thus the rates for borrowers. We confirm that the equity of better-capitalized banks has lower beta and idiosyncratic risk. However, over the last 40 years, lower risk banks have not had lower costs of equity (lower stock returns), consistent with a stock market anomaly previously documented in other samples. A calibration suggests that a binding ten percentage point increase in Tier 1 capital to risk-weighted assets could double banks' risk premia over Treasury bills.

scholarly journals Analysis of the structure and cost of capital in mining enterprises

2017 ◽  
Vol 33 (1) ◽  
pp. 77-92 ◽  
Author(s):  
Robert Ranosz
Keyword(s):  
Capital Structure ◽  
Cost Of Capital ◽  
Cost Of Debt ◽  
Cost Of Equity ◽  
Mining Company ◽  
Optimal Capital Structure ◽  
Mining Companies ◽  
Debt Capital ◽  
Capital Funding ◽  
The Cost

AbstractThis article focuses on the analysis of the structure and cost of capital in mining companies. Proper selection of appropriate levels of equity and debt capital funding of investment has a significant impact on its value. Thus, to maximize the value of the company, the capital structure of the company should be composed to minimize the weighted average cost of capital. T he objective of the article is to present the capital structure of selected Polish and world’s mining companies and estimate their cost of equity and debt capital. In the paper the optimal capital structure for the Polish mining company (KGHM SA) was also estimated. It was assumed that both Polish and world’s mining companies, have no debt exceeding 45% in the financing structure. For the most of analyzed cases, the level of financing with debt capital is in the range between 10% and 35%. T he cost of equity exceeds the cost of debt capital and is in the range between 8% and 20%, while the cost of debt capital reaches the range between 1.9% and 12%. T he analysis of the optimal capital structure determining, performed for the selected mining company, showed that debt capital funding for the company should be in the range between 5.7% and 7.4%.

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