Daily pricing of emerging market sovereign CDS before and during the global financial crisis

In this paper, we study the determinants of daily spreads for emerging market sovereign credit default swaps (CDSs) over the period April 2002–December 2011. Using GARCH models, we find, first, that daily CDS spreads for emerging market sovereigns are more related to global and regional risk premia than to country-specific risk factors. This result is particularly evident during the second subsample (August 2007–December 2011), where neither macroeconomic variables nor country ratings significantly explain CDS spread changes. Second, measures of US bond, equity, and CDX High Yield returns, as well as emerging market credit returns, are the most dominant drivers of CDS spread changes. Finally, our analysis suggests that CDS spreads are more strongly influenced by international spillover effects during periods of market stress than during normal times.     

The Co‐movement of Credit Default Swap,Bond and Stock Markets: an Empirical Analysis

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.     

Understanding the term structure of credit default swap spreads

The shape of the term structure of credit default swap (CDS) spreads displays large variations over time and across firms. Consistent with the predictions of structural models of credit risk, we find that the slope of CDS spread term structure increases with firm leverage and volatility, but decreases with the level and the slope of the Treasury yield curve. However, these variables together have rather limited explanatory power for CDS slope and there is a significant common component in the regression residuals. In addition, we find that CDS slope predicts future changes in the CDS spreads, even after controlling for the contemporaneous variables that determine changes in the CDS spreads according to the structural models. Our results suggest that while structural models are qualitatively useful for understanding the shape of credit term structure, there are missing factors that importantly affect the term structure of CDS spreads.     

The Information Content of Ratings: An Analysis of Australian Credit Default Swap Spreads

We examine the information content of Australian credit rating announcements by measuring the abnormal changes in credit default swap (CDS) spreads. CDS spreads provide a direct view of credit quality and thus should impound information quickly when investors receive new credit risk related information via a rating event. Using an event study methodology, we show that watch downs and rating upgrades contain valuable information even after controlling for sources of contamination. We find that watch downs elicit statistically significant market reactions, while subsequent downgrades are anticipated. Upgrades are associated with a significant but small abnormal reduction in CDS spreads, whereas watch ups appear to contain no new information.     

ESG in credit ratings and the impact on financial markets

This study examines environment, social, governance (ESG) consideration in rating reports published by credit rating agencies. 3,719 Moody's credit rating reports between 2004 and 2015 are examined and the ESG consideration is analyzed using a latent dirichlet allocation (LDA) approach. We further analyze the stock returns and credit default swap (CDS) spread changes to check whether ESG consideration has an effect on the capital market reactions. We find a small but present consideration of ESG in rating decisions. Within ESG, corporate governance plays the most important role. Moreover, the results reveal that ESG consideration is a significant determinant in the stock return and CDS spread around the rating announcement. We find that all ESG criteria are important for equity and debt investors.     

Price discovery in the CDS market: the informational role of equity short interest

This paper documents a negative relation between equity short interest and future returns on credit default swaps (CDS). This relation is most consistent with the theory that equity short interest telegraphs relevant information to secondary market CDS investors about credit spread not transmitted into prices in other ways. The CDS return predictive pattern also strengthens negatively for equity short-interest positions subject to an outward shift in the demand for shortable stocks, which we view as a proxy for the expected benefits of private information (Cohen et al. in J Finance 62(5):2061–2096, 2007). This suggests that features of the shorting market may help explain the lagged response of CDS spreads to equity short interest. Our tests of economic significance, however, do not support the view that the CDS return predictive pattern is strong enough to cover the round-trip cost of trading in the secondary CDS market.     

Tempered stable structural model in pricing credit spread and credit default swap

In this paper, we explore the features of a structural credit risk model wherein the firm value is driven by normal tempered stable (NTS) process belonging to the larger class of Lévy processes. For the purpose of comparability, the calibration to the term structure of a corporate bond credit spread is conducted under both NTS structural model and Merton structural model. We find that NTS structural model provides better fit for all credit ratings than Merton structural model. However, it is noticed that probabilities of default derived from the calibration of the term structure of a bond credit spread might be overestimated since the bond credit spread could contain non-default components such as illiquidity risk or asymmetric tax treatment. Hence, considering CDS spread as a reflection of the pure credit risk for the reference entity, we calibrate it in order to obtain more reasonable probability of default and obtain valid results in calibration of the market CDS spread with NTS structural model.     

The Drivers of Sovereign CDS Spread Changes: Local Versus Global Factors

We use daily data for a panel of 34 countries to investigate regional differences in sovereign credit default swaps (CDS) spread determinants and the significance of local versus global market factors. Similar to prior studies, we find a high level of commonality among CDS spreads, but our results show that this effect is stronger in Latin American CDS. The results of our quantile panel regression model show that although global forces drive spreads across the conditional distribution, changes in credit ratings are significant in explaining CDS spreads only in the upper quantiles. We also confirm the existence of regional differences in spread determinants.     

An Empirical Analysis of the Dynamic Relation between Investment-Grade Bonds and Credit Default Swaps

We test the theoretical equivalence of credit default swap (CDS) prices and credit spreads derived by Duffie (1999) , finding support for the parity relation as an equilibrium condition. We also find two forms of deviation from parity. First, for three firms, CDS prices are substantially higher than credit spreads for long periods of time, arising from combinations of imperfections in the contract specification of CDSs and measurement errors in computing the credit spread. Second, we find short‐lived deviations from parity for all other companies due to a lead for CDS prices over credit spreads in the price discovery process.     

Information efficiency of the U.S. credit default swap market: Evidence from earnings surprises

The credit default swap (CDS) market attracted much debate during the 2008 financial crisis. Opponents of CDS argue that CDS could lead to financial instability as it allows speculators to bet against companies and make the crisis worse. Proponents of CDS believe that CDS could increase market competition and benefit hedging activities. Moreover, an efficient CDS market can serve as a barometer to regulators and investors regarding the credit health of the underlying reference entity. We investigate information efficiency of the U.S. CDS market using evidence from earnings surprises. Our findings confirm that negative earnings surprises are well anticipated in the CDS market in the month prior to the announcement, with both economically and statistically stronger reactions for speculative-grade firms than for investment-grade firms. On the announcement day, for both positive and negative earnings surprises, the CDS spread for speculative-grade firms presents abnormal changes. Moreover, there is no post-earnings announcement drift in the CDS market, which is in direct contrast to the well-documented post-earnings drift in the stock market. Our evidence supports the efficiency of the CDS market.     

Information in CDS spreads

We investigate how public and private information affects corporate CDS spreads prior to rating announcements. First, CDS spreads of firms with high news intensity change significantly earlier and more strongly prior to negative rating announcements than those of firms with low news intensity. Second, the contents of daily corporate news significantly influence the direction in which the CDS spreads move. Third, CDS spreads change more strongly for firms with more bank relationships and days with no news but large abnormal CDS spread changes are more frequent prior to negative rating announcements than prior to positive ones. The study provides new evidence on the informational efficiency of the CDS market, the impact of credit rating announcements, and insider trading.     

The impact of credit rating announcements on credit default swap spreads

We document the ability of the credit default swap (CDS) market to anticipate favorable as well as unfavorable credit rating change (RC) announcements based on more extensive samples of credit rating events and CDS spreads than previous studies. We obtain four new results. In contrast to prior published studies, we find that corporate RC upgrades do have a significant impact on CDS spreads even though they are still not as well anticipated as downgrades. Second, CreditWatch (CW) and Outlook (OL) announcements, after controlling for prior credit rating events, lead to significant CARs at the time positive CW and OL credit rating events are announced. Third, we extend prior results by showing that changes in CDS spreads for non-investment-grade credits contain information useful for estimating the probability of negative credit rating events. Fourth, we find that the CDS spread impact of upgrades but not downgrades is magnified during recessions and that upgrades and downgrades also differ as to the impact of simultaneous CW/OL announcements, investment-grade/speculative-grade crossovers, current credit rating, market volatility, and industry effects.     

Measuring Sovereign Risk: Are CDS Spreads Better than Sovereign Credit Ratings?

Using data for 54 countries over a 12‐year period, we find that the variation in average sovereign ratings in a given year can be explained by average credit default swap (CDS) spreads over the previous three years. In a horse race between CDS spreads and sovereign ratings, we find that CDS spread changes can predict sovereign events, while rating changes cannot. The predictability of CDS spreads is greater when there is disagreement between Moody's and the S&P for a country's rating.     

The specification and power of tests to detect abnormal changes in corporate investment

We evaluate methods used to measure abnormal changes in capital expenditures. We examine both statistical tests and models of expected capital expenditures. We find that commonly used research designs yield test statistics that are misspecified, even in random samples. In cases where sample firms share a common characteristic such as extremely low or high investment, size, leverage, return on assets or market-to-book ratio, it is very important to match sample firms to a control group that shares this pre-event characteristic. We also find that using control groups, rather than a single control firm, yields more powerful test statistics.     

Measuring the effect of watch-preceded and direct rating changes: a note on credit markets

This paper analyzes the importance of distinguishing between watch-preceded and direct rating changes for the credit default swap (CDS) market by examining a total of 2991 rating change announcements, 1526 watchlist placement announcements, and 430 rating affirmations following watchlist placements. The results show that watch-preceded downgrades do not lead to significant CDS market reactions, while direct downgrades are associated with a significant increase in CDS spread levels. Likewise, we document that watchlist placements for downgrade lead to increases in firms’ CDS spreads. CDS markets do not react to rating upgrades but watchlist placements for upgrade result in an immediate decrease in CDS spreads. Rating affirmations following watchlist placements for downgrade lead to slight reductions in CDS spreads, while affirmations following watchlist placements for upgrade have no effect on CDS spreads. These findings demonstrate the importance for empirical research on the interaction between credit markets and rating announcements to differentiate between watch-preceded and direct rating changes, particularly for rating downgrades.     

Price discovery of subordinated credit spreads for Japanese mega-banks: Evidence from bond and credit default swap markets

This paper investigates the determinants and dynamics of subordinated credit spreads for Japanese mega-banks using the bond and credit default swap (CDS) spreads. The main findings are as follows. Subordinated bond and CDS spreads are cointegrated in most cases, and the CDS spread plays a more dominant role in price discovery than the bond spread. In addition, there are significant volatility spillovers from the CDS to bond spread. This information leadership for the CDS spread can largely be explained by stronger reactions of the CDS spread to some financial market variables and bank-specific accounting variables than the bond spread.     

Statistical inference in multiperiod event studies

We examine several event-study test statistics that can be used to detect abnormal performance during amultiperiod event window. We demonstrate that one of the most commonly used test statistics does not, under the assumptions made, have the distribution claimed (standard normal), and thus tests using it will be biased. The magnitude of that bias is shown to increase with the length of the event window and can generally be expected to lead to excessive rejection of the null hypothesis. We also compare the relative power of alternative test statistics that are normally distributed and are straightforward to apply.     

Surprises,sentiments, and the expectations hypothesis of the term structure of interest rates

Between 2005 and 2009, we document evident time-varying credit risk price discovery between the equity and credit default swap (CDS) markets for 174 US non-financial investment-grade firms. We test the economic significance of a simple portfolio strategy that utilizes fluctuation in CDS spreads as a trading signal to set stock positions, conditional on the CDS price discovery status of the reference entities. We show that a conditional portfolio strategy which updates the list of CDS-influenced firms over time, yields a substantively larger realized return net of transaction cost over the unconditional strategy. Furthermore, the conditional strategy’s Sharpe ratio outperforms a series of benchmark portfolios over the same trading period, including buy-and-hold, momentum and dividend yield strategies.     

Corporate social responsibility,credit rating,and private debt contracting: new evidence from syndicated loan market

We examine the impact of corporate social responsibility (CSR) activities on loan spreads of syndicated bank loans, with a particular interest in how CSR and credit ratings are interrelated as a joint determinant of loan spreads. Focusing on private debt contracts, we show that both CSR strengths and concerns are related to their loan spreads. CSR strengths work to lower firm risk, hence reducing the loan spread, whereas CSR concerns increase firm risk, thus increasing the loan spread. Once we include detailed credit rating information in the models, however, CSR concerns lose significance, but CSR strengths remain significantly related to the loan spread. We also find that both CSR strengths and CSR concerns are related to loan spread for non-rated firms, but the CSR concern effect is stronger than the CSR strength effect for these firms. A further test shows that firm risk measured by stock return volatility plays as a direct channel through which a firm’s CSR activities affect loan spreads, whose result lends further support to our main results. Overall, our results provide strong evidence that CSR matters to the pricing of loan contracts beyond credit rating information and the results remain robust to the possible firm size effect and the endogeneity issues.     

Network structures and idiosyncratic contagion in the European sovereign credit default swap market

This study combines conditional Granger causality and network analysis to examine the interconnectedness in the European sovereign credit default swap (CDS) market. We determine that the network is unstable in the short term and stable in the long term. Further, we visualize dynamic networks and confirm financial contagion in the 2012 European debt crisis. The sources of risk spillovers and the manner in which spillovers are transferred among countries are identified accordingly. Further, we conclude that interconnectedness can be a pricing factor for determining the sovereign CDS return. The results of the network analysis indicate that the European sovereign CDS market is a complex network system and can serve as a valuable reference for investors and policymakers.