Are all Credit Default Swap databases equal?

The presence of different prices in different databases for the same securities can impair the comparability of research efforts and seriously damage the management decisions based upon such research. In this study we compare the six major sources of corporate Credit Default Swap prices: GFI, Fenics, Reuters EOD, CMA, Markit and JP Morgan, using the most liquid single name 5-year CDS of the components of the leading market indexes, iTraxx (European firms) and CDX (US firms) for the period from 2004 to 2010. We find systematic differences between the data sets implying that deviations from the common trend among prices in the different databases are not purely random but are explained by idiosyncratic factors as well as liquidity, global risk and other trading factors. The lower is the amount of transaction prices available the higher is the deviation among databases. Our results suggest that the CMA database quotes lead the price discovery process in comparison with the quotes provided by other databases. Several robustness tests confirm these results.Credit Default Swap prices, Databases, Liquidity

Are all Credit Default Swap Databases Equal?

The presence of different prices in different databases for the same securities can impair the comparability of research efforts and seriously damage the management decisions based upon such research. In this study we compare the six major sources of corporate Credit Default Swap prices: GFI, Fenics, Reuters EOD, CMA, Markit and JP Morgan, using the most liquid single name 5-year CDS of the components of the leading market indexes, iTraxx (European firms) and CDX (US firms) for the period from 2004 to 2010. We find systematic differences between the data sets implying that deviations from the common trend among prices in the different databases are not purely random but are explained by idiosyncratic factors as well as liquidity, global risk and other trading factors. The lower is the amount of transaction prices available the higher is the deviation among databases. Our results suggest that the CMA database quotes lead the price discovery process in comparison with the quotes provided by other databases. Several robustness tests confirm these results.

Towards a Common European Monetary Union Risk Free Rate

A common European bond would yield a common European Monetary Union risk free rate. We present tentative estimates of this common risk free for the European Monetary Union countries from 2004 to 2009 using variables motivated by a theoretical portfolio selection model. First, we analyze the determinants of EMU sovereign yield spreads and find significant effects of the credit quality, macro, correlation, and liquidity variables. However, their effects are different before and after the current financial crisis, being stronger in the latter period. Robustness tests with different data frequencies, benchmarks, liquidity variables, cross section regressions and balanced panels confirm the initial results. We propose four different estimates of the common risk free rate and show that, in most cases, this common rate could imply savings in borrowing costs for all the countries involved.

Towards a common European monetary union risk free rate

A common European bond would yield a common European Monetary Union risk free rate. We present tentative estimates of this common risk free for the European Monetary Union countries from 2004 to 2009 using variables motivated by a theoretical portfolio selection model. First, we analyze the determinants of EMU sovereign yield spreads and find significant effects of the credit quality, macro, correlation, and liquidity variables. However, their effects are different before and after the current financial crisis, being stronger in the latter period. Robustness tests with different data frequencies, benchmarks, liquidity variables, cross section regressions and balanced panels confirm the initial results. We propose four different estimates of the common risk free rate and show that, in most cases, this common rate could imply savings in borrowing costs for all the countries involved

Are all credit default swap databases equal?

The presence of different prices in different databases for the same securities can impair the comparability of research efforts and seriously damage the management decisions based upon such research. In this study we compare the six major sources of corporate Credit Default Swap prices: GFI, Fenics, Reuters EOD, CMA, Markit and JP Morgan, using the most liquid single name 5-year CDS of the components of the leading market indexes, iTraxx (European firms) and CDX (US firms) for the period from 2004 to 2010. We find systematic differences between the data sets implying that deviations from the common trend among prices in the different databases are not purely random but are explained by idiosyncratic factors as well as liquidity, global risk and other trading factors. The lower is the amount of transaction prices available the higher is the deviation among databases. Our results suggest that the CMA database quotes lead the price discovery process in comparison with the quotes provided by other databases. Several robustness tests confirm these results

Short Sales Constraints and Financial Stability: Evidence from the Spanish 2011 Ban

This paper studies the main effects of the short sales ban implemented in August 2011 in the Spanish stock market along two dimensions: financial stability and market performance. Regarding the first, we show that short positions were a significant determinant of the probability of default of medium-sized banks before the ban. We find that, by weakening the contagion effect coming from the sovereign risk, the ban helped stabilise the probability of default of medium-sized banks, an effect which is not significant in the case of the largest banks and non-financials. Nonetheless, the stabilising power of the ban came at the cost of a large decline in the relative liquidity, trading volumes and price information efficiency of medium-sized banks stocks

Credit-Risk Valuation in the Sovereign CDS and Bonds Markets: Evidence from the Euro Area Crisis

We analyse the extent to which prices in the sovereign credit default swap (CDS) and bond markets reflect the same information on credit risk in the context of the current crisis of the European Monetary Union (EMU). We first document that deviations between CDS and bond spreads are related to counterparty risk, common volatility in EMU equity markets, market illiquidity, funding costs, flight-to-quality, and the volume of debt purchases by the European Central Bank (ECB) in the secondary market. Based on this we conduct a state-dependent price-discovery analysis that reveals that the levels of the counterparty risk and the common volatility in EMU equity markets, and the banks agreements to accept losses on their holdings of Greek bonds impair the ability of the CDS market to lead the price discovery process. On the other hand, the funding costs, the flight-to-quality indicator and the volume of debt purchases by the ECB worsen the efficiency of the bond market

Derivatives Holdings and Systemic Risk in the U.S. Banking Sector

This paper studies the impact of the banks portfolio holdings of financial derivatives on the banks individual contribution to systemic risk over and above the effect of variables related to size, interconnectedness, substitutability, and other balance sheet information. Using a sample of 91 U.S. bank holding companies from 2002 to 2011, we compare five measures of the banks contribution to systemic risk and find that the new measure proposed in this study, Net Shapley Value, outperforms the others. Using this measure we find that the banks holdings of foreign exchange and credit derivatives increase the banks contributions to systemic risk whereas holdings of interest rate derivatives decrease it. Nevertheless, the proportion of non-performing loans over total loans and the leverage ratio have much stronger impact on systemic risk than derivatives holdings. We find that before the subprime crisis credit derivatives decreased systemic risk whereas during the crisis increased it. So, credit derivatives seemed to change their role from shock absorbers to shock issuers. This effect is not observed in the other types of derivatives

Portfolio Choice with Indivisible and Illiquid Housing Assets: The Case of Spain

This paper presents a procedure for computing the theoretically optimal portfolio under the assumption that housing is an indivisible, illiquid asset that restricts the portfolio choice decision. The analysis also includes the financial constraints households may face when they apply for external funding. The set of financial assets that constitute the household's portfolios are bank time deposits, stocks, mortgage, and housing. We compare the theoretically optimal portfolio against Spanish household's actual choices using a unique data set, the Spanish Survey of Household Finance. In comparison with the optimal portfolio, households significantly underinvest in stocks and deposits. In the case of mortgages, the optimal and actual portfolios weights are not unequal. At a more disaggregated level, some additional differences emerge that are explained by demographic, educational, and income characteristics

Liquidity Commonalities in the Corporate CDS Market around the 2007-2012 Financial Crisis

This study presents robust empirical evidence suggesting the existence of significant liquidity commonalities in the corporate Credit Default Swap (CDS) market. Using daily data for 438 firms from 25 countries in the period 2005-2012 we find that these commonalities vary over time, being stronger in periods in which the global, counterparty, and funding liquidity risks increase. However, commonalities do not depend on firm's characteristics. The level of the liquidity commonalities differs across economic areas being on average stronger in the European Monetary Union. The effect of market liquidity is stronger than the effect of industry specific liquidity in most industries excluding the banking sector. We document the existence of asymmetries in commonalities around financial distress episodes such that the effect of market liquidity is stronger when the CDS market price increases. The results are not driven by the CDS data imputation method or by the liquidity of firms with high credit risk and are robust to alternative liquidity measures