Modelling bonds and credit default swaps using a structural model with contagion

In this study, we empirically investigate the relationship between credit default swap (CDS) spreads and financial market indicators belonging to bond, equity, and foreign exchange markets for the selected emerging market countries. This study has several findings. The empirical results suggest that the CDS spreads have a cointegrating relationship with the remaining financial market indicators for the whole sample. Another finding that deserves particular attention is that in the long run, the CDS spread is negatively related with the CDS market uncertainties. We argue that this negative relationship indicates low liquidity in the elevated uncertainty, which decreases CDS prices. The time-varying effects of each variable on the CDS spread are in line with the results obtained from the cointegration analyses. These findings have several implications for investors and policymakers in emerging market countries.

Credit default swap (CDS) spreads measure the default risk of the reference entity and have been frequently used in recent empirical papers. To provide a rigorous econometrics foundation for empirical CDS analysis, this paper applies the augmented Dickey–Fuller, Phillips–Perron, Kwiatkowski–Phillips–Schmidt–Shin, and Ng–Perron tests to study the unit root property of CDS spreads, and it uses the Phillips–Ouliaris–Hansen tests to determine whether they are cointegrated. The empirical sample consists of daily CDS spreads of the six large U.S. banks from 2001 to 2018. The main findings are that it is log, not raw, CDS spreads that are unit root processes, and that log CDS spreads are cointegrated. These findings imply that, even though the risks of individual banks may deviate from each other in the short run, there is a long-run relation that ties them together. As these CDS spreads are an important input for financial systemic risk, there are at least two policy implications. First, in monitoring systemic risk, policymakers should focus on long-run trends rather than short-run fluctuations of CDS spreads. Second, in controlling systemic risk, policy measures that reduce the long-run risks of individual banks, such as stress testing and capital buffers, are helpful in mitigating overall systemic risk.

This article establishes an original methodology to forecast macroeconomy based on the term structure of credit spreads. It combines the traditional Svensson model with genetic algorithms to obtain the interest rate term structures of government bonds and corporate bonds and calculates credit spreads as their differences. And this article defines three factors of the term structure of credit spreads: level, slope and curvature. Based on these three factors and several macroeconomic variables, VAR models are developed and tested to forecast macroeconomic variables. The empirical results confirm that VAR models can predict the changes of China's macroeconomy well, which indicates that the term structure of credit spreads contains information of future changes of macroeconomic variables. We believe this result has significant implications for macroeconomy policy-makers.

In times of distress when a country loses access to markets, there is evidence that credit default swap (CDS) spreads are a leading indicator for sovereign risk than the EMBI+ sub-index for the country. However, it is not easy to discern the variables that determine the level of CDS spreads in Emerging Markets (EM); traders only quote the CDS spreads and not the inputs that are required to calculate such spreads. This note provides some evidence from Argentina and Brazil that reveals inconsistency between theory and practice in pricing CDS spreads in EM. This note suggests an alternate methodology that links CTD (cheapest-to-deliver) bonds to recovery values assumed in CDS contracts. Furthermore, special features that pertain to CDS contracts (repo specialness, short squeezes by central banks) may also magnify the financial distress of a sovereign.

Sovereign credit default swap (CDS) spreads exhibit strong co-movements across Asian countries and regions, including both emerging and developed economies. After controlling for global impacts, we examine the regional lead-lag relationships among changes in ten Asian sovereign CDS spreads. We use the pairwise Granger causality test to find that lagged changes in Kazakhstan’s sovereign CDS spreads significantly predict changes in other Asian sovereign CDS spreads. By estimating the news-diffusion model, we find evidence that this predictive relationship may be explained by information diffusion. Furthermore, we find that lagged changes in Kazakhstan’s CDS spreads have significant out-of-sample predictive power for other Asian economies, providing practical implications for sustainable investments and risk management.

The paper examines global impact of 2010 German short sale ban on sovereign credit default swap (CDS) spreads, volatility, and liquidity across 54 countries. We find that CDS spreads continue rising after the ban in the debt crisis region, which suggests that the short selling ban is incapable of suppressing soaring borrowing costs in these countries. However, we find that the ban helps stabilize the CDS market by reducing CDS volatility. The reduction in CDS volatility is greater in the eurozone than that in the non‐eurozone. Furthermore, we find that the CDS market liquidity has been impaired during the ban for the PIIGS (Portugal, Ireland, Italy, Greece, and Spain) countries. In contrast, there are no dramatic changes in the market liquidity for non‐PIIGS eurozone and non‐eurozone samples. The findings suggest that the short sale ban is ineffective to reduce sovereign borrowing costs in the debt crisis region if the underlying economy has not been significantly improved.

Credit risk, valuation and fundamental analysis

Skewed Credit Markets

How did the Greek credit event impact the credit default swap market?

Credit risk pricing is perhaps an understudied topic in comparisons to its profound impact on the world’s financial markets and economies. This study uses established price discovery techniques to develop a method of price discovery for credit risk in three financial markets: equity, debt, and credit derivative. This chapter is motivated by the development of credit-related instruments and signals of stock price movements of South-Eastern European countries—Bulgaria, Croatia, Greece, Hungary, Romania, Slovenia, Slovakia, and Turkey—during the recent financial crisis. In this study, the authors evaluate the dynamics of fiscal risk or country risk measured by sovereign Credit Default Swap (CDS), liquidity risk measured bond markets, and stock markets for the monthly based September 2008 – February 2011 period. The study examines monthly data observing 38 months and 8 countries. A panel vector autoregression model is proposed for changes in Long-Term Interest Rate (LTIR), changes in CDS spreads (CDS), and changes in stock index. In conclusion, CDS markets and stock markets are more significant than bond markets in explaining the post-crisis relationship among developing South-Eastern European countries. The analysis displays that long-term monetary policy did not affect CDS premium and stock index level. A strong relationship is found between the CDS spread and stock market. During financial crisis and after the crisis, the correlations among CDS, stock, and bond markets are collapsed by panicked investors’ rapid movement and wild speculators. This risk perception can explain the difference between the finance theory and practices in the market.

Sovereign credit risk is an important consideration for investors, academics, and practitioners in the countries, and CDS spreads play a leading role to handle credit risk. The CDS premium has been mainly used as a market-based reference for sovereign credit risk. The increasing popularity of CDS spreads has brought into question whether there is a relation between CDS spreads and financial factors. To this end, the aim of this research is to explore the effect of financial factors on CDS in Turkey using the ARDL models. The results confirm that Brent and VIX volatility have an asymmetric relationship with CDS spreads in Turkey. The empirical findings suggest that a positive shock in VIX causes an increase in CDS spreads. The asymmetry in the relationships between CDS and financial factors highlights important policy implications for portfolio and risk management and financial stability.

Abstract/Zusammenfassung The spread risk premium component of credit default swap (CDS) spreads represents a compensation demanded by protection sellers for future changes in CDS spreads caused by unpredictable fluctuations in the reference entity’s risk-neutral default intensity. This paper defines and estimates a measure of the spread risk premium component in CDS spreads of a sample of European investment-grade firms by using a stochastic intensity credit model. Our results show that, on average, investors demand a positive premium for such mark-to-market risks. After controlling for CDS market conditions, like liquidity and supply/demand effects, a panel data analysis of the estimated spread risk premia reveals a positive impact of event risk captured by the overall stock market volatility and a negative impact of investors’ appetite for exposure to credit markets as reflected by the overall CDS market. Marktrisikopr mien in Credit Default Swaps von Unternehmen Die Marktrisikopramie im Credit Default ...

The CDS Market Reaction to Loan Renegotiation Announcements

We analyse the relationship between credit default swap (CDS), bond and stock markets during 2000–2002. Focusing on the intertemporal co‐movement, we examine monthly, weekly and daily lead‐lag relationships in a vector autoregressive model and the adjustment between markets caused by cointegration. First, we find that stock returns lead CDS and bond spread changes. Second, CDS spread changes Granger cause bond spread changes for a higher number of firms than vice versa. Third, the CDS market is more sensitive to the stock market than the bond market and the strength of the co‐movement increases the lower the credit quality and the larger the bond issues. Finally, the CDS market contributes more to price discovery than the bond market and this effect is stronger for US than for European firms.

Liquidity and Credit Default Swap Spreads