scholarly journals Credit Market Speculation and the Cost of Capital

2014 ◽  
Vol 6 (4) ◽  
pp. 1-34 ◽  
Author(s):  
Yeon-Koo Che ◽  
Rajiv Sethi
Keyword(s):  
Multiple Equilibria ◽  
Cost Of Capital ◽  
Credit Derivatives ◽  
Credit Market ◽  
Credit Default Swaps ◽  
Cost Of Debt ◽  
Insurable Interest ◽  
Rollover Risk ◽  
Credit Default ◽  
The Cost

We examine the effects of speculation using credit derivatives on the cost of debt and the likelihood of default. The availability of credit default swaps induces investors who are optimistic about borrower revenues to sell protection instead of buying bonds. This benefits borrowers if protection can only be bought with an insurable interest, but can increase the cost of debt and crowd out productive lending if protection can be purchased as a bet on default. We also show that the possibility of speculation on default may cause multiple equilibria and exacerbate the problem of rollover risk. (JEL D86, G13, G31)

Credit Default Swaps and the Cost of Capital

2020 ◽  
Author(s):  
Harjeet Bhabra ◽  
Pascal Francois ◽  
Thomas John Walker ◽  
Chunrong Wang
Keyword(s):  
Cost Of Capital ◽  
Credit Default Swaps ◽  
Credit Default ◽  
The Cost

Credit Default Swaps and Firm Value

2018 ◽  
Vol 53 (3) ◽  
pp. 1227-1259 ◽  
Author(s):  
Rajesh Narayanan ◽  
Cihan Uzmanoglu
Keyword(s):  
Firm Value ◽  
Cost Of Capital ◽  
Credit Default Swaps ◽  
Cash Flows ◽  
Stock Liquidity ◽  
Credit Quality ◽  
Credit Default ◽  
Incremental Information ◽  
The Cost ◽  
Free Cash Flows

This article provides evidence that firm value declines when credit default swaps (CDSs) are initiated and that the effect is greater when CDS trading activity is higher. This decline, which arises from an increase in the cost of capital as opposed to a decrease in free cash flows, traces to a deterioration in the firm’s credit quality and stock liquidity. Firm value declines less when CDS trading is likely to produce incremental information, suggesting that CDS trading has informational benefits for firm value. However, the evidence does not indicate that firm value increases because CDS availability facilitates investments.

PRICING COUNTERPARTY RISK INCLUDING COLLATERALIZATION, NETTING RULES, RE-HYPOTHECATION AND WRONG-WAY RISK

2013 ◽  
Vol 16 (02) ◽  
pp. 1350007 ◽  
Author(s):  
DAMIANO BRIGO ◽  
AGOSTINO CAPPONI ◽  
ANDREA PALLAVICINI ◽  
VASILEIOS PAPATHEODOROU
Keyword(s):  
Interest Rate ◽  
Credit Derivatives ◽  
Credit Default Swaps ◽  
Credit Spread ◽  
Counterparty Risk ◽  
Default Correlation ◽  
Dynamical Models ◽  
Credit Default ◽  
The Impact

This article is concerned with the arbitrage-free valuation of bilateral counterparty risk through stochastic dynamical models when collateral is included, with possible rehypothecation. The payout of claims is modified to account for collateral margining in agreement with International Swap and Derivatives Association (ISDA) documentation. The analysis is specialized to interest-rate and credit derivatives. In particular, credit default swaps are considered to show that a perfect collateralization cannot be achieved under default correlation. Interest rate and credit spread volatilities are fully accounted for, as is the impact of re-hypothecation, collateral margining frequency, and dependencies.

Risk transfer in project finance loans for toll road using credit default swaps

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wei Yang ◽  
Afshin Firouzi ◽  
Chun-Qing Li
Keyword(s):  
Power Law ◽  
Credit Default Swaps ◽  
Free Cash Flow ◽  
Project Finance ◽  
Cost Of Debt ◽  
Power Law Model ◽  
Data Set ◽  
Content Type ◽  
Toll Road ◽  
Credit Default

Purpose The purpose of this paper is to demonstrate the applicability of the Credit Default Swaps (CDS), as a financial instrument, for transferring of risk in project finance loans. Also, an equation has been derived for pricing of CDS spreads. Design/methodology/approach The debt service cover ratio (DSCR) is modeled as a Brownian Motion (BM) with a power-law model fitted to the mean and half-variance of the existing data set of DSCRs. The survival probability of DSCR is calculated during the operational phase of the project finance deal, using a closed-form analytical method, and the results are verified by Monte Carlo simulation (MCS). Findings It is found that using the power-law model yields higher CDS premiums. This in turn confirms the necessity of conducting rigorous statistical analysis in fitting the best performing model as uninformed reliance on constant time-invariant drift and diffusion model can erroneously result in smaller CDS spreads. A sensitivity analysis also shows that the results are very sensitive to the recovery rate and cost of debt values. Originality/value Insufficiency of free cash flow is a major risk in the toll road project finance and hence there is a need to develop innovative financial instruments for risk management. In this paper, a novel valuation method of CDS is proposed assuming that DSCR follows the BM stochastic process.

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 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%.

scholarly journals DETERMINANTS OF INTEREST RATES ON CORPORATE DEBT

2021 ◽  
Vol 4 (39) ◽  
pp. 264-275
Author(s):  
O. Tereshchenko ◽  
M. Stetsko ◽  
N. Tkachenko ◽  
N. Babiak
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Discount Rate ◽  
Cost Of Debt ◽  
Probability Of Default ◽  
Credit Risks ◽  
Debt Capital ◽  
Credit Default ◽  
Rate Calculation ◽  
The Cost

Abstract. The objective of this article is theoretical and methodological justifying of determining algorithm of the cost of debt capital for enterprises functioning in emerging markets (EM). The methods of research: analysis and synthesis, system analysis, comparative analysis, empirical and statistical methods, factor analysis.  Results.  In this article key determinants of interest rates on debt capital for enterprises and their impact on the procedure of discount rate calculation are determined. The issue of the cost of debt calculation of enterprises in condition of absence of complete information concerning systematic and non-systematic crediting risks is studied. Differences between interest rate on the loan fixed in credit agreement and expected by creditors the cost of debt are identified. It is determined that the key factor impacting the deviation level of market value of debt capital from the nominal, and respectively, deviation of the cost of debt from the cost of capital is probability of default (PD). At the minimum values of PD, the contract interest rate corresponds to the rate of cost of debt and it is advisable to use it for discount rate calculation. Critical analysis of alternative methodological approaches of the cost of debt calculation is made. Ways of integrating of market information concerning credit default swaps into the process of expected cost of debt calculation are justified. Factors of shadowing of rates of the cost of debt and ways of reducing of shadow transactions’ level in the credit market are identified. Conclusions. At high PD values, expected by market premium for default risk may exceed the contract interest rate, which necessitates constant monitoring of credit risks and appropriate adaptation of interest rates. In the paper the algorithm of such adaptation are proposed. It is shown that in the case of non-use of interest rates adjustment taking into account changes in PD, CDS and LGD, premium for creditors’ systematic risk can differ significantly from market values of similar enterprises (peer-group), and estimated value of the cost of debt can acquire negative values. Contract (promised) interest rate should be set in such way that the premium for systematic risk of providing debt capital will be at the level of similar companies and does not change significantly as a result of probability of default changes. If in practice the opposite situation occurs, it is the evidence of contract interest rate shadowing, absence of effective system of assessment  and management of credit risks. For solving the problem of interest rate transparency and filling of information gaps concerning PD borrowers in EM countries, should intensify CDS market. Keywords: debt capital, default probability, non-performing loans, credit default swap, credit spread, debt capital premium, shadow economy. JEL Classification E47 Formulas: 16; fig.: 0; tabl.: 3; bibl.: 15.

The effects of audit quality on the costs of capital of firms in Ghana

2018 ◽  
Vol 16 (4) ◽  
pp. 639-659 ◽  
Author(s):  
William Coffie ◽  
Ibrahim Bedi ◽  
Mohammed Amidu
Keyword(s):  
Audit Quality ◽  
Cost Of Capital ◽  
Stock Exchange ◽  
Low Cost ◽  
Cost Of Debt ◽  
Future Research ◽  
Content Type ◽  
Listed Firms ◽  
Financial Firms ◽  
The Cost

PurposeThis paper aims to investigate the effects of audit quality on the cost of capital in Ghana.Design/methodology/approachNon-financial firms listed on the Ghana Stock Exchange (GSE) as well as non-listed firms from the database of Ghana Club 100 were included in the sample. Series are yearly, covering a sample of 40 firms during the six-year period, 2008-2013. The study employed the positivist research paradigm to establish the relationship between audit quality and the cost of capital.FindingsThere is evidence to suggest that the cost of debt and the overall cost of capital of firms in Ghana can be explained by the quality of the external auditors. The results also show that the large size of the board is associated with low cost of debt.Research limitations/implicationsThe fact that the choice of quality measure is based on firm size only and other measurements of audit quality could not be measured. Future research may examine how other approaches to measuring audit quality affect cost of capital.Practical implicationsThe results significant for those charged with assurance and regulation, as well as lenders and managers of companies.Originality/valueThe authors investigate how external auditing quality affects the cost of capital of firms operating in Ghana.

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.

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