Firm financing and growth in the Arab region

This paper documents how firms in Arab countries use equity, corporate bond and syndicated loan markets to obtain financing and grow. Working with a new dataset on issuance activity in domestic and international markets and firm performance, the paper finds that capital raising through these markets has grown rapidly since the early 1990s and involved an increasing number of firms. Whereas the amounts raised in equity and loan markets (relative to gross domestic product) stand well relative to international standards, bond issuance activity lags behind. However, bond financing has gained importance over time. Equity issuances take place primarily in domestic markets, whereas bonds and loans are mostly issued internationally, display long maturities and entail low levels of credit risk. Issuing firms from the Arab region are very large compared to international standards. They also tend to be larger, faster growing and more leveraged than non-issuing firms in Arab countries.     

The default contagion of contingent convertible bonds in financial network

This paper investigates the impact of contingent convertible (CoCo) bonds on systemic risk using Eisenberg-Noe’s financial network method, in which the network is linked by debt relationships. As an efficient method for addressing the problem of “too big to fail,” CoCo bonds have received widespread attention, particularly because the trigger for CoCo bonds is a systemic risk event. Thus, the impact of CoCo bonds on systemic risk needs to be addressed. To solve this problem, we adopt default contagion and loss amplification due to network linkage to measure systemic risk, from which we can ascertain the potential impact on it of CoCo bonds. The results show that CoCo bonds enhance the spillover effect of the issuer’s default; meanwhile, sufficient CoCo bonds partly offset the impact of default contagion from other banks. Furthermore, CoCo bonds enhance the amplification effect of loss due to network linkage, but the amplification effect diminishes after the bankruptcy cost is considered. Finally, the numerical test provides some insight into how the issuance of writedown (WD) bonds influences commercial banks in China. Our study not only offers suggestions to the regulators of CoCo bonds but also contributes to related studies.     

公开发行债券能提高企业创新产出吗？

以2006—2021年我国A股上市公司为样本，探讨了企业首次发行债券如何影响企业的创新水平。研究发现，企业首次公开发行债券能够显著提升企业的创新水平。机制分析结果表明,企业发行债券通过建立替代性融资渠道缓解融资约束，延长整体债务期限，提高信息披露水平这三个路径来提升企业创新水平。进一步研究发现,在控制了企业后续发债行为后，公开发行债券与企业创新的关系仍然存在；相比于公司债，企业首次发行债券种类为中期票据和企业债时，企业创新水平提升更显著；企业首次发行债券时，债券信用评级越高、发行利率越低，对于企业创新水平的提升越显著。研究结论丰富了债券市场经济后果的研究，也为企业创新发展和实现经济高质量发展提供了来自债券市场的建议。     

自愿披露客户信息影响了债券违约风险吗？

以2010—2021年沪深A股上市公司发行的公司债为样本,实证检验了自愿披露客户信息对债券违约风险的影响。研究发现,自愿披露客户信息产生的额外风险加剧了债券违约风险,这种影响在高专有成本和高融资约束的企业中表现更为显著,但企业发行的绿色债券并未受到影响。机制检验表明,经营风险增加和机构投资者持股降低是自愿披露客户信息影响债券违约风险的重要途径。研究表明,企业需要慎重考虑披露客户信息带来的风险,审慎制定信息披露策略。     

Transition matrix models of consumer credit ratings

Although the corporate credit risk literature includes many studies modelling the change in the credit risk of corporate bonds over time, there has been far less analysis of the credit risk for portfolios of consumer loans. However, behavioural scores, which are calculated on a monthly basis by most consumer lenders, are the analogues of ratings in corporate credit risk. Motivated by studies of corporate credit risk, we develop a Markov chain model based on behavioural scores for establishing the credit risk of portfolios of consumer loans. Although such models have been used by lenders to develop models for the Basel Accord, nothing has been published in the literature on them. The model which we suggest differs in many respects from the corporate credit ones based on Markov chains — such as the need for a second order Markov chain, the inclusion of economic variables and the age of the loan. The model is applied using data on a credit card portfolio from a major UK bank.     

EURO CORPORATE BOND RISK FACTORS

This paper investigates the determinants of credit spread changes in euro‐denominated bonds. We adopt a factor model framework, inspired by the credit risk structural approach, as credit spread changes can be easily viewed as an excess return on corporate bonds over Treasury bonds. We try to assess the relative importance of market and idiosyncratic factors as an explanation of movements in credit spreads. We adopt a heterogeneous panel with a multifactor error model and propose a two‐step estimation procedure, which yields consistent estimates of unobserved factors. The analysis is carried out with a panel of monthly redemption yields on a set of corporate bonds for a time span of 3 years. Our results suggest that the euro corporate market is driven by observable and unobservable factors. The unobservable factors are identified through a consistent estimation of individual and common observable effects. The empirical results suggest that an unobserved common factor has a significant role in explaining the systematic changes in credit spreads. However, in contrast to evidence regarding US credit spread changes, it cannot be identified as a market factor. Copyright © 2011 John Wiley & Sons, Ltd.     

Investment decisions and debt financing under information uncertainty

This study examines how information uncertainty influences investment decisions. In contrast to prior studies, which assume no information uncertainty, our model includes a discrepancy in valuing debt between shareholders and debtholders at the time of debt issuance. We derive the values of corporate securities and the optimal investment threshold and coupon under information uncertainty. We show that compared with the absence of information uncertainty, debtholders value debt less than shareholders do, and hence, shareholders should contribute more investment funds. Debt financing restraints due to information uncertainty lead to delayed investment. We find that information uncertainty plays a mitigating role in shareholder-debtholder conflicts over investment policy. Moreover, the information uncertainty costs that shareholders incur increase sharply with the level of information uncertainty.     

审计失败对公司债券发行定价的传染效应——基于共同审计师的视角

审计失败会对客户公司产生负面影响,并且可能波及拥有共同审计师的公司。基于共同审计师视角,选取2007—2022年公司债数据,实证检验审计失败在债券发行定价中的传染效应。研究发现,当发生审计失败后,拥有共同审计师的关联公司债券发行定价显著提高,即审计失败对债券发行定价具有传染效应,经过多种稳健性检验后结论依旧成立。机制检验表明,风险信息传递、低质量会计信息是审计失败产生传染效应的作用机制。进一步研究发现,当聘用学历较高或具有行业专长的审计师、投资者面临风险更小、投资者保护更好时,传染效应有所减弱。     

绿色债券发行能缓解企业债务违约风险吗？——基于多期DID模型的研究

运用理论模型对企业发行不同债券时的差异性情景进行分析,提出企业的绿色债券发行对自身债务违约风险存在抑制效应,并选取2016—2020年1604家上市非金融公司的年度面板数据,基于多期DID模型进行实证检验。研究表明：企业发行绿色债券可以显著降低自身债务违约风险;企业发行绿色债券可以通过缓解融资约束、降低债务融资成本、提高股票流动性和增强绿色声誉这四个渠道降低自身的债务违约风险;外部融资依赖度高、研发支出占比低、信息披露程度高和管理者短视程度低的企业发行绿色债券可以更显著地降低自身债务违约风险。政策上应该进一步引导企业合理发行绿色债券,推动绿色金融的发展。     

Does financing strategy accelerate corporate energy transition? Evidence from green bonds

With energy transition becoming an urgent priority for companies worldwide, practitioners and policymakers are urging them to finance climate-friendly projects. This paper investigates how the issuance of green bonds affects firms' carbon emissions and environmental performance. Our results show that green bond issuance significantly improves firms' overall environmental performance and their capacities to create new environmental technologies and processes. However, green bond issuance has a less clear effect on carbon emissions intensity and requires additional time (one or more years) before being able to improve the emissions intensity. Taken together, our study's findings clearly highlight the importance of green bonds in financing energy transition in the corporate sector and provide evidence to encourage policymakers to strengthen the legal framework relating to their issuance.     

从信用通道改善中国宏观经济政策效率

运用信用传导理论,我们认为:宏观信用状况对经济周期具有的良好的指示剂功能;信用作为经济体系的内部通道,将作用于宏观经济运行,改变其速率和效果;同时,调控信用管理系统将能够改善和影响宏观经济的发展和变化。中国经济的货币政策弱效性问题利用信用通道传导机制可以得到很好的解释。在中国资本市场的不完善、信息不对称以及长期形成的强银行信贷结构加剧了信用通道的作用效力。因此,从信用传导理论的角度对中国经济政策进行检讨和改善,才能真正制定出行之有效的宏观经济政策,从而缓解当前通货紧缩压力,使经济体系进入良性运行轨道。     

Realized jumps on financial markets and predicting credit spreads

This paper extends the jump detection method based on bipower variation to identify realized jumps on financial markets and to estimate parametrically the jump intensity, mean, and variance. Finite sample evidence suggests that the jump parameters can be accurately estimated and that the statistical inferences are reliable under the assumption that jumps are rare and large. Applications to equity market, treasury bond, and exchange rate data reveal important differences in jump frequencies and volatilities across asset classes over time. For investment grade bond spread indices, the estimated jump volatility has more forecasting power than interest rate factors and volatility factors including option-implied volatility, with control for systematic risk factors. The jump volatility risk factor seems to capture the low frequency movements in credit spreads and comoves countercyclically with the price–dividend ratio and corporate default rate.     

Stability in consumer credit scores: Level and direction of FICO score drift as a precursor to mortgage default and prepayment

This article represents an extension of the expansive credit risk and credit migration literature, prominent in the corporate bond and securities risk pricing literature, to an analysis of the drift of consumer credit scores. A rich data set of residential mortgages is used to observe credit score migration post loan origination and in a test of the ability of credit score transition to serve as a precursor to potential default and prepayment. The results indicate credit scores provide signals and information to investors and servicing agents in a fashion similar to credit ratings on commercial paper as to default potential.     

CONVERTIBLE BOND PRICING MODELS

Convertible bonds are an important segment of the corporate bond market, with worldwide outstandings approaching US$235 billion. Simple pricing models value a convertible bond as being equivalent to a straight bond with an embedded option that enables the bond holder to convert to a specific amount of common stock. The straight bond is subject to both interest rate and credit risk, whereas the option to convert is dependent on the underlying stock price, which exposes the convertible bond holder to equity risk. The complexity of these features means that convertible bonds tend to be treated casually in major derivatives and corporate finance textbooks. This paper presents a survey of the theoretical and empirical aspects of convertible bond pricing. The limitations of these studies are highlighted to identify those areas of research that may improve the valuation process and facilitate the application of these securities for corporate financing.     

Interactive effects of brand reputation and ESG on green bond issues: A sustainable development perspective

This paper shows that brand reputation alone may not be sufficient to help firms successfully issue green bonds and that they may need superior corporate social responsibility performance in the form of high ESG (Environmental, Social, and Governance) scores to unlock the full potential of their brand reputation. Using a sample of 338 international green bond issues across 108 unique firms, we found significant positive effects of ESG disclosure score and its interaction brand reputation on the issuance of green bonds while controlling for other variables, such as fixed effects of industry, region, and time. We also show that it is the S (Social) component of ESG and the interactions of its E (Environmental) and G (Governance) components with brand reputation which drive successful green bond issuance. Besides extending the current research on the impact of brand reputation and ESG on green bonds, these results also have important managerial implications for analysts, fund managers, and firms planning to raise green capital.     

Premia for correlated default risk

Using data on corporate default experience in the U.S. and market rates of CDX index and tranche swaps of various maturities, we estimate reduced-form models of correlated default timing in the CDX High Yield and Investment Grade portfolios under actual and risk-neutral probabilities. The striking contrast between the estimated processes followed by the actual and risk-neutral arrival intensities of defaults, and between the parameters governing the actual and risk-neutral dynamics of the risk-neutral intensities, indicates the presence of substantial default risk premia in CDX swap market rates. The effects of risk premia on swap rates covary strongly across maturities, and depend on general stock market volatility and several measures of credit spreads. Large moves in the effects of these premia on swap rates have natural interpretations in terms of economic and financial market developments during the sample period, April 2004 to October 2007. Our results suggest that a large portion of the movements in CDX swap market rates observed during the sample period may be caused by changing attitudes toward correlated default risk rather than changes in the economic factors affecting the actual risk of clustered defaults, which ultimately governs swap payoffs.     

The pricing of credit risk derivatives

This paper considers the pricing of derivatives that protect holders of corporate bonds from a reduction in their value because of a deterioration in their credit quality. These derivatives are structured as either puts on the bond price or calls on the bond spread (above the risk free rate) in the context of models developed by Merton (1974) and Black and Cox (1976). The pricing properties of these options are derived using both analytical and numerical methods.     

信息不完全的信用风险定价模型及其在我国的应用

基于信息不完全的信用风险定价模型与传统的结构化模型和约化模型的最大区别在于它将信息不完全这一前提引入了以信息完全为前提的结构化模型,同时它又考虑了约化模型中强度的优点,引入短期信用风险的度量,成为当前最切合现实的信用风险定价模型。本文认为,应用基于信息不完全的信用风险定价模型来测度信用风险,将具有十分重要的现实意义。     

Financial innovation and bank behavior: Evidence from credit markets

This paper investigates whether, and through which channel, the active use of credit derivatives changes bank behavior in the credit market, and how this channel was affected by the crisis of 2007–2009. Our principal finding is that banks with larger gross positions in credit derivatives charge significantly lower corporate loan spreads, while banks׳ net positions are not consistently related to loan pricing. We argue that this is consistent with banks passing on risk management benefits to corporate borrowers but not with alternative channels through which credit derivative use may affect loan pricing. We also find that the magnitude of the risk management effect remained unchanged during the crisis period of 2007–2009. In addition, banks with larger gross positions in credit derivatives cut their lending by less than other banks during the crisis and have consistently lower loan charge-offs. In sum, our study is suggestive of significant risk management benefits from financial innovations that persist under adverse conditions – that is, when they matter most.     

Measuring Credit Risk of a Bank's Corporate Loan Portfolio Using Advanced Internal Ratings Base Approach

Abstract

The use of technical and advanced approaches in the measurement of credit risk of banks' portfolios has nowadays become a very hot issue. The most recent technical report issued by the Basel Committee in May 2003 has concentrated heavily on the measurement of credit risk using either foundation or advanced Internal Ratings Base (IRB) approaches. This empirical research study attempts to measure credit risk of a bank's corporate loan portfolio, including firms from 10 different Turkish sectors. The monthly observations of the total amount of corporate loans and the total amount of corporate loans at default across various sectors are downloaded from the web page of Central Bank of Turkey (CBT) in a period of 1999-2002. This period covers 47 monthly observations since CBT has captured sectoral corporate loans beginning of 1999. Therefore, the observed sectoral default rates are needed to be simulated to obtain a nicely shaped distribution. Monte Carlo simulation is applied for 1,000 times. Based on the simulated default rates, the expected sectoral default rates are computed. Next, a credit quality rating scale is fitted into sectoral default rates distributions. Finally, the sectoral weights in the whole loan portfolio are multiplied by the expected sectoral default rates matrix, considering cross-sectoral correlations to get the total amount of the bank's credit risk and capital requirement. It is assumed that sectoral monthly default rates are a good representative of the default risk of a sample bank's corporate loan portfolio since no publicly available data on any particular bank's corporate loan portfolio composition exists. Nevertheless, this research may be a good application for measuring the credit risk of banks' corporate loan portfolios using advanced IRB approach.