We compare the market pricing of euro area government bonds and the corresponding Credit Default Swaps (CDSs). In particular, we analyse the “basis” defined as the difference between the premium on the CDS and the credit spread on the underlying bond. Our sample of weekly data covers the period from January 2007 to December 2012 and contains several episodes of sovereign market distress. Overall, we observe a complex relationship between the derivatives market and the underlying cash market characterised by sizable deviations from the no-arbitrage relationship (i.e. basis equal to zero). We show that short-selling frictions explain the persistence of positive basis deviations while funding frictions explain the persistence of negative basis deviations which are observed for countries with weak public finances. Moreover, we show that the “flight-to-quality/liquidity” phenomenon in bond markets is a key driver of the large positive basis of better rated countries.

We develop a framework to analyse the credit default swap (CDS) market as a network of risk transfers among counterparties. From a theoretical perspective, we introduce the notion of flow-of-risk and provide sufficient conditions for a bow-tie network architecture to endogenously emerge as a result of intermediation. This architecture shows three distinct sets of counterparties: (i) Ultimate Risk Sellers (URS), (ii) Dealers (indirectly connected to each other), (iii) Ultimate Risk Buyers (URB). We show that the probability of widespread distress due to counterparty risk is higher in a bow-tie architecture than in more fragmented network structures. Empirically, we analyse a unique global dataset of bilateral CDS exposures on major sovereign and financial reference entities in 2011–2014. We find the presence of a bow-tie network architecture consistently across both reference entities and time, and that the flow-of-risk originates from a large number of URSs (e.g. hedge funds) and ends up in a few leading URBs, most of which are non-banks (in particular asset managers). Finally, the analysis of the CDS portfolio composition of the URBs shows a high level of concentration: in particular, the top URBs often show large exposures to potentially correlated reference entities.