scholarly journals PRIVATE COST OF CAPITAL AND INCREMENTAL BUSINESS VALUE OF MID-MARKET FIRMS

2021 ◽  
Vol 16 (Number 1) ◽  
pp. 1-20
Author(s):  
Daibi Wellington Dagogo ◽  
Saheed K. Ajadi
Keyword(s):  
Private Equity ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Business Value ◽  
Cost Of Debt ◽  
Linear Estimator ◽  
Cost Of Equity ◽  
Private Debt ◽  
Private Cost ◽  
Middle Market

This study examined the implications of private cost of capital on the incremental business value (IBV) of middle market firms in Nigeria. Specifically, three costs were identified as follows: private cost of debt (PCD), private cost of equity (PCE), and overall private cost of capital (PCOC). The purpose was to investigate the extent to which private cost of capital, which is calculated differently from weighted average cost of capital for large enterprises, could contribute to incremental business value of middle market (mid-market) firms. Two panel data regression models were specified with one dependent variable (incremental business value). The first model has private cost of equity and private cost of debt as independent variables, while the second has private cost of capital as the independent variable. The panel comprised 10 middle market enterprises registered as members of the Nigerian Association of Stock Dealers (NASD). Middle market enterprises are operators in the private sector whose total assets (excluding land and building) are above one hundred and fifty thousand USD but not more than one million five hundred thousand USD. The study adopted the fixed effect model as the best linear estimator after a model validation with the aid of the Hausman test. We found that private cost of debt, private cost of equity, and overall private cost of capital have negative and significant effects on the incremental business value of middle market firms. We concluded that incremental business value is more elastic to changes in private cost of equity than private cost of debt, and that this is as a result of two phenomena: firstly, higher explicit private cost of equity than debt, and secondly, greater proportion of private equity than private debt in the capital structure of middle market firms in Nigeria.

scholarly journals Market value calculation and the solution of circularity between value and the weighted average cost of capital WACC

2009 ◽  
Vol 10 (6) ◽  
pp. 101-131 ◽  
Author(s):  
Ignacio Vélez-Pareja ◽  
Joseph Tham
Keyword(s):  
Average Cost ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Cost Of Debt ◽  
Cost Of Equity ◽  
Tax Rate ◽  
Market Values ◽  
Equity Cost ◽  
Tax Payments ◽  
The Cost

Most finance textbooks present the Weighted Average Cost of Capital (WACC) calculation as: WACC = Kd×(1-T)×D% + Ke×E%, where Kd is the cost of debt before taxes, T is the tax rate, D% is the percentage of debt on total value, Ke is the cost of equity and E% is the percentage of equity on total value. All of them precise (but not with enough emphasis) that the values to calculate D% y E% are market values. Although they devote special space and thought to calculate Kd and Ke, little effort is made to the correct calculation of market values. This means that there are several points that are not sufficiently dealt with: Market values, location in time, occurrence of tax payments, WACC changes in time and the circularity in calculating WACC. The purpose of this note is to clear up these ideas, solve the circularity problem and emphasize in some ideas that usually are looked over. Also, some suggestions are presented on how to calculate, or estimate, the equity cost of capital.

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%.

CSR and cost of capital: evidence from Japan

2017 ◽  
Vol 13 (4) ◽  
pp. 798-816 ◽  
Author(s):  
Megumi Suto ◽  
Hitoshi Takehara
Keyword(s):  
Ownership Structure ◽  
Capital Market ◽  
Cost Of Capital ◽  
Corporate Social Performance ◽  
Weighted Average ◽  
Cost Of Debt ◽  
Cost Of Equity ◽  
Content Type ◽  
Stakeholder Relationships ◽  
The Cost

Purpose This study aims to examine the link between corporate social performance (CSP) and the cost of capital of Japanese firms in 2008-2013, considering the influences of banking relationships and ownership structure. Design/methodology/approach It examines the relation between CSP and the cost of capital in terms of the cost of debt, cost of equity and weighted average cost of capital, using a composite CSP measure based on stakeholder relationships. A regression model is adopted, controlling for bank dependency, ownership structure and firm-specific attributes. Findings Institutional ownership influences the CSP–cost of equity relation and reduces the cost of equity, while CSP is perceived by debtors as not information-mitigating for the observed period. For 2008-2010, the relation between CSP and bank dependency increases the cost of debt; however, the positive influence of bank dependency on the cost of debt dilutes during 2010-2013 as the shift to a more market-oriented financial market in Japan occurs. Practical implications Although bank borrowing is important, especially for small firms, non-financial disclosure makes external financing more flexible. Institutional investors concerned about the non-financial aspects of business, therefore, play an important role in mitigating the information asymmetry that exists in the capital market. Originality/value This study extends research on the CSP–cost of capital link by considering structural changes in financial systems (e.g. capital market perception of CSP and banks as delegated monitors).

scholarly journals Cost of Capital and Optimal Financing of Corporate Growth of Selected Manufacturing Firms Listed on the Floor of Nigerian Stock Exchange

2019 ◽  
Vol 3 (1) ◽  
pp. 12-23
Author(s):  
Achebelema Damiebi Sam
Keyword(s):  
Average Cost ◽  
Cost Of Capital ◽  
Stock Exchange ◽  
Weighted Average ◽  
Manufacturing Firms ◽  
Debt Financing ◽  
Cost Of Debt ◽  
Cost Of Equity ◽  
Equity Financing ◽  
Negative Effect

This dissertation empirically investigated the relationship between cost of capital and optimal financing of corporate growth of selected manufacturing firms listed on the floor of Nigerian stock exchange. Annual time series data were generated from the Annual Reports of the quoted firms and stock exchange fact book. Fifty manufacturing firms were selected from the population of quoted manufacturing firms.  Four multiple regression models were specified and estimated with the aid of Software package for social services (SPSS). Equity financing measured as equity capital to total capital, debt financing measured as debt capital to total capital and return on investment were modeled as the function of cost of debt, cost of equity and weighted average cost of capital. The generated collinearity diagnostics result shows that the Eigen values that correspond to the highest condition index and variable constant are less than 0.5 rule of thumb. The Durbin Watson test shows absence of auto-correlation. The regression coefficient shows that cost of debt and cost of equity have negative relationship on equity financing while weighted average cost of capital have negative effect, cost of debt and weighted average cost of capital have positive relationship with debt financing while cost of equity have negative effect on the dependent variable. Cost of debt and reweighted average cost of capital have positive effect on return on Investment while cost of equity has negative effect. Model four found that cost of capital have positive relationship with financing mix of the quoted firms. From the model summary, the study conclude that cost of capital have no significant effect on equity financing and return on investment but significantly affect debt financing. It therefore recommends that  Management should formulate internal policy that will enhance the realization of optimal capital structure of the firms, formulating capital structure of the firm should be well examined with the investment policy of the firms, the environmental factors should be acknowledged in formulating cost of capital to avoid risk associated with inadequate or wrong capital structure, external source of capital such as debt should be properly appraised and integrated with the investment policy and cost of equity should be integrated with the objective of maximizing shareholders’ wealth through investment policies.

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%.

Managed earnings, prior cost of capital, and firm location

2019 ◽  
Vol 16 (1) ◽  
pp. 61-82
Author(s):  
Nacasius Ujah Ujah ◽  
Collins E. Okafor
Keyword(s):  
Design Methodology ◽  
Cost Of Capital ◽  
Cost Of Debt ◽  
Firm Location ◽  
Cost Of Equity ◽  
Content Type ◽  
Regression Methods ◽  
Interaction Terms ◽  
Regression Techniques ◽  
Do So

Purpose A seemingly certain commonality in the extant literature is that firms that engage in the practice of managing earnings do so to massage their performance. The purpose of this paper is to examine the pecuniary effect of the prior cost of capital and a firm’s location on the propensity for firms to manage earnings. Design/methodology/approach This study uses longitudinal data for US firms from COMPUSTAT and Center for Research in Security Prices from 1980 to 2010 for an average of 1,627 firms. The authors apply several regression methods – namely: least squares regressions, quantile, interaction-terms, seemingly unrelated and endogeneity test – and come to similar conclusions. Findings The authors find that managed earnings behavior varies depending on the prior cost of capital. Managers positively exacerbate earnings when the firms’ prior cost of debt is high. Managers inverse its exacerbation of earnings when the firms’ prior cost of equity is high. This effect remains the same in all regression techniques applied in this paper. Originality/value The authors contribute to the literature primarily in three areas. First, by considering the effect of a firm’s location jointly on a firm’s prior cost of capital, the authors show that a firm’s environment amplifies the managers’ discretionary actions. Second, by showing that the prior cost of capital which a firm pursues can inundate the managers to pursue and exacerbate earnings. Finally, the evidence suggests that adjustment in previous years for debt obligated firms and that location affects managed earnings behavior.

International Real Estate Review

2015 ◽  
Vol 18 (3) ◽  
pp. 331-364
Author(s):  
George D. Cashman ◽  
◽  
David M. Harrison ◽  
Hainan Sheng ◽  
◽  
...  
Keyword(s):  
Real Estate ◽  
Cost Of Capital ◽  
Political Risk ◽  
Weighted Average ◽  
Asia Pacific ◽  
Cost Of Debt ◽  
Political Rights ◽  
Equity Financing ◽  
The Cost ◽  
The Impact

This study investigates the impact of political risk on the cost of capital for publicly traded real estate firms. More specifically, by using a sample of 102 REITs and listed property trusts, which hold nearly 6,000 distinct investment properties across the Asia-Pacific region, we find strong empirical evidence that increased exposure to political risk increases both the cost of equity financing of a firm and its weighted average cost of capital. Interestingly, no such linkages are apparent between political risk and the cost of debt of a firm. These empirical results are robust to a variety of alternative measures of political risk, including a: 1) political rights index, 2) political change index, and 3) corruption perceptions index.

scholarly journals Possibility of Applying Economic Value Added in the Capital Market of the Republic of Srpska / Mogućnost Primene Dodate Ekonomske Vrednosti Na Tržištu Kapitala U Republici Srpskoj

2013 ◽  
Vol 10 (2) ◽  
pp. 7-18
Author(s):  
Almir Alihodžić
Keyword(s):  
Cost Of Capital ◽  
Economic Value ◽  
Value Added ◽  
Cost Of Debt ◽  
Economic Value Added ◽  
Cost Of Equity ◽  
Market Index ◽  
Debt Capital ◽  
The Republic ◽  
The Cost

Abstract The efficiency of a management team primarily depends on the level of improvement of enterprise performances, i.e. whether its market value has increased or whether it creates value for shareholders. The accounting net profit can provide a partial answer to this question because it covers only one portion of the cost of capital, i.e. the cost of debt capital, while the price and cost of equity are disregarded. The method of the economic value added takes into account an average cost of capital, i.e. it calculates the total costs of borrowed capital and own capital. This paper explores the possibility to calculate economic value added for an individual share within the share market index of BIRS.

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