This paper studies how the Greek sovereign credit event in March 2012 impacted the credit default swap (CDS) market from market-wide and investor behaviour perspectives, using both network tools to a dataset of snapshots of the global bilateral CDS exposures and a panel analysis on CDS spreads. Regarding the CDS spreads, we find very little discernible direct impact of the Greek credit event on CDS spreads overall. This finding provides some further evidence that the Greek credit event was well anticipated by most market participants. However, we find several significant changes in the Greek CDS network structure following the credit event: the number of connections via exposures declined significantly, the directionality of the positions (net long vs net short) of the main groups of market participants reversed, while none of the non-banks returned to trade Greek CDSs until the last observation of dataset (October 2014). Regarding indirect effects to other CDS markets, we find evidence of temporary spill-over effects on CDS reference entities with credit risk associated with the risk of the Greek sovereign. In particular, the market and counterparty structures changed temporarily with all types of traders decreasing their exposures to the EU periphery sovereign reference entities and also changing their trading counterparties, while after some time, the structure of the market returned to a similar one observed before the credit event. Finally, we find some support for the bank-sovereign nexus, as there was a consistent retreat from the CDS exposures on banks in the EU periphery countries, contrary to banks residing in the other EU countries.

We model the expected support of banks with credit ratings from Moody's and Fitch, taking explicitly into account the capacity and willingness of governments to provide support in case of need, as well as their concerns about moral hazard (i.e., that the expected support may induce banks to assume bigger risks). Our results suggest that moral hazard concerns are relatively weak. In addition, a substantial part of the expected support can be attributed to the quality of a country's institutions. These findings have important implications for the dynamics of banking crises, the value of the ‘fair’ insurance premium banks might be called upon to pay for the expected support, as well as for ways to reduce the resulting negative externalities.

Between 1996 and 2005 the number of central banks that publish a financial stability review (FSR) increased from 1 to 40. A FSR may contribute to financial stability, increase accountability of authorities responsible for financial stability, and strengthen co-operation between the various authorities. The occurrence of a banking crisis in the past, income per capita, and European Union membership increase the likelihood that a FSR is published. The content of FSRs differs widely; on average only 33% of the indicators as suggested by the IMF is actually published. The amount of information provided seems unrelated to the health of the banking system.

We discuss the thorny issue of how to define financial stability, and conclude that the best approach is to define the characteristics of an episode of financial instability, and to define financial stability as a state of affairs in which episodes of instability are unlikely to occur. We then discuss public policies to achieve financial stability, distinguishing between preventive and remedial measures, and explore the costs and benefits of such policies. We conclude with some comments on current issues in financial regulation, including Basel 2.

This paper investigates the optimal monetary instrument in a New-Keynesian model with multiple monetary assets. We compare a standard interest rate rule to a k-percent rule for three alternative monetary aggregates determined within our model: the monetary base, the simple sum measure of money, and the Divisia measure. Welfare results are striking. While the interest rate dominates the other two monetary aggregate k-percent rules, the Divisia k-percent rule outperforms the interest rate rule. Next we study the ability of Granger Causality tests – in the context of data generated from our model – to correctly identify welfare improving instruments. We find the interest rate Granger Causes both output and prices at extremely high significance levels. The same result is obtained for monetary base and the simple-sum monetary aggregate. The test results for Divisia are the weakest as Divisia fails to Granger Cause prices. We conclude that if the choice of instrument is based solely on its propensity to Granger Cause macroeconomic targets, a central bank may choose an inferior policy instrument.

The aim of this paper is to study the interaction between Basel I, II and III regulations with monetary policy. In order to do that, we use a dynamic stochastic general equilibrium (DSGE) model with a housing market, banks, borrowers, and savers. Results show that monetary policy needs to be more aggressive when the capital requirement ratio (CRR) increases because it is less effective in this case. However, this policy combination brings a more stable economic and financial system. We also analyze the optimal way to implement the countercyclical capital buffer stated by Basel III. We propose that the CRR follows a rule that responds to deviations of credit from its steady state. We find that the optimal implementation of this macroprudential rule together with monetary policy brings extra financial stability with respect to Basel I and II.

This study finds that equity returns in the banking sector in the wake of the Great Recession and the European sovereign debt crisis have been driven mainly by weak growth prospects and heightened sovereign risk; and to a lesser extent by deteriorating funding conditions and investor sentiment. While the equity return performance in the banking sector has been dismal in general, there is some evidence that better capitalized and less leveraged banks have outperformed their peers in times of stress.

Building on the literature on systemic risk and financial contagion, the paper introduces estimated network linkages into an early-warning model to predict bank distress among European banks. We use multivariate extreme value theory to estimate equity-based tail-dependence networks, whose links proxy for the markets’ view of bank interconnectedness in case of elevated financial stress. The paper finds that early warning models including estimated tail dependencies consistently outperform bank-specific benchmark models without networks. The results are robust to variation in model specification and also hold in relation to simpler benchmarks of contagion. Generally, this paper gives direct support for measures of interconnectedness in early-warning models, and moves toward a unified representation of cyclical and cross-sectional dimensions of systemic risk.

This paper analyses the network structure of the credit default swap (CDS) market and its determinants, using a unique dataset of bilateral notional exposures on 642 financial and sovereign reference entities. We find that the CDS network is centred around 14 major dealers, exhibits a “small world” structure and a scale-free degree distribution. A large share of investors are net CDS buyers, implying that total credit risk exposure is fairly concentrated. Consistent with the theoretical literature on the use of CDS, the debt volume outstanding and its structure (maturity and collateralization), the CDS spread volatility and market beta, as well as the type (sovereign/financial) of the underlying bond are statistically significantly related—with expected signs—to structural characteristics of the CDS market.