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 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%.

The impact of leverage on the cost of capital and market value

2020 ◽  
Vol 43 (9) ◽  
pp. 1081-1096 ◽  
Author(s):  
Enrico Battisti ◽  
Luigi Bollani ◽  
Nicola Miglietta ◽  
Antonio Salvi
Keyword(s):  
Cost Of Capital ◽  
Stock Exchange ◽  
Weighted Average ◽  
Principal Component ◽  
Market Value ◽  
Listed Companies ◽  
Content Type ◽  
Operating Profit ◽  
The Cost ◽  
The Impact

Purpose This paper aims to investigate the impact of leverage on the cost of capital and market value in the Indonesia Stock Exchange (IDX), where there are Sharīʿah and non-Sharīʿah compliant firms. Design/methodology/approach This study uses a mixed methods sequential exploratory design and is based on an empirical analysis undertaken with a sample of firms listed on the IDX. In particular, a qualitative analysis was conducted to identify the Sharīʿah-compliant firms and the qualitative study was designed to compare some financial elements in Sharīʿah and non-Sharīʿah compliant listed companies. The correlations among the main elements observed are considered and a principal component analysis describes the framework. Findings First, the results of the analysis show that for the Sharīʿah-compliant companies, identified as those that apply Islamic principles, the lower level of leverage that it is typical of these type of firms implies a higher cost of capital [cost of equity and weighted average cost of capital (WACC)] than non-Sharīʿah ones. Secondly, for the Sharīʿah-compliant companies, the lower level of leverage entails a higher market value measured by the multiples method (price/earning and enterprise value/operating profit) than for non-Sharīʿah ones. Originality/value This paper sheds new light on how leverage can affect the cost of capital and market value in the case of Sharīʿah and non-Sharīʿah compliant listed companies in the IDX. In particular, this research highlights the fact that Sharīʿah-compliant firms, despite having a higher WACC, create more market value compared to non-Sharīʿah compliant ones.

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.

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 Multinationality, Capital Structure, and Cost of Capital of Non-Financial Firm Listed on Indonesia Stock Exchange

2020 ◽  
Vol 3 (2) ◽  
pp. 146-159
Author(s):  
Rezza Vitriya
Keyword(s):  
Capital Structure ◽  
Multinational Firms ◽  
Cost Of Capital ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Cost Of Debt ◽  
Multinational Firm ◽  
Domestic Firms ◽  
The Cost ◽  
The Impact

Multinational firms are firm that do business internationally, the higher degree of multinationality of a firm, they have more ability to get greater funding because there are more chances to get funding from foreign country. Because of that condition, multinational firms have different cost of capital with domestic firms. The main purpose of this study is to understand the impact of degree of multinationality, capital structure, firm size, profitability and growth opportunity to cost of capital. Panel data is used on this research and multiple linear regression analysis is used as analytical model. The result suggest that Indonesia multinational firms have lower cost of capital, cost of equity, and cost of debt than Indonesia domestic firms. The study found that capital structure is negatively related to cost of capital, this means that Indonesia multinational firm use more debt than Indonesia domestic firms, and so lower the cost of debt after tax and hence the cost of capital.

Pass-through of Change in Policy Interest Rate to Market Rates

2008 ◽  
Vol 47 (4II) ◽  
pp. 661-674
Author(s):  
M. Idrees Khawaja ◽  
Sajawal Khan
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Pass Through ◽  
The Cost ◽  
Lag Structure ◽  
The Impact ◽  
Effectiveness Of Monetary Policy ◽  
Policy Interest

Monetary policy has been aggressively used by the central Bank of Pakistan, in this decade, first to bolster growth and then to contain rampant inflation. Despite the sufficiently tight monetary policy that has remained in vogue in recent times, the inflation is still around 20 percent. This has raised questions about the effectiveness of monetary policy. One possible reason for the lesser effectiveness, if not failure, of monetary policy in taming inflation could be that in recent times, inflation was primarily supply driven and that the monetary tightening was in part offset by fiscal expansion, on the back of heavy bank borrowing by the government. However one cannot rule out the possibility that market imperfections might have also impeded the effectiveness of monetary policy in taming inflation to the desired extent. Incomplete and slow pass through of changes in policy interest rate to deposit rate and lending rate is a kind of imperfection that constrains the effectiveness of monetary policy. This study examines the pass through of policy interest rate to different market rates. Monetary theory predicts that the change in policy interest rate influences the cost capital which in turn influences consumption, savings, investments, and hence output. However if the impact of the change in policy rate on the cost of capital is less than one for one or if the change in policy rate fails to influence the cost capital immediately then the impact on output would become visible only with a certain lag and the impact would be less than one for one. This implies that if for example only 70 percent of the change in policy rate is passed on to cost of capital, then to manage an increase of 100 basis points in cost capital the policy rate should be raised by 143 basis points. This example serves to emphasise that for effective monetary management knowledge of the magnitude of passthrough of policy rate and the lag structure with which the policy rate influences cost of capital is important. Substantive empirical evidence confirms that changes in policy interest rate are transmitted to the output with a certain lag and that the pass-through of changes in policy rate to output or to other elements of the transmission channel may be less than one for one. Given the policy implications of the information, on the magnitude of pass through and the lag structure with which the policy rate influences different market rates, this Paper seeks to measure the pass-through of the changes in six month Treasury bill rate to six month KIBOR, six month weighted average deposit rate and weighted average lending rate. The study is focused on Pakistan.

Carbon emissions and the cost of capital: Australian evidence

2014 ◽  
Vol 13 (4) ◽  
pp. 400-420 ◽  
Author(s):  
Yongqing Li ◽  
Ian Eddie ◽  
Jinghui Liu
Keyword(s):  
Carbon Emissions ◽  
Emission Intensity ◽  
Carbon Emission ◽  
Cost Of Capital ◽  
Cost Of Debt ◽  
Emissions Reduction ◽  
Cost Of Equity ◽  
Content Type ◽  
The Cost ◽  
The Impact

Purpose – The purpose of this paper is to investigate the potential impact of the approved Australian carbon emissions reduction plan on the cost of capital and the association between companies’ carbon emission intensity and the cost of capital. Design/methodology/approach – A sample of Australian Stock Exchange 200 (ASX 200)-indexed companies from 2006 to 2010 is used. Hypotheses are tested based on Heckman’s two-stage approach. Three regression models are developed to examine the association between carbon emissions and the cost of capital. Findings – Using a sample of ASX 200-indexed listed companies, the paper finds that the cost of capital, including the cost of debt and the cost of equity, will increase for emissions-liable companies. Results also show that the cost of debt is positively correlated with a company’s emission intensity. However, little evidence supports that the emission intensity affects the cost of equity. Originality/value – As it is evident that the emissions reduction plan will adversely affect corporate entities’ cost of capital, this study suggests that companies, investors and lenders need to include carbon emission in risk analysis. An emissions-liable company should establish strategies to combat the impact of the Plan on rising cost that comes with the enforcement of the Plan. Government assistance is essential in the transitional period.

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