This paper studies banks' decision to form financial interconnections using a model of financial contagion that explicitly takes into account the crisis state of the world. This allows us to model the network formation decision as optimising behaviour of competitive banks, where they balance the...

We examine how the repo market operates during liquidity stress by applying network analysis to novel transaction-level data of the overnight gilt repo market including the COVID-19 crisis. During this crisis, the repo network becomes more connected, with most institutions relying on existing...

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and...

This paper presents a novel approach to investigate and model the network of euro area banks' large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral...

Oil-macro-financial linkages in Saudi Arabia are analyzed by applying panel econometric frameworks (multivariate and vector autoregression) to maceoeconomic and bank-level balance sheet data for 9 banks spanning 1999-2014. Lower growth of oil prices and non-oil private sector output leads to...

The spread of COVID-19, containment measures, and general uncertainty led to a sharp reduction in activity in the first half of 2020. Europe was hit particularly hard—the economic contraction in 2020 is estimated to have been among the largest in the world—with potentially severe...

The traditional approach to the stress testing of financial institutions focuses on capital adequacy and solvency. Liquidity stress tests have been applied in parallel to and independently from solvency stress tests, based on scenarios which may not be consistent with those used in solvency...

This paper examines the links between global oil price movements and macroeconomic and financial developments in the GCC. Using a range of multivariate panel approaches, including a panel vector autoregression approach, it finds strong empirical evidence of feedback loops between oil price...

The COVID-19 pandemic could result in large government interventions in the banking industry. To shed light on the possible consequences on market power, we rely on the experience of the global financial crisis and exploit granular data on government interventions in more than 800 banks across...

In this paper, we discuss whether and how bank lobbying can lead to regulatory capture and have real consequences through an overview of the motivations behind bank lobbying and of recent empirical evidence on the subject. Overall, the findings are consistent with regulatory capture, which...