Credit Default Swap Market Research Articles

African Sovereign Risk Premia and International Market Assets: A Relook Under The COVID-19 Outbreak

Using the wavelet multiscale coherence technique, the paper examines the interdependences between global market assets, sovereign credit default swap (CDS) and yield-to-maturity on bond spread for African economies from January 2019 to March 2023. The empirical results primarily reveal a high level of coherence between global market assets and Africa’s sovereign CDS and yield-to-maturity, although varying across countries and time-frequency domain. Notably, the high degree of coherence and the positive co-movement between sovereign CDS and global market assets are more concentrated at the medium and upper frequency bands. The observed intensity of co-movements between global market assets and sovereign CDS/yield-to-maturity (YTM) of bond spread, with global market assets broadly serving as leading variables, suggests that an increased global investor’s risk aversion positively affects the yields on Africa market bonds. Among the global market assets, we identified that VIX (which is implied volatility of S&P500) has the dominant influence on Africa sovereign CDS/YTM compared to that emanating from Bitcoin and Godman Sachs Commodity Index. This is highly conceivable as VIX gauges bubbling global risks and uncertainties which considerably influences investor’s risk aversion. The heterogeneous lead/lag dynamics also provide useful information to global investors, including by utilizing African markets to rebalance their portfolios for risk management purposes. The empirical findings thus provide further critical information to investors for hedging purposes, and to policymakers in formulating sovereign risk management policies oriented towards minimizing sovereign default risks.

The importance of green patents for CDS pricing: The role of environmental disclosures

Corporate green innovation to address global climate change has potential spillover effects through positive financial outcomes. This study examines how the credit market takes green innovation, measured by the approval of green patents, into account to determine the credit default swap (CDS) premia. Using a sample of United States (US) firms from 2002 to 2020, this research finds that the CDS market favourably prices green innovation: firms with more green patents have lower CDS spread, suggesting that the CDS market considers firms' green innovation in their investment decision. While greater firm-provided environmental disclosures boost the effect of green innovation, involuntary environmental exposures by external channels such as print and online media offset the favourable effect of green innovation on CDS spread. The green technology pilot program by the US Patent and Trademark Office in 2009 is exploited as a quasi-natural experimental setting to apply a difference-in-differences analysis, confirming the favourable effect of green innovation on CDS spread. The results remain robust to various sensitivity and other endogeneity tests. Managers intending to reconcile green innovation with their stakeholder value maximisation objective may find the findings interesting.

Forecasting sovereign CDS spreads with a regime‐switching combination method

AbstractWith the growing importance of the sovereign credit default swap (CDS) market, accurate forecasting of sovereign CDS spreads has gained significant attention. In view of the complex volatility in the series of sovereign CDS spreads, this study presents a novel combination forecasting framework, which introduces time‐varying weights to effectively combine diverse individual models. To identify optimal subsets of models, a mutual information approach is employed, while the regime‐switching method is utilized to integrate the selected models. The proposed method's efficacy is validated using data from 65 countries. Empirical findings underscore the superiority of the proposed approach over benchmark models in terms of both horizontal and directional prediction accuracy, particularly when the sovereign CDS data exhibits a balanced distribution between high and low volatility regimes.

Do ESG disclosures mitigate investors’ reaction on mining disasters? Evidence from Brazil

The purpose of this paper is to examine the investors´ reaction to the largest ecological disasters –Samarco (2015) and Brumadinho (2019)– occurred in Minas Gerais (Brazil). Applying a short-term event study analysis, we test the stock and Credit Default Swap (CDS) market´s on the mining sector. Moreover, a cross-sectional analysis is performed testing the effect of ESG disclosures on the market reaction –in terms of Cumulative Abnormal Returns, CAR– on the competitors of Vale S.A., the company involved in such ecological catastrophes. Our findings show a statistically significant reaction in both events. Investors´ react negatively and immediately in the case of Vale for both events; CARs are statistically significant for the shorter windows. However, investors react differently in the mining sector sample –excluding Vale–. While CARs are negative in Samarco, investors do so positively in the case of Brumadinho. In that sense, investors seemed as if they switch their perceptions from this first event –Samarco–in comparison to the most recent one –Brumadinho– rewarding the increase of ESG disclosures in the meantime and mitigating a negative contagion effect in the mining sector. The impact on the CDS market is also found positive in mining sector.

Sovereign Credit Default Swap Market Volatility in BRICS Countries Before and During the COVID-19 Pandemic

SCDS (Sovereign Credit Default Swaps) are becoming more widely used as a country risk indicator after 2008 and stand out for providing real-time information rather than periodic reporting. The COVID-19 pandemic has led to economic disruptions and a decline in international trade. Understanding how the Pandemic affects SCDS return volatility in emerging economies like BRICS forms the motivation for our research. With this study, we aim to determine the impact of the COVID-19 Pandemic on SCDS return volatility in Brazil, Russia, India, China and South Africa, known as the BRICS countries. We used the Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model to analyze the data, which consisted of the daily closing price data for SCDS. The date of the first COVID-19 case in each country has been taken as the beginning of the COVID-19 Pandemic in each country. The results of the estimated GARCH models show that the volatility processes of the SCDS return series differ between periods. EGARCH model results indicate that shocks created by news in these countries during the Pandemic have a small and persistent effect on Brazil and Russia's SCDS return volatility, while they have a large and enduring effect on China and South Africa's SCDS return volatility. The findings will guide policymakers and portfolio managers in determining risk management models.

Does information environment affect information spillover between the CDS and stock markets in Korea?

This study analyzes the impact of the information environment (IE) and credit default swap (CDS) transaction costs on information transmission between the stock and CDS markets. Using the daily regression analysis on the Korean firm’s stock and CDS data from 2004 to 2023, the results show that companies with superior IE in the stock market exhibit a larger and more sensitive total information flow from the stock market to the CDS market. Companies with lower transaction costs in the CDS market demonstrate faster information flow. In the case of companies with superior IE, fundamental information is reflected in stock prices with high weight and thus the CDS spreads change reflecting information about stock prices. According to this study’s findings, the primary factor influencing the information flow from the stock market to the CDS market is the information environment of the company in the stock market, rather than transaction costs in the CDS market.

The Impact of Credit Rating on Credit Default Swap Market: Evidence from Sovereign Downgrades

The Impact of Credit Rating on Credit Default Swap Market: Evidence from Sovereign Downgrades

Contagion in the Euro area sovereign CDS market: a spatial approach

PurposeThis paper explores whether the Euro-area sovereign credit default swap market is prone to contagion effects. It investigates whether the sharp increase in sovereign CDS spread of a given country is due to a deterioration of the macroeconomic variables or some form of contagion.Design/methodology/approachFor this purpose, the authors use an innovative approach, i.e. spatial econometrics. Although modeling spatial dependence is an attractive challenge, its application in the field of finance remains limited.FindingsThe empirical findings show strong evidence of spatial dependence highlighting the presence of pure contagion. Furthermore, evidence of wake-up call contagion-increased sensitivity of investors to fundamentals of neighboring countries and shift contagion-increased sensitivity to common factors are well recorded.Originality/valueThis study aims to study a crucial financial issue that gained increased research interest, i.e. financial contagion. A methodological contribution is made by extending the standard spatial Durbin model (SDM) to analyze and differentiate between several forms of contagion. The results can be used to understand how shocks are spreading through countries.

The Influence of Equity Market Sentiment on Credit Default Swap Markets: Evidence from Wavelet Quantile Regression

Previous studies focused on the fundamental channels of the interaction between the equity market and credit default swap (CDS) market. This paper finds another channel, investor sentiment, that contributes to the impact of the equity market on the CDS market under different time horizons and market conditions within the framework of wavelet quantile regression. It absorbs both the merits of wavelet transform and quantile regression and is advantageous in analyzing heterogeneous time horizons and full conditional distributions. Empirical results show that investor attitude turning optimistic has a negative influence on the deviation of CDS market spread from theoretical value, while the intensification of fear among equity market will enlarge this deviation. Besides, we discovered that the influence of equity market sentiment on the CDS market first increases and then decreases as the time horizon lengthens and that the greater the deviation of CDS spreads from intrinsic value is, the more irrational the CDS market participants are. These findings suggest that the influence of investor sentiment on the credit default swap market is self-reinforced. Our results are robust after controlling for macroeconomic conditions and under different wavelet decompositions. Reasonable suggestions are given to financial institutions, investors, and policy makers based on our findings.

Pricing of Credit Risk Derivatives with Stochastic Interest Rate

This paper deals with a credit derivative pricing problem using the martingale approach. We generalize the conventional reduced-form credit risk model for a credit default swap market, assuming that the firms’ default intensities depend on the default states of counterparty firms and that the stochastic interest rate follows a jump-diffusion Cox–Ingersoll–Ross process. First, we derive the joint Laplace transform of the distribution of the vector process (rt,Rt) by applying piecewise deterministic Markov process theory and martingale theory. Then, using the joint Laplace transform, we obtain the explicit pricing of defaultable bonds and a credit default swap. Lastly, numerical examples are presented to illustrate the dynamic relationships between defaultable securities (defaultable bonds, credit default swap) and the maturity date.

Counterparty Risk and Counterparty Choice in the Credit Default Swap Market

We investigate how market participants price and manage counterparty credit risk using confidential trade repository data on single-name credit default swap (CDS) transactions. We find that counterparty risk has a modest impact on the pricing of CDS contracts but a large impact on the choice of counterparties. For contracts ineligible for central clearing, we show that market participants are significantly less likely to trade with counterparties whose credit risk is highly correlated with the credit risk of the reference entities and with counterparties whose credit quality is low. For clearable contracts, we find that nondealers are more likely to clear during a crisis and less likely to clear when the reference entity is a large U.S. dealer or a sovereign. This paper was accepted by Kay Giesecke, finance. Supplemental Material: The internet appendix and data are available at https://doi.org/10.1287/mnsc.2023.4870 .

Extracting implied volatilities from bank bonds

In this work, we explore the information content of senior, subordinated and additional tier 1 (or contingent convertible) bonds issued by euro-area banks. We analyze both the asset volatility implied in senior and subordinated bonds and credit default swap market spreads, and the common equity tier 1 (CET1) ratio volatility extracted from additional tier 1 bonds secondary market spreads in the period from December 31, 2012 to March 31, 2021. Furthermore, we jointly consider the following important bank variables: asset, equity and CET1 ratio volatilities. In doing so, we can obtain the market view on credit spreads, banks balance sheet and capital ratio dynamics on a daily basis even if bank data are released quarterly. The approach can be used to monitor the risk of each bank, as perceived by the market, and to investigate banking fragility at a stand-alone or at a country level. Finally, we compare our estimated equity implied volatilities with the volatilities implied in equity option quotes and we show that this indicator depends on the model and the financial instruments considered in the calibration.

Cross‐market information transmission along the supply chain network

In this paper, we investigate whether and how investors of suppliers learn from the private information embedded in the customer credit default swap (CDS) market prior to customer earnings announcements. We find that investors of suppliers indeed incorporate the customer private information revealed in the CDS market into the supplier valuation, thereby leading to significant changes in suppliers’ future stock prices. Moreover, such price discovery effect is more pronounced when: (i) the level of customer private information revealed in the CDS market is more prominent; (ii) the customer bond market is more illiquid; (iii) the customers are expected to report bad earnings news or experience deteriorated credit conditions; (iv) the strength of the supplier–customer economic bond is stronger. Our results remain robust when we control for the supplier's own CDS market price discovery effect or conduct matched sample analyses. Finally, utilizing the passage of the Dodd–Frank Wall Street Reform and Consumer Protection Act (Dodd–Frank Act) as an exogenous shock, we show that the effect of customer CDS trading on suppliers’ future stock prices is less pronounced after the Dodd–Frank Act due to more explicit regulation on informed trading activities. Overall, our study documents significant cross‐market information transmission along the supply chain network (i.e., from the customer derivative market to the supplier equity market).

How credit default swap market measures carbon risk.

Given the increasing concerns about the carbon risk's influence on economy, this paper is aimed at exploring the impact of carbon emission on credit risk, measured by credit default swap. By using monthly updated data of 363 unique US companies among a period between 2007 and 2020, we uncover that firm's direct carbon emission increases its CDS spreads, whereas indirect emission is not priced by credit market seriously. Considering dynamic effects of carbon risk, we find a positive correlation between carbon risk and the CDS term structure, which implies that carbon risk's influence on long-term concern of credit risk can be more pronounced. Using exogenous shock: Paris Agreement, our finding remains robust. Finally, we also examine potential channels, including companies' sustainability awareness, green transition willingness, and ability, through which carbon risk is priced among the credit market. This paper provides further evidence of carbon credit premium and contributes to the implications of carbon cutting activities.

Asymmetric and nonlinear comovements of credit default swap and bond markets: evidence from an emerging market

ABSTRACT This study examines the equilibrium and price discovery relationships between credit default swap (CDS) and bond markets through the symmetric and non-symmetric cointegration approaches, focusing on Turkish sovereign markets. While the findings, obtained using the threshold autoregressive (TAR) and momentum threshold autoregressive (MTAR) models, confirm the asymmetric and nonlinear cointegration relationship between CDS and bond markets described in a limited number of studies in the relevant literature, they also, in contrast to other relevant studies, reveal the importance of data frequency and structural breaks in price discovery research. In this context, the results show that the CDS market is the leader in price discovery in high-frequency data and after the first sub-period, and the bond market is the leader in price discovery in low-frequency data and before the first sub-period.

Does credit default swap trading improve managerial learning from outsiders?

AbstractWe investigate whether credit default swap (CDS) trading results in managers learning new information through stock prices that is relevant to their investment and forecasting decisions. We argue that the CDS market structure, the sophistication of CDS market participants, and the cleanness of CDS spreads as a signal of default risk together produce and convey information that is new to managers of firms referenced in CDS contracts. We consider two measures for managerial learning: (1) the sensitivity of managerial investments to share prices and (2) the sensitivity of changes in management forecast accuracy to stock returns. We find that both sensitivity measures increase significantly when firms are referenced in any traded CDS contracts, indicating that CDS trading improves managerial learning. We also find that the improvement in managerial learning is more pronounced for firms that are subject to higher uncertainty in industry‐specific and economy‐wide prospects, consistent with the view that CDS market participants have informational advantages with respect to the industry‐level and macroeconomic environments. We further find that the improvement in managerial learning is more evident for firms with higher credit risk. Our findings provide large‐sample evidence on a positive consequence of CDS trading in the context of managers' ability to learn from outside investors.

Are credit default swaps still a sideshow? How information flow between equity and CDS markets has changed since the financial crisis

We examine the information flow between equity and credit default swap (CDS) markets using firm-level returns data before and after the global financial crisis. Before the crisis, the information flow was unidirectional, with equity returns leading CDS returns. While equity returns continue to lead CDS returns after the crisis, we find that the speed of adjustment of the CDS market to equity markets has increased during this period. We also find evidence of a bidirectional flow of information between these markets, with equity returns responding to credit protection returns in the postcrisis period. The quicker response of CDS spreads to equity returns during the postcrisis period primarily occurs among entities with lower credit ratings. In contrast, the response of equity returns to lagged CDS returns during the postcrisis period is observed among firms across different credit rating categories; however, the magnitude of the response is higher among those with lower credit ratings.

Inclusion of debt claims in asset pricing models: Evidence from the CDS Index

Asset pricing theory suggests that the correct proxy for the market portfolio should contain both the debt and equity claims of the economy, whereas prevailing empirical studies fail to include the debt claim. Motived by the discrepancy between the theoretical and empirical models and the difficulty in constructing proxies, the study uses the Credit Default Swaps (CDS) market index as a proxy for the debt market and empirically tests its explanatory power in explaining stock return variations. Employing panel regression and Fama-MacBeth regression of all publicly traded U.S. companies from 2005 to 2020, the study finds a negative relationship between CDS index returns and stock returns. On average, a one standard deviation increase in CDS index return is associated with a 0.02% decrease in daily stock returns. Results of two-stage regressions show that the estimated systematic credit risk is positively priced in stock returns with similar economic magnitude as the well-documented beta risk. These results support asset pricing theories in the inclusion of debt claim and the risk-return tradeoff, while contradicting the credit risk puzzle documented in prior studies.

Default risk and earnings expectations: The role of contract maturity in the credit default swap market

AbstractAgency conflicts increase with contract maturity. As contract maturity increases, managers, acting on behalf of shareholders, have more opportunities to use their discretion in ways that adversely affect future payoffs. Agency theory suggests that when contract maturity increases, creditors place less weight on a firm's growth opportunities in assessing default risk. We present a counter‐argument: because the timing of future payoffs is uncertain, longer‐duration debt provides creditors with a longer horizon over which payoffs are earned. Using credit default swap (CDS) spreads, we demonstrate that the relevance of future earnings expectations increases with CDS maturity. Our results suggest that contract maturity is not a reliable proxy for agency costs when evaluating the credit market relevance of financial information.

Stock price informativeness and credit default swap trading

AbstractThis study develops a difference‐in‐differences analysis to assess whether trading onset of credit default swaps (CDS) on a firm's debt improves price informativeness in the stock market. Price informativeness is measured by the future earnings response coefficient, which captures the amount of information about future earnings conveyed in stock returns. Our sample comprises U.S. firms (firms experiencing CDS trading on their debt and a group of control firms) and covers the period 1997–2015. The results indicate that CDS hinder stock price informativeness, and thus the ability of prices to track long‐term fundamentals, especially before the arrival of negative information about the obligor. The identified impact is stronger when CDS are first traded, becoming less pervasive with the passage of time. Finally, the results indicate that effects were residual during the early stages of CDS market development and peaked during the period 2004–2008. The impact of CDS introduction weakened after new regulation and ISDA protocols entry into force in 2009. This empirical analysis contributes to the literature by improving knowledge on the consequences of CDS trading on economic and financial outcomes. It points out a negative effect on price informativeness in the stock market and indicates that it was smoothed by regulatory measures designed to improve market infrastructure and transparency.