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.

By examining the impact of capital regulation on bank risk-taking using a local estimation technique, this paper attempts to quantify for the first time the heterogeneous response of banks towards this type of regulation in banking sectors of western-type economies. Subsequently, using this information, we examine the sources of heterogeneity. The findings suggest that the impact of capital regulation on bank risk is very heterogeneous across banks and the sources of this heterogeneity can be traced into both bank and industry characteristics, as well as into macroeconomic conditions. An important implication of the findings is that common capital regulatory umbrellas are not sufficient to promote financial stability, especially if they are not accompanied by supervisory effectiveness. On the basis of our findings, we contend that more focus should be placed on the actions needed to restrain excessive risk-taking of banks.

This study investigates whether regulations have an independent effect on bank risk-taking or whether their effect is channeled through the market power possessed by banks. Given a well-established set of theoretical priors, the regulations considered are capital requirements, restrictions on bank activities and official supervisory power. We use data from the Central and Eastern European banking sectors over the period 1998–2005. The empirical results suggest that banks with market power tend to take on lower credit risk and have a lower probability of default. Capital requirements reduce risk in general, but for banks with market power this effect significantly weakens or can even be reversed. Higher activity restrictions in combination with more market power reduce both credit risk and the risk of default, while official supervisory power has only a direct impact on bank risk.

We examine (1) spillover effects between euro-area sovereigns and banking systems within national jurisdictions and (2) cross-country spillovers among ten countries during the euro-area crisis. We find that cross-country spillovers substantially amplify the doom loops between the sovereign and banking sectors. We also provide a test that supports the hypothesis that cross-country spillovers among southern-euro-area countries were of a different order from the spillovers among northern-euro-area countries. Our results also imply that, if shocks are idiosyncratic, spillover effects may help in reducing the impact for northern countries.

This paper provides an overview of visual analytics—the science of analytical reasoning enhanced by interactive visualizations tightly coupled with data analytics software—and discusses its potential benefits in monitoring systemic financial stability. The core strength of visual analytics is to combine visualization's high-bandwidth information channel to the human analyst with the flexibility and power of rapid-iteration analytics. This combination is especially valuable in the context of macroprudential supervision, which is increasingly dominated by large volumes of dynamic and heterogeneous data. Our contribution is to describe and categorize the analytical challenges faced by macroprudential supervisors, and to indicate where and how visual analytics can increase supervisors’ comprehension of the data stream, helping to transform it into actionable knowledge to support informed decision- and policy-making. The paper concludes with suggestions for a research agenda.

We examine the effects of bank’s political connection on bank performance and risk in China. We use hand-collected information on CEOs’ professional background to identify their political affiliations, and find that banks whose CEOs have former government experiences have higher return on assets, lower default risk, and lower credit risk. Additionally, politically connected banks have disproportionally higher performance when the CEOs previous worked in the same city where the current bank’s headquarter locates, had past banking experiences, spend more on entertainment and travel costs, and have higher previous administrative rankings (e.g., at the provincial or state level). These results suggest that politically connected banks have better access to lending to politically connected firms, which are high yield assets and more likely to be bailed out when in distress. Our results offer a mechanism of political rent seeking, consistent with the institutional environment of China’s banking and political system.

Despite the rising number of green finance policies, the socioeconomic determinants shaping them remain largely unexamined. Drawing from the literature analysing the relationship between regulation, market development and institutional economics , we contend that green finance policy adoption is driven by both market-based and institutional factors. Using a survival analysis approach to understand the levers influencing green finance policy adoption across 188 countries from 2000 to 2019, we find that exposure to the fossil fuel industry predominantly drives the initial issuance of green finance policies. The positive effect of fossil fuel commercial financing on the adoption of green finance policies exists in countries with high and medium climate change awareness levels. Meanwhile, in countries with a low climate change awareness level, fossil fuel government subsidies drive green finance policy adoption. Our study also highlights the role of the financial industry as one of the key actors in the policy cycle of green finance policies via two pathways: (i) affecting financial stability through financing oil and gas companies on primary financial markets and (ii) developing a market for sustainable finance products.