Credit derivatives and stock return synchronicity

The role of credit default swaps (CDS) in the 2008 financial crisis has been widely debated among regulators, investors, and researchers. While CDS were blamed for destabilizing the financial system, they remain effective tools for hedging credit risk, especially for major banks, and produce positive informational externalities to market participants. This paper examines whether the introduction of CDS enhances the amount of firm-specific information impounded in stock prices. We use stock return synchronicity to measure the amount of firm-specific information reflected in stock prices, with more firm-specific information being associated with a lower level of synchronicity. We find that a firm’s stock return synchronicity decreases after the commencement of CDS trading. This finding is robust to different model specifications, synchronicity measures, and endogeneity controlling methodologies. Furthermore, the decrease in stock return synchronicity is more pronounced for CDS firms with higher credit risk. Overall, our evidence supports the positive role of CDS in improving informativeness of stock prices.     

A Macrofinance View of U.S. Sovereign CDS Premiums

Premiums on U.S. sovereign credit default swaps (CDS) have risen to persistently elevated levels since the financial crisis. We examine whether these premiums reflect the probability of a fiscal default—a state in which a balanced budget can no longer be restored by raising taxes or eroding the real value of debt by increasing inflation. We develop an equilibrium macrofinance model in which the fiscal and monetary policy stances jointly endogenously determine nominal debt, taxes, inflation, and growth. We show that the CDS premiums reflect the endogenous risk-adjusted probabilities of fiscal default. The calibrated model is consistent with elevated levels of CDS premiums but leaves dynamic implications quantitatively unresolved.     

Market discipline and too-big-to-fail in the CDS market: Does banks' size reduce market discipline?

This paper examines market discipline in the credit default swap (CDS) market and the potential distortion of CDS spreads which arises when a bank is thought to be too-big-to-fail. Overall, we find evidence for market discipline in the CDS market. However, CDS prices are distorted by a size effect when a bank is considered to be too-big-to-fail. A 1 percentage point increase in size reduces the CDS spread of a bank by about 2 basis points. We further find that some banks have already reached a size that makes them too-big-to-be-rescued. While the price distortion for these banks decreases, the existence of banks that are considered to be too-big-to-rescue raises important new issues for banking supervisors.     

Sovereign debt renegotiation and credit default swaps

A credit default swap (CDS) contract provides insurance against default. This paper incorporates the contract into a sovereign default model and demonstrates that the existence of a CDS market results in lower default probability, higher debt levels, and lower financing costs for the country. Uncertainty over the insurance payout when the debt is renegotiated explains why in the data, as the output declines, the CDS spread becomes lower than the bond spread. Finally, my results show that the 2012 CDS naked ban, that decreased the levels of CDS for European countries, is a welfare reducing policy.     

Large EU banks’ capital and liquidity: Relationship and impact on credit default swap spreads

This paper explores the interrelations between bank capital and liquidity and their impact on the market probability of default. We employ an unbalanced panel of large European banks with listed credit default swap (CDS) contracts during the period 2005–2015, which allow us to consider the impact of the recent financial crisis. Our evidence suggests that bank capital and funding liquidity risk as defined in Basel III have an economically meaningful bidirectional relationship. However, the effect on CDS spread is ambiguous. While capital appears to have a relatively large impact on CDS spread changes, liquidity risk is priced only when it falls below the regulatory threshold.     

Contagion inside the credit default swaps market: The case of the GM and Ford crisis in 2005

We study the General Motors (GM) and Ford crisis in 2005 in order to determine if the credit default swap (CDS) market is subject to contagion effects. Has the crisis spread to the whole (CDS) market? To answer this question, we study the correlations between CDS premia, by using a sample of 226 CDSs on major US and European firms. We do evidence a significant rise in correlations during the crisis episode, but little “shift-contagion” as defined by Forbes and Rigobon (2002). When using dynamic measures of correlations (EWMA and DCC-GARCH), we also show that correlations significantly increased during the crisis, especially in the first week.     

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.     

The dynamics of sovereign yields over swap rates in the Eurozone market

We explore the dynamics of the adjusted swap spread (calculated as the difference between the swap rate and sovereign yields over the credit default swap premium) in the Eurozone market by studying three markets simultaneously: 1) sovereign bonds, 2) credit default swaps (CDS), and 3) swap rates. We find a strong relationship between the markets. Specifically, based on the no-arbitrage argument, we show that the difference between the Euribor and Repo rates is a key driver of the adjusted swap spread. However, illiquidity premiums and systemic risk also play an essential role in times of economic stress and for less creditworthy countries. The findings also shed light on the recent negative swap spreads puzzle in the United States.     

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.     

Do sovereign credit default swaps represent a clean measure of sovereign default risk? A factor model approach

In this study, we use a factor model in order to decompose sovereign Credit Default Swaps (CDS) spreads into default, liquidity, systematic liquidity and correlation components. By calibrating the model to sovereign CDSs and bonds we are able to present a better decomposition and a more accurate measure of spread components. Our analysis reveals that sovereign CDS spreads are highly driven by liquidity (55.6% of default risk and 44.32% of liquidity) and that sovereign bond spreads are less subject to liquidity frictions and therefore could represent a better proxy for sovereign default risk (73% of default risk and 26.86% of liquidity). Furthermore, our model enables us to directly study the effect of systematic liquidity and flight-to-liquidity risks on bond and CDS spreads through the factor sensitivity matrix. We find that these risks do have an influence on the default intensity and they contribute significantly to spread movements. Finally, our empirical results advance the idea that the increase in the CDS spreads observed during the crisis period was mainly due to a surge in liquidity rather than to an increase in the default intensity.     

Using extreme value theory to estimate the likelihood of banking sector failure

Abstract

The growing interest in management of credit risk and estimation of default probabilities has given rise to a range of more or less elaborate credit risk models. While these models work well for non-financial firms they are usually not very successful in capturing the financial strength of banks. As an answer to this, Hall and Miles suggest a simple approach of estimating bank failure probabilities based solely on their stock prices. This paper suggests an extension to the Hall and Miles model using extreme value theory and applies the extended model to the Swedish banking sector around the banking crisis of the early 1990s. The extended model captures very well the increased likelihood of a systemic banking sector failure around the peak of the crisis and it produces default probabilities that are more stable, more realistic and more consistent with Moody’s and Fitch rating implied default rates than probabilities from the original Hall and Miles model.     

Do banks’ overnight borrowing rates lead their CDS price? Evidence from the Eurosystem

We construct a measure of a bank's relative creditworthiness from the Eurosystem's proprietary inter-bank loan data: average overnight borrowing rate relative to an overnight rate index (AOR). We then investigate the dynamic relationship between AOR and the credit default swap price relative to the corresponding market index of 60 banks during 2008–2013. Price discovery mainly takes place in the CDS market, but AOR also contributes to it. The lagged daily changes of AOR help predict CDS. This indicates that AOR includes private information, which the CDS market does not immediately incorporate. We further show that the private information advantage is concentrated on days of market stress and on banks, which mainly borrow from relationship lender banks. Such borrower banks are typically smaller, have weaker ratings, and are likely to reside in crisis countries. Competent authorities can use AOR as a complementary indicator of banks’ concurrent health.     

Time-frequency comovements between sovereign CDS and exchange rates: The role of sentiments

This study introduces various bivariate, multiple, and partial wavelet methods to explore the role of inclusive market sentiments in comovements between sovereign credit default swap (CDS) spreads and exchange rates from a time-frequency perspective. The empirical results show that the sovereign CDS spread and exchange rate nexus varies across countries and time-frequency domains. Further, the strong and positive comovements between sovereign CDS spreads and exchange rates are uncovered, concentered at medium- and long-term frequencies, especially in commodity-dependent countries. Among the various market sentiments, Volatility Index and Chicago Board Options Exchange Crude Oil Volatility are revealed as the most critical factors driving the comovements in commodity-dependent countries. The findings provide important recommendations for investors, regulatory authorities, and policymakers to understand the pivotal roles of market sentiments in inducing comovement between sovereign CDS spreads and exchange rates.     

On the rationality of Korea's stock market: was the recent Korean financial crisis due to fundamental factors?

This paper examines whether the recent financial crisis in Korea was due to fundamental factors. To address this issue, we identify various components of Korea's stock market prices (KOSPI) and examine their responses to different types of shocks. Given the stationary behavior of KOSPI dividends, we relate stock price directly to earnings by deriving and using a log-linear model of the spread between price and earnings with a time-varying discount factor. Therefore, stock-price movements are explained by earnings (numerator component), time-varying discount factors (denominator component), and non-fundamental factors. Although we find evidence of substantial non-fundamental components in Korea's stock market prices, the sudden decline in Korea's stock market prices during the 1997 financial crisis was primarily due to fundamental components, in particular, the numerator component (e.g. earnings) combined with the denominator component (i.e. time-varying discount factor) rather than non-fundamental factors.     

A first-passage-time model under regime-switching market environment

In this paper, we suggest a first-passage-time model which can explain default probability and default correlation dynamics under stochastic market environment. We add a Markov regime-switching market condition to the first-passage-time model of Zhou [Zhou, C., 2001. An analysis of default correlations and multiple defaults. Review of Financial Studies 14, 555–576]. Using this model, we try to explain various relationship between default probability, default correlation, and market condition. We also suggest a valuation method for credit default swap (CDS) with (or without) counterparty default risk (CDR) and basket default swap under this model.Our numerical results provide us with several meaningful implications. First, default swap spread is higher in economic recession than in economic expansion across default swap maturity. Second, as the difference of asset return volatility between under bear market and under bull market increases, CDS spread increases regardless of maturity. Third, the bigger the intensity shifting from bull market to bear market, the higher the spread for both CDS without CDR and basket default swap.     

An Empirical Investigation of CDS Spreads Using a Regime-Switching Default Risk Model

Default risk in equity returns can be measured by structural models of default. In this article we propose a credit warning signal (CWS) based on the Merton Default Risk (MDR) model and a Regime-Switching Default Risk (RSDR) model. The RSDR model is a generalization of the MDR model, comprises regime-switching asset distribution dynamics, and thus produces more realistic default probability estimates in cases of deteriorating credit quality. Alternatively, it reduces to the MDR model. Using a dataset of U.S. credit default swap (CDS) contracts around the 2007-8 crisis we construct rating-based indices to investigate the MDR and RSDR implied probabilities of default in relation to the market-observed CDS spreads. The proposed CWS measure indicates an increase in implied default probabilities several months ahead of notable increases in CDS spreads.     

Macroeconomic Conditions and the Puzzles of Credit Spreads and Capital Structure

I build a dynamic capital structure model that demonstrates how business cycle variation in expected growth rates, economic uncertainty, and risk premia influences firms' financing policies. Countercyclical fluctuations in risk prices, default probabilities, and default losses arise endogenously through firms' responses to macroeconomic conditions. These comovements generate large credit risk premia for investment grade firms, which helps address the credit spread puzzle and the under‐leverage puzzle in a unified framework. The model generates interesting dynamics for financing and defaults, including market timing in debt issuance and credit contagion. It also provides a novel procedure to estimate state‐dependent default losses.     

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.     

Understanding the market reaction to shockwaves: Evidence from the failure of Lehman Brothers

The spectacular failure of the 150-year-old investment bank Lehman Brothers on September 15th, 2008 was a major turning point in the global financial crisis that broke out in the summer of 2007. Through the use of stock market data and credit default swap (CDS) spreads, this paper examines investors’ reaction to Lehman's collapse in an attempt to identify a spillover effect on the surviving financial institutions. The empirical analysis indicates that (i) the collateral damage was limited to the largest financial firms; (ii) the institutions most affected were the surviving “non-bank” financial services firms; and (iii) the negative effect was correlated with the financial conditions of the surviving institutions. We also detect significant abnormal jumps in CDS spreads that we interpret as evidence of sudden upward revisions in the market assessment of future default probabilities assigned to the surviving financial firms.     

The integration of the credit default swap markets during the US subprime crisis: Dynamic correlation analysis

This paper investigates the integration of the credit default swap (CDS) markets of 38 developed and emerging countries with the US market during the subprime crisis period by utilising dynamic conditional correlation from the multivariate GARCH model. Evidence reveals that the Lehman shock seems to have strengthened the integration, in particular, for developed markets. For both developed and emerging markets, declining US interest rates are found to be the main driving factor behind the higher level of correlation, suggesting that the CDS markets were heavily driven by the world largest economy when the crisis reached its peak.