scholarly journals International Real Estate Review

2011 ◽  
Vol 14 (1) ◽  
pp. 1-26
Author(s):  
Jyh-Bang Jou ◽  
◽  
Tan (Charlene) Lee ◽  

This article employs a real options approach to investigate the determinants of an optimal capital structure in real estate investment. An investor has the option to delay the purchase of an income-producing property because the investor incurs sunk transaction costs and receives stochastic rental income. At the date of purchase, the investor also chooses a loan-to-value ratio, which balances the tax shield benefit against the cost of debt financing resulting from a higher borrowing rate and a lower rental income. An increase in the sunk cost or the risk of investment will not affect the financing decision, but will delay investment. An increase in the income tax rate or a decrease in the depreciation allowance will encourage borrowing and delay investment, while an increase in the penalty from borrowing, a decrease in the investor's required rate of return, or worse real estate performance through borrowing, will discourage borrowing and delay investment.

2020 ◽  
Vol 12 (2) ◽  
pp. 45
Author(s):  
Ignacio Vélez-Pareja ◽  
Joseph Tham ◽  
Viviana Fernández

When discounting free-cash flows (FCF) at the Weighted Average Cost of Capital (WACC), we assume that the cost of debt is the market, unsubsidized rate. With debt at the market rate and perfect capital markets, debt only creates value in the presence of taxes through the tax shield. In some cases, the firm may be able to obtain a loan at a rate that is below the market rate. With subsidized debt and taxes, there would be a benefit to debt financing, and the unleveraged and leveraged values of the cash flows would differ. The benefit of lower tax savings are offset by the benefit of the subsidy. These two benefits have to be introduced explicitly. In this article, we present the necessary adjustments to the WACC and the cost of leveraged equity under the existence of subsidized debt and taxes in a multiple-period setting. We analyze the cases of the WACC applied to the FCF and the WACC applied to the capital-cash flows (CCF). We also utilize the Adjusted Present Value (APV) to consider both the tax savings and the subsidy. We show that all these different approaches give the same answer.


GIS Business ◽  
1970 ◽  
Vol 13 (3) ◽  
pp. 31-40
Author(s):  
Austin Murphy

This paper develops a precise method of estimating the cost of debt to a firm that is based on standard financial theories and empirical evidence on default risk and financial distress costs. An analysis with current data on the S&P 500 demonstrates that the capital structures of large firms are consistent with the model’s simple implications.


Author(s):  
Nicola Raimo ◽  
Alessandra Caragnano ◽  
Marianna Zito ◽  
Filippo Vitolla ◽  
Massimo Mariani
Keyword(s):  

2016 ◽  
Vol 3 (2) ◽  
pp. 113
Author(s):  
Nining Purwanti

The aim of the research is to analyze tax avoidance behavior to cost of debt moderated by tax rates changes, on manufacturing company in Indonesia in 2008-2010. Panel data analysis is used in this research. In this study usingbook tax gap to measure tax avoidance and using the models used by Lim (2010), Dwi Martani (2011) and Widya Sartika (2012) to meansure cost of debt. The study find that tax avoidance has negative influence on cost of debt. Tax avoidance creates a risk thereby increasing the cost of debt. In the period before tax rate reduction the influence of tax avoidance on cost of debt smaller compare after period of tax reduction, this indicates the presence of earning management conducted by the company before tax rate reduction.


2020 ◽  
Vol 10 (4) ◽  
pp. 473-496
Author(s):  
Hongling Guo ◽  
Keping Wu

PurposeThis study aims to investigate how opening high-speed railways affects the cost of debt financing based on China's background.Design/methodology/approachUsing panel data on Chinese listed firms from 2008 to 2017, this study constructs a quasi-natural experiment and adopts a difference-in-difference model with multiple time periods to empirically examine the relation between the high-speed railway openings and debt financing cost.FindingsOur results show that opening high-speed railways reduces the cost of debt financing, and this negative correlation is more significant in non-state firms, firms with weaker internal control, and firms that hire non-Big Four auditors. Besides, we explore the impact mechanisms and find that opening high-speed railways improves analyst attention, institutional investor participation, and information disclosure quality, which in turn lowers the cost of debt financing.Research limitations/implicationsThe results imply that the opening of high-speed railways helps to alleviate the information asymmetry and adverse selection between firms and creditors and ultimately reduces the cost of corporate debt financing.Practical implicationsThis paper can inform firms and stakeholders about the impact of opening high-speed railways on debt financing cost: it improves the information environment, reduces the geographical location restrictions of debt financing, ensures the reasonable pricing of corporate debt, and thus promotes the healthy and sound development of the debt market.Originality/valueThis paper provides theoretical support and empirical evidence for the impact of infrastructure construction on the information environment of the debt market in China, which enriches the research on the “high-speed railway economy.” In addition, as an exogenous event, the opening of high-speed railways instantly shortens the time distance between firms and external stakeholders, which gives us a natural environment to conduct empirical research, thus providing a new perspective for financial research on firms' geographical location.


2009 ◽  
Vol 10 (6) ◽  
pp. 101-131 ◽  
Author(s):  
Ignacio Vélez-Pareja ◽  
Joseph Tham

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.


2020 ◽  
Vol 12 (8) ◽  
pp. 3456 ◽  
Author(s):  
Ga-Young Jang ◽  
Hyoung-Goo Kang ◽  
Ju-Yeong Lee ◽  
Kyounghun Bae

This study analyzes the relationship between Environmental, Social and Governance (ESG) scores and bond returns using the corporate bond data in Korea during the period of 2010 to 2015. We find that ESG scores include valuable information about the downside risk of firms. This effect is particularly salient for the firms with high information asymmetry such as small firms. Interestingly, of the three ESG criteria, only environmental scores show a significant impact on bond returns when interacted with the firm size, suggesting that high environmental scores lower the cost of debt financing for small firms. Finally, ESG is complementary to credit ratings in assessing credit quality as credit ratings cannot explain away ESG effects in predicting future bond returns. This result suggests that credit rating agencies should either integrate ESG scores into their current rating process or produce separate ESG scores which bond investors integrate with the existing credit ratings by themselves.


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