Corporate bond default risk: A 150-year perspective

We study corporate bond default rates using an extensive new data set spanning the 1866-2008 period. We find that the corporate bond market has repeatedly suffered clustered default events much worse than those experienced during the Great Depression. For example, during the railroad crisis of 1873-1875, total defaults amounted to 36% of the par value of the entire corporate bond market. Using a regime-switching model, we examine the extent to which default rates can be forecast by financial and macroeconomic variables. We find that stock returns, stock return volatility, and changes in GDP are strong predictors of default rates. Surprisingly, however, credit spreads are not. Over the long term, credit spreads are roughly twice as large as default losses, resulting in an average credit risk premium of about 80 basis points. We also find that credit spreads do not adjust in response to realized default rates.     

Exploring the components of credit risk in credit default swaps

In this paper, we test the influence of various fundamental variables on the pricing of credit default swaps. The theoretical determinants that are important for pricing credit default swaps include the risk-free rate, industry sector, credit rating, and liquidity factors. We suggest a linear regression model containing these different variables, especially focusing on liquidity factors. Unlike bond spreads which have been shown to be inversely related to liquidity (i.e., the greater the liquidity, the lower the spread), there is no a priori reason that the credit default swap spread should exhibit the same relationship. This is due to the economic characteristics of a credit default swap compared to a bond. Our empirical result shows that all the fundamental variables investigated have a significant effect on the credit default swap spread. Moreover, our findings suggest that credit default swaps that trade with greater liquidity have a wider credit default swap spread.     

Macroeconomic Conditions, Firm Characteristics, and Credit Spreads

We study a structural model that allows us to examine how credit spreads are affected by the interaction of macroeconomic conditions and firm characteristics. Unlike most other structural models, our model explicitly incorporates equilibrium macroeconomic dynamics and models a firm's cash flow as primitive processes. Corporate securities are priced as contingent claims written on cash flows. Default occurs when the firm's cash flow cannot cover the interest payments and the recovery rate is dependent on the economic condition at default. Our model produces the following predictions: (i) credit spread is mostly negatively correlated with interest rate; (ii) credit spread yield curves are upward sloping for low-grade bonds; (iii) firm characteristics have significant effects on credit spreads and these effects also vary with economic conditions. These predictions are consistent with the available empirical evidence and generate implications for further empirical investigation.     

Determinants of yield spread dynamics: Euro versus US dollar corporate bonds

This paper presents a systematic comparison between the determinants of euro and US dollar yield spread dynamics. The results show that US dollar yield spreads are significantly more affected by changes in the level and the slope of the default-free term structure and the stock market return and volatility. Surprisingly, euro yield spreads are strongly affected by the US (and not the euro) level and slope. This confirms the dominance of US interest rates in the corporate bond markets. Interestingly, I find that liquidity risk is higher for US dollar corporate bonds than euro corporate bonds. For both regions, the effect of changes in the bid-ask spread is mainly significant during periods of high liquidity risk. Finally, the results indicate that the credit cycle as measured by the region-specific default probability significantly increases US yield spreads. This is not the case for euro yield spreads.     

Credit derivatives and loan pricing

This paper examines the relation between the new markets for credit default swaps (CDS) and banks’ pricing of syndicated loans to US corporates. We find that changes in CDS spreads have a significantly positive coefficient and explain about 25% of subsequent monthly changes in aggregate loan spreads during 2000–2005. Moreover, when compared to traditional explanatory factors, they turn out to be the dominant determinant of loan spreads. In particular, they explain loan rates much better than same rated bonds. This suggests that CDS prices contain, beyond general credit risk, to a substantial extent information relevant for bank lending. We also find that, over time, new information from CDS markets is faster incorporated into loans, but information from other markets is not. Overall, our results indicate that the markets for CDS have gained an important role for banks.     

Do significant risk warnings in annual reports increase corporate bond credit spreads? Evidence from China

Based on listed companies issuing bonds on the Shanghai and Shenzhen Stock Exchanges from 2007 to 2017, this study analyzes the relationship between significant risk warnings in Chinese companies’ annual reports and corporate bond credit spreads. The main findings are as follows. First, in the Chinese market, “substantial warnings of significant risks” can significantly improve corporate bond credit spreads, reflecting the risk-warning effect; second, state-owned property rights weaken this effect, which only pertains to listed companies with poor risk management and low information quality; third, significant risk warnings increase investors’ heterogeneous beliefs, also affecting credit spreads; and fourth, through textual analysis, it is found that the corporate bond credit spread is greater when the disclosed risk factors are more pessimistic and less similar to those of the previous year. The findings of this paper help to enrich the literature on credit spreads and risk disclosure.     

Individual stock-option prices and credit spreads

This paper introduces measures of volatility and jump risk that are based on individual stock options to explain credit spreads on corporate bonds. Implied volatilities of individual options are shown to contain useful information for credit spreads and improve on historical volatilities when explaining the cross-sectional and time-series variation in a panel of corporate bond spreads. Both the level of individual implied volatilities and (to a lesser extent) the implied-volatility skew matter for credit spreads. Detailed principal component analysis shows that a large part of the time-series variation in credit spreads can be explained in this way.     

Modelling multiple term structures of defaultable bonds with common and idiosyncratic state variables

In this paper we develop a multi-factor “reduced-form” model that is general enough to capture simultaneously the dynamics of multiple term structures of corporate bonds, each with a different credit rating. In this way, we are able to fully incorporate a number of “stylised facts”, reported on a number of previous empirical studies. More specifically, we are able to estimate the different degrees of covariation between the term structure of each credit rating and the default-free yield curve. Furthermore, we report the differing sensitivities of the credit curves to a number of observable macro-factors that reflect changes in credit conditions, both domestic and international. Finally, the dependence of each credit curve on a number of idiosyncratic state-variables is also documented. Our results are based on two special cases of the model, estimated using US and UK corporate bond data.     

Lemmings in the bond market? An empirical analysis of the term structure of credit spreads

The paper examines the credit spread between government and corporate bonds at different maturities. Theoretical models assume that credit risk premiums for high quality firms monotonously increase with maturity. We find evidence suggesting that bonds issued at maturities attracting the highest issuance volumes tend to have credit risk premiums that are on average 10 to 15 basis points higher than issues at nonconventional maturities. These results point out a shortcoming of existing theoretical models and show that the credit yield curve is not smooth, but affected by the local supply of issues at various parts of the yield curve. In addition, the empirical evidence presented in this paper indicates that firms utilizing the bond markets for funding could lower their funding costs by shifting the term of their debt away from the most commonly targeted maturities.

构筑我国商业银行现代化信贷风险管理体系

文章从完善信贷管理组织结构入手 ,遵循系统性原则、权责一致原则和效率原则 ,建议对我国商业银行内部信贷组织构架应作具体的调整 :建立“信贷政策决策委员会”、完善“贷款审批制”、建立“信贷执行官负责制”和“成立风险检查部门”。在此基础上加强其他四项措施的落实 ,从而对我国商业银行信贷风险就能得到有效的控制     

The price of carbon risk: Evidence from China’s bond market

Using a 2009–2019 sample of Chinese bond issuers, we examine the effect of carbon risk on bond financing costs. Relative to low carbon risk issuers, high carbon risk issuers have substantially larger bond credit spreads, mainly because their credit risk is greater and they invest the funds in non-green projects. This positive relationship is more pronounced for issuers with financing constraints, those not making a green transition and those in cities with stringent environmental regulations. We find a reversed effect during the COVID-19 pandemic. However, China’s carbon peak and carbon neutral goals have renewed the focus on carbon risk. Carbon risk also causes bond issuers to scale back production and negatively affects their likelihood of receiving long-term financial support. Our findings suggest that investors consider carbon risk and charge a corresponding risk premium.     

Warrant price responses to credit spread changes: Fact or fiction?

We use a new approach to analyze the relationship between warrant prices and issuers’ credit spreads. This approach allows us to gain insights into whether issuers use their credit risk systematically to increase their profits. In a post‐Lehman sample, we find strong support for a systematic use since issuers decrease prices less after cred it spread increases than they increase prices after credit spread decreases. Credit spread decreases are accompanied by price increases on several successive days. This sluggish adjustment in prices can be explained by the fact that retail investors’ purchase decisions depend on product prices.     

Performance and determinants of the Merton structural model: Evidence from hedging coefficients

We empirically test the effectiveness of the Merton (1974) model in measuring the sensitivity of corporate bond returns to changes in equity value. We study the main variables that affect the performance of the model and relax the assumption of normally distributed rates of return. Results show that less than 6% of the bonds have a hedge ratio within 10% from the model predicted value. Volatility, time to maturity, size, distress, liquidity and information quality are found to be significant determinants of the efficacy of the model.     

Financial stability and Basel II

The Basel II Advanced Internal Ratings (AIRB) approach is compared to capital requirements set using an equilibrium structural credit risk model. Analysis shows the AIRB approach undercapitalizes credit risk relative to regulatory targets and allows wide variation in capital requirements for a given exposure owing to ambiguity in the definitions of loss given default and exposure at default. In contrast, the Foundation Internal Ratings Based (FIRB) approach may over-capitalize credit risk relative to supervisory objectives. It is unclear how Basel II will buttress financial sector stability as it specifies the weakest regulatory capital standard for large complex AIRB banks.      

What influences banks’ choice of credit risk management practices? Theory and evidence

Banks use different risk management practices with varying levels of sophistication. This paper examines the factors that determine the choice of risk-management practices. In a theoretical model, we identify two main determinants for the choice of risk management tools: bank competition and sector concentration in the loan market. We empirically test the predictions of our model using hand-collected data on the credit risk management of 249 German savings banks. The results are in line with our theory: Competition pushes banks to implement advanced risk management practices. Sector concentration in the loan market promotes credit portfolio modeling, but it inhibits credit risk transfer.     

Recent Developments in Credit Markets

We summarize recent developments in the credit derivative markets. We show the role of dependence between individual debtors in portfolio derivatives in a study of implied correlation. The risk of changing dependence structures between stock and bond markets becomes evident in an example of capital structure arbitrage. How credit derivatives can introduce new risks is illustrated by the example of “overlay” in basket derivatives.