Credit default swap spreads and variance risk premia

We find that the firm-level variance risk premium has a prominent explanatory power for credit spreads in the presence of market- and firm-level control variables established in the existing literature. Such predictability complements that of the leading state variable—the leverage ratio—and strengthens significantly with a lower firm credit rating, longer credit contract maturity, and model-free implied variance. We provide further evidence that (1) the variance risk premium has a cleaner systematic component than implied variance or expected variance, (2) the cross-section of firms’ variance risk premia capture systematic variance risk in a stronger way than firms’ equity returns in capturing market return risk, and (3) a structural model with stochastic volatility can reproduce the predictability pattern of variance risk premia for credit spreads.     

Regime dependent determinants of credit default swap spreads

Credit default swap (CDS) spreads display pronounced regime specific behaviour. A Markov switching model of the determinants of changes in the iTraxx Europe indices demonstrates that they are extremely sensitive to stock volatility during periods of CDS market turbulence. But in ordinary market circumstances CDS spreads are more sensitive to stock returns than they are to stock volatility. Equity hedge ratios are three or four times larger during the turbulent period, which explains why previous research on single-regime models finds stock positions to be ineffective hedges for default swaps. Interest rate movements do not affect the financial sector iTraxx indices and they only have a significant effect on the other indices when the spreads are not excessively volatile. Raising interest rates may decrease the probability of credit spreads entering a volatile period.     

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 pricing of accruals quality in credit default swap spreads

We examine the association between accounting information risk, measured with accruals quality (AQ), and credit spreads, primarily measured with credit default swap (CDS) spreads. Theoretically, AQ measures the precision with which accruals map into cash flows. Better AQ implies a more precise estimate of future cash flows and, we predict, a reduction in credit spreads due to resulting lower uncertainty regarding the ability to meet debt interest and principal payments. In support of this hypothesis, we find a negative relationship between AQ and CDS spreads whereby better AQ is associated with lower CDS spreads. Additionally, we investigate the components of total AQ and find that innate AQ is more strongly associated with CDS spreads than is discretionary AQ. We further show that AQ moderates the market's pricing of earnings: the relationship between earnings and CDS spreads weakens as AQ worsens. Together, our results indicate that accounting information risk is priced in credit spreads and that the CDS market responds not only to the level of earnings, but the quality thereof as well.     

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.     

Business strategies and annual report readability

This study investigates the association between firm-level business strategy and the readability of narrative disclosures in annual reports. As business strategy affects the information environment and financial performance of firms, we expect the readability of narrative disclosures to vary with the particular business strategy that a firm pursues. In accord with this expectation, we find that firms with prospector-type business strategies produce less readable narratives, while those with defender-type business strategies produce more readable narratives. We also document that the association between strategy and readability is partially mediated by organisational performance, although the mediation effect is rather modest. These findings are robust when subjected to a series of sensitivity tests.     

Decomposing swap spreads

We analyze a six-factor model for Treasury bonds, corporate bonds, and swap rates and decompose swap spreads into three components: a convenience yield from holding Treasuries, a credit risk element from the underlying LIBOR rate, and a factor specific to the swap market. The convenience yield is by far the largest component of spreads. There is a discernible contribution from credit risk as well as from a swap-specific factor with higher variability which in certain periods is related to hedging activity in the mortgage-backed security market. The model also sheds light on the relation between AA hazard rates and the spread between LIBOR rates and General Collateral repo rates and on the level of the riskless rate compared to swap and Treasury rates.     

Asset redeployability and readability of annual report

We examine the impact of holding more redeployable assets on the readability of annual reports. Building on prior research, we develop two competing hypotheses. Using a large panel sample of 67,022 firm-year observations for the period of 1993–2018, we find that the annual reports of firms with more redeployable assets are easier to read and understand. We further obtain consistent results after performing a battery of robustness and endogeneity checks. Overall, our study joins the debate on whether holding more redeployable assets is beneficial or detrimental to a company and contributes to a more comprehensive understanding of asset redeployability.     

How the Subprime Crisis went global: Evidence from bank credit default swap spreads

How did the Subprime Crisis, a problem in a small corner of U.S. financial markets, affect the entire global banking system? To shed light on this question we use principal components analysis to identify common factors in the movement of banks' credit default swap spreads. We find that fortunes of international banks rise and fall together even in normal times along with short-term global economic prospects. But the importance of common factors rose steadily to exceptional levels from the outbreak of the Subprime Crisis to past the rescue of Bear Stearns, reflecting a diffuse sense that funding and credit risk was increasing. Following the failure of Lehman Brothers, the interdependencies briefly increased to a new high, before they fell back to the pre-Lehman elevated levels – but now they more clearly reflected heightened funding and counterparty risk. After Lehman's failure, the prospect of global recession became imminent, auguring the further deterioration of banks' loan portfolios. At this point the entire global financial system had become infected.     

The reaction of emerging market credit default swap spreads to sovereign credit rating changes

This paper examines the effect of sovereign credit rating change announcements on the CDS spreads of the event countries, and their spillover effects on other emerging economies’ CDS premiums. We find that positive events have a greater impact on CDS markets in the two-day period surrounding the event, and are more likely to spill over to other emerging countries. Alternatively, CDS markets anticipate negative events, and previous changes in CDS premiums can be used to estimate the probability of a negative credit event. The transmission mechanisms for positive events are the common creditor and competition in trade markets.     

The non-monotonic impact of bank size on their default swap spreads: Cross-country evidence

This paper studies the drivers of bank's credit default swap (CDS) spread, taken as a measure of credit risk, by considering the impact of housing market along with a number of bank level determinants, such as regulatory capital, leverage, size, liquidity, asset quality and operations income ratio. We build upon a unique dataset consisting of 115 banks (during pre- and post-crisis periods) headquartered in 30 countries from both developed and emerging countries. Results suggest that CDS spread is driven by asset quality, liquidity and operations income ratio, while bank size is found to have a non-monotonic impact on CDS spread. If the bank is small, an increase in size reduces the average credit risk. If the bank is large enough, an increase in size raises the latter. From our results we derive the level of bank size that minimizes the CDS spreads. Financial institutions growing beyond this threshold are subject to higher credit risk, implying that smaller and medium sized banks are safer than large banks. When considering the estimates in the periods before and after the 2007 crisis, we further find a different extreme point of bank size in the former (approximately 1642 billion Euros) relative to a significantly lower level of optimal bank size (around 70 billion) in the post-crisis period, implying too-big-to-fail and too-big-to-save in the pre-crisis regime.     

Credit default swap prices as risk indicators of listed German banks

This paper explores empirically the usefulness of credit default swap (CDS) prices as market indicators. The sample of reference entities consists of large, internationally active German banks and the observation period covers 3 years. By analysing the explanatory power of three risk sources: idiosyncratic credit risk, systematic credit risk and liquidity risk, we gain important insights into modeling the dynamics of CDS spreads. The impact of systematic risk, for example, has three components; one is related to the overall state of the economy, another related to the risk of the internationally active banking sector, and the third is an unobservable systematic factor. Default probabilities, inferred from a tractable reduced form model for CDS spreads, are compared with expected default frequencies from the Moody’s KMV model. The results lend empirical support to the hypothesis that structural models can be less informative than reduced-form models of CDS spreads in the case of banks with major investment banking activities as the leverage loses explanatory power. Although the CDS market appears to have matured over the observation period, during certain periods premiums for liquidity risk can increase substantially thus limiting the value of CDS spreads as market indicators. We conclude that equity prices and CDS premia should be considered together to fully exploit the information content of both market indicators and to mitigate their respective drawbacks.

Implied liquidity risk premium in the term structure of sovereign credit default swap and bond spreads

In this study, we focus on the dynamic properties of the risk-neutral liquidity risk premium specific to the sovereign credit default swap (CDS) and bond markets. We show that liquidity risk has a non-trivial role and participates directly to the variation over time of the term structure of sovereign CDS and bond spreads for both the pre- and crisis periods. Secondly, our results indicate that the time-varying bond and CDS liquidity risk premium move in opposite directions which imply that when bond liquidity risk is high, CDS liquidity risk is low (and vice versa), which may in turn be consistent with the substitution effect between CDS and bond markets. Finally, our Granger causality analysis reveals that, although the magnitude of bond and CDS liquidity risk is substantially different, there is a strong liquidity flow between the CDS and the bond markets, however, no market seems to consistently lead the other.     

Credit default swap calibration and derivatives pricing with the SSRD stochastic intensity model

We introduce the two-dimensional shifted square-root diffusion (SSRD) model for interest-rate and credit derivatives with (positive) stochastic intensity. The SSRD is the unique explicit diffusion model allowing an automatic and separated calibration of the term structure of interest rates and of credit default swaps (CDSs), and retaining free dynamics parameters that can be used to calibrate option data. We propose a new positivity preserving implicit Euler scheme for Monte Carlo simulation. We discuss the impact of interest-rate and default-intensity correlation and develop an analytical approximation to price some basic credit derivatives terms involving correlated CIR processes. We hint at a formula for CDS options under CIR + + CDS-calibrated stochastic intensity.Received: March 2004, Mathematics Subject Classification (2000): 60H10, 60J60, 60J75, 91B70JEL Classification: G13     

Investigating the dependence structure between credit default swap spreads and the U.S. financial market

Under Basel II framework, credit risk assessment is of high significance in the light of correlation risk. Correlation risk is often envisioned along with business conditions and financial market’s impact. We employ copula methodology to identify the dependence structures that may exist between market risk fundamentals and credit risk fundamentals. Considering credit derivative spreads as credit risk fundamentals and market data as market risk determinants, we describe and quantify the asymmetric link prevailing between credit risk and market risk. Credit risk is negatively linked with market price risk whereas it becomes positively linked with market volatility risk. Such patterns give rise to interesting asymmetric dependence structures between both risk sources. We are then able to balance reliably market price risk with market volatility feedback, the market trend supporting a common correlation between securities. In the light of the previous trade-off, we propose also a simple credit risk management rule.     

The effect of corporate diversification on credit risk: new evidence from European credit default swap spreads

This article investigates the impact of corporate diversification on credit risk. To our best knowledge, this is the first paper to use credit default swap (CDS) spreads instead of bond yield or revalued book values to test the risk‐reduction hypothesis. The analysis relies upon a sample of STOXX^® EUROPE 600 index members and covers the years 2010–2014. After controlling for various CDS‐ and firm‐specific variables, we find that diversification strategies do not significantly lower CDS premiums. Multilevel mediation analysis further shows that information asymmetries overcompensate the risk‐reducing effects resulting from corporate diversification.     

Determinants of interest rate swap spreads

This study argues that an interest rate swap, as a non-redundant security, creates surplus which will be shared by swap counterparties to compensate their risks in swaps. This action in turns affects swap spreads. Analyzing the time series impacts of the changes of risks of swap counterparties on swap spreads, we conclude that both lower and higher rating bond spreads have positive impacts on swap spreads. We also derive a risk–spread relation to test if swap counterparties are firms with differential credit ratings. Since the risk allocation between swap counterparties varies over business cycles, hence this factor needs to be controlled. We conclude that (1) similar results hold if the business cycle factor is controlled and (2) swap spreads contain procyclical element and are less cyclical than lower credit rating bond spreads.     

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.     

The influence of business strategy on annual report readability

Concerns about the complexity of firm disclosures have prompted regulators to initiate projects to improve the readability of annual reports. We investigate business strategy as a determinant of annual report readability. As business strategy fundamentally determines a firm’s product and market domain, technology, and organizational structure, it influences a firm’s operating complexity, environmental uncertainty and information asymmetry. Consequently, business strategy frames the level, wording, and complexity of disclosures. We capture a firm’s business strategy based on the Miles and Snow (1978) strategic typology and measure 10-K readability with Li’s (2008) Fog index. We find that firms pursuing an innovation-oriented prospector strategy have less readable 10-Ks relative to firms pursuing an efficiency-oriented defender strategy. We also find that prospectors display more negative and uncertainty tones while defenders exhibit more litigious tone in their 10-Ks. Our study provides useful insights to policy makers as it suggests that efforts to improve annual report readability may be limited for some firms given that business strategy is a fundamental determinant of readability and pronouncements accommodating different strategic orientations are not feasible.     

European asset swap spreads and the credit crisis

We examine time-varying behaviour and determinants of asset swap (ASW) spreads for 23 iBoxx European corporate bond indexes from January 2006 to January 2009. The results of a Markov switching model suggest that ASW spreads exhibit regime-dependent behaviour. The evidence is particularly strong for Financial and Corporates Subordinated indexes. Stock market volatility determines ASW spread changes in turbulent periods, whereas stock returns tend to affect spread changes in calm periods. While market liquidity affects spreads only in turbulent regimes the level of interest rates is an important determinant of spread changes in both regimes. Finally, we identify stock returns, lagged ASW spread levels, and lagged volatility of ASW spreads as major drivers of the regime shifts. The results are robust in the extended sample (January 2006 to October 2013) that includes a post-crisis period.