Evaluating corporate credit risks in emerging markets

Corporate leverage among emerging market firms went up considerably after the 2007–09 Global Financial Crisis (GFC). We investigate how the increased emerging market corporate leverage in the post-GFC period (2010–15) impacted the underlying credit risk, compared to the pre-GFC (2002–2006) and GFC (2007–09) periods. Using firm-level credit risk, financial, and balance sheet data for 350 firms in 23 emerging markets, we find that leverage growth leads to a significant increase in corporate credit default swap (CDS) spreads only in the post-GFC period, and the incremental effect is mainly evident among risky firms (firms with high leverage and idiosyncratic volatility). In contrast, emerging market CDS spreads during the GFC period are mainly driven by global market risk factors. The post-GFC corporate debt vulnerability is mitigated for high growth prospect firms and firms domiciled in countries with high net capital inflows and superior governance. While corporate leverage growth impacts aggregate corporate credit risk, there is no evidence that it increases sovereign credit risk. Our paper contributes to the recent literature on potential sources of default risk in emerging markets.     

The role of managerial risk‐taking in the ‘rise and fall’ of the CDS market

Since the innovation of credit default swaps (CDSs) in 1997, the market for CDSs grew dramatically to $62 trillion in 2007 (ISDA 2010). However, this market declined significantly with the onset of the GFC, prompting the question, ‘What lies behind the phenomenal growth and the eventual collapse of the CDS market?’ Using CDS spread data from 319 bank and non‐bank financial institutions across 33 countries over the period 2001–2010, I provide evidence of the determinants that affect risk‐taking by financial institutions, proxied by CDS spreads, and argue within an agency theoretical framework that managerial risk‐taking contributed to the ‘rise and fall’ of the CDS market.     

The sensitivity of the credit default swap market to financial analysts’ forecast revisions

We examine the impact of analysts’ earnings per share (EPS) and cash flow per share (CPS) forecast revisions on the market for credit default swaps. We find that while the issuance of both EPS and CPS forecast revisions are inversely associated with changes in credit default swap (CDS) spreads, cash flow forecast revisions have a larger effect. We demonstrate that the relationship between CPS forecast revisions and CDS spreads tends to be stronger in cases of financial distress. We provide evidence that cash flow forecasts dominate earnings forecasts in some situations and that participants in the CDS market discriminate between analysts' forecast revisions and recommendation changes.     

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.     

Funding liquidity shocks in a quasi-experiment: Evidence from the CDS Big Bang

We use the advent of new credit default swap (CDS) trading conventions in April 2009—the CDS Big Bang—to study how a shock to funding liquidity impacts market liquidity. After the Big Bang, traders are required to pay upfront fees to execute CDS transactions, with the size of the fees depending on the level of CDS spreads. While CDS bid-ask spreads decline in aggregate after the Big Bang, they do so less for contracts that require larger fees. Furthermore, the funding effect is stronger for smaller and riskier firms and for noncentrally cleared contracts. The effect also becomes stronger after Deutsche Bank's exit.     

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.     

Limited Investment Capital and Credit Spreads

Using proprietary credit default swap (CDS) data, I investigate how capital shocks at protection sellers impact pricing in the CDS market. Seller capital shocks—measured as CDS portfolio margin payments—account for 12% of the time‐series variation in weekly spread changes, a significant amount given that standard credit factors account for 18% during my sample. In addition, seller shocks possess information for spreads that is independent of institution‐wide measures of constraints. These findings imply a high degree of market segmentation, and suggest that frictions within specialized financial institutions prevent capital from flowing into the market at shorter horizons.     

Credit spread interdependencies of European states and banks during the financial crisis

We investigate the interdependence of the default risk of several Eurozone countries (France, Germany, Italy, Ireland, the Netherlands, Portugal, and Spain) and their domestic banks during the period between June 2007 and May 2010, using daily credit default swaps (CDS). Bank bailout programs changed the composition of both banks’ and sovereign balance sheets and, moreover, affected the linkage between the default risk of governments and their local banks. Our main findings suggest that in the period before bank bailouts the contagion disperses from bank credit spreads into the sovereign CDS market. After bailouts, a financial sector shock affects sovereign CDS spreads more strongly in the short run. However, the impact becomes insignificant in the long term. Furthermore, government CDS spreads become an important determinant of banks’ CDS series. The interdependence of government and bank credit risk is heterogeneous across countries, but homogeneous within the same country.     

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.     

Pricing Sovereign Credit Risk of Poland: Evidence from the CDS Market

We analyze the market assessment of sovereign credit risk using a reduced-form model to price the credit default swap (CDS) spreads, thus enabling us to derive values for the probability of default (PD) and loss given default (LGD) from the quotes of sovereign CDS contracts. We compare different specifications of the models allowing for both fixed and time-varying LGD, and we use these values to analyze the sovereign credit risk of Polish debt throughout the period of a global financial crisis. Our results suggest the presence of a low LGD and a relatively high PD during a recent financial crisis.     

The bullwhip effect and credit default swap market: A study based on firm-specific bullwhip effect measure

This paper explores the financial implications of the bullwhip effect in the credit default swap (CDS) market. Using firms' supply chain hierarchical positions to proxy for exposure to the bullwhip effect and CDS positions data, we find that positions further upstream within the supply chain network are associated with more CDS positions with economically significant magnitudes, suggesting that investors employ CDS contracts to hedge against the financial risk of underlying firms that are exposed to a greater bullwhip effect. The positive impact of the bullwhip effect on CDS positions is more pronounced for firms with greater information uncertainty. Our results hold after we control for sample selection bias, rule out an industry-level bullwhip effect, mitigate the effect of hedging demand for accounts payable and debt exposure, and remove the influence of risk pooling, exposure to productivity shocks, and the financial crisis. This study contributes to both the supply chain management and finance literature.     

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.     

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.     

Bank credit risk and macro-prudential policies: Role of counter-cyclical capital buffer

This paper investigates the impact of macro-prudential policy (proxied by the counter-cyclical capital buffer (CCyB)) on bank credit risk during uncertain times, as banking sector stability is crucial in promoting financial intermediation. Using a unique daily data set consisting of 4939 credit default swaps (CDS) of 70 banks from 25 countries over the period 2010–2019, we find that CCyB tightening decreases bank-level CDS spreads, while CCyB loosening increases CDS spreads. This heterogeneous effect of CCyB arises due to its asymmetric effect on the capital ratio (i.e., the equity-to-total assets ratio) of banks. Tightening CCyB significantly increases capital, whereas loosening CCyB does not impact capital. Thus, the risks that emanate from the banking sector during periods of heightened uncertainty and financial distress can be significantly dampened when CCyB regulation is enabled. Consequently, macro-prudential policies for banks to hold higher levels of capital during good times are justified to contain financial market risks during downturns.     

Market and Model Credit Default Swap Spreads: Mind the Gap!

Structural models of default establish a relation across the fair values of various asset classes (equity, bonds, credit derivatives) referring to the same company. In most circumstances such relation is verified in practice, as different financial assets tend to move in the same direction at similar speed. However, occasional deviations from the theoretical fair values occur, especially in times of financial turmoil. Understanding how the dynamics of the theoretical fair values of various assets compares to that of their market values is crucial to a number of market participants. This paper investigates whether a popular structural model, the CreditGrades approach proposed by Finger (2002) , Stamicar and Finger (2005) , succeeds in explaining the dynamic relation between equity/option variables and Credit Default Swap (CDS) premia at individual company level. We find that CDS model spreads display a significant correlation with CDS market spreads. However, the gap between the two is time varying and widens substantially in times of financial turbulence. The analysis of the gap dynamics reveals that this is partly due to episodes of decoupling between equity and credit markets, and partly due to shortcomings of the model. Finally, we observe that model spreads tend to predict market spreads.     

Cross-market informed trading in the CDS and option markets

This paper analyzes how informed traders balance leverage and liquidity in making cross-market trading decisions. Our findings are three-fold. Using daily data on the actively traded North American CDX Investment Grade and High Yield indexes from 2010 to 2017, first, we find robust evidence that, when the credit default swap (CDS) market is illiquid, informed traders do not hesitate to exploit their information advantage in the option market, and this manifests mainly for negative credit news. Second, we find that informed trading occurs predominantly in the option market for low-rated firms due to high adverse selection risk in the CDS market. Third, there is strong evidence of informed trading taking place in the CDS market for financial firms and we argue that this is due to the interdealer network through which CDS dealers obtain private information about other financial firms and their privileged position as market makers to be able to disguise their informed trades as ordinary market-making activities. Finally, we propose re-thinking market efficiency and how to advance it in a direction which does not privilege a small circle of financiers or create monopoly while keeping the markets liquid and tranquil at all times.     

It is not only what you say,but how you say it: ESG,corporate news,and the impact on CDS spreads

We assess the influence of corporate news on costs of financing for a sample of large European and U.S. firms from 2006 to 2016. Focusing on environmental, social, and governance (ESG) news items, we take into account volume (number of news items), tonality (positive, neutral, negative), and source (financial or mass media). We find that (1) the volume of ESG-related news is significantly associated with credit default swap (CDS) spreads and therefore matters for companies' refinancing costs; (2) news with positive (negative) tonality is associated with lower (higher) CDS spreads by about 4% (6%); (3) tonality matters even more for ESG-related news. These results hold for different subsamples and alternate specifications, and are relatively insensitive to omitted variables.     

Dynamic credit default swap curves in a network topology

Systemically important banks are connected and their default probabilities have dynamic dependencies. An extraction of default factors from cross-sectional credit default swap (CDS) curves allows us to analyze the shape and the dynamics of default probabilities. In extending the Dynamic Nelson Siegel (DNS) model to an across firm multivariate setting, and employing the generalized variance decomposition of Diebold and Yilmaz [On the network topology of variance decompositions: Measuring the connectedness of financial firms. J. Econom., 2014, 182(1), 119–134], we are able to establish a DNS network topology. Its geometry yields a platform to analyze the interconnectedness of long-, middle- and short-term default factors in a dynamic fashion and to forecast the CDS curves. Our analysis concentrates on 10 financial institutions with CDS curves comprising of a wide range of time-to-maturities. The extracted level factor representing long-term default risk shows a higher level of total connectedness than those derived for short-term and middle-term default risk, respectively. US banks contributed more to the long-term default spillover before 2012, whereas European banks were major default transmitters during and after the European debt crisis, both in the long-term and short-term. The comparison of the network DNS model with alternatives proposed in the literature indicates that our approach yields superior forecast properties of CDS curves.     

Market conditions,default risk and credit spreads

This study empirically examines the impact of the interaction between market and default risk on corporate credit spreads. Using credit default swap (CDS) spreads, we find that average credit spreads decrease in GDP growth rate, but increase in GDP growth volatility and jump risk in the equity market. At the market level, investor sentiment is the most important determinant of credit spreads. At the firm level, credit spreads generally rise with cash flow volatility and beta, with the effect of cash flow beta varying with market conditions. We identify implied volatility as the most significant determinant of default risk among firm-level characteristics. Overall, a major portion of individual credit spreads is accounted for by firm-level determinants of default risk, while macroeconomic variables are directly responsible for a lesser portion.     

The information content of option-implied volatility for credit default swap valuation

Credit default swaps (CDS) are similar to out-of-the-money put options in that both offer a low cost and effective protection against downside risk. This study investigates whether put option-implied volatility is an important determinant of CDS spreads. Using a large sample of firms with both CDS and options data, we find that individual firms’ put option-implied volatility dominates historical volatility in explaining the time-series variation in CDS spreads. To understand this result, we show that implied volatility is a more efficient forecast for future realized volatility than historical volatility. More importantly, the volatility risk premium embedded in option prices covaries with the CDS spread. These findings complement existing empirical evidence based on market-level data.