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Anton van der Kraaij

24 May 2016
Financial Stability Review Issue 1, 2016
The new bail-in tool in the EU bank resolution toolkit is an important step forward to safeguard financial stability in Europe, notably in relation to mitigating moral hazard and other problems inherent in a strong reliance on bailouts. At the same time, it is important to understand the potential contagion channels in the financial system following a bail-in and prior to resolution in order to assess potential systemic implications of the use of the bail-in tool. This special feature outlines salient features of the new requirements and then presents a multi-layered network model of banks’ bail-inable securities that could help in gauging potential contagion risk and, prior to a resolution, identifying mitigating measures to avoid systemic implications.
JEL Code
G00 : Financial Economics→General→General
2 February 2017
We present a tractable framework to assess the systemic implications of bail-in. To this end, we construct a multi-layered network model where each layer represents the securities cross holdings of a specific seniority among the largest euro area banking groups. On this basis, the bail-in of a bank can be simulated to identify the direct contagion risk to the other banks in the network. We find that there is no direct contagion to creditor banks. Spill-overs also tend to be small due to low levels of securities cross-holdings in the interbank network. We also quantify the impact of a bail-in on the different liability holders. In the baseline scenario, shareholders and subordinated creditors are always affected by the bail-in, senior unsecured creditors in 75% of the cases. Finally, we compute the effect of the bail-in on the network topology in each layer. We find that a bail-in significantly reshapes interbank linkages within specific seniority layers.
JEL Code
G01 : Financial Economics→General→Financial Crises
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
C63 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Computational Techniques, Simulation Modeling
24 May 2018
Financial Stability Review Issue 1, 2018
This box assesses potential financial stability concerns related to the rapidly growing market for crypto-assets. Crypto-assets (e.g. bitcoin, ether and ripple) are a new, innovative and high-risk digital asset class.21 Recent price developments and market interest in crypto-assets have given rise to concerns about potential financial stability implications. This box presents key facts on crypto-assets, concluding that they do not currently pose a material risk to financial stability in the euro area, but warrant careful monitoring.