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Съдържанието не е налично на български език.

Barbara Meller

25 August 2021
OCCASIONAL PAPER SERIES - No. 260
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Abstract
The Basel Committee on Banking Supervision (BCBS) framework used to identify global systemically important banks (G-SIBs) is based on banks’ balance sheet information, leaving information derived from market data untapped. Among the most widely used market-based systemic risk measures, Adrian and Brunnermeier’s (2016) Delta-Conditional Value at Risk (ΔCoVaR) best captures the system-wide loss-given-default (sLGD) and conditional impact concepts underlying the BCBS GSIB methodology. In this paper we investigate, using a global sample of the largest banks, whether a score based on ΔCoVaR could be useful for ranking G-SIBs or for calibrating an alternative G-SIB indicator weighting scheme. In our first analysis we find that the ΔCoVaR score is positively correlated with all five of the systemic importance categories of the BCBS framework. However, considerable information/noise with regard to the ΔCoVaR score remains unexplained. Before more is known about this residual, a score based on ΔCoVaR is difficult to interpret and is inappropriate for identifying G-SIBs in a policy context. Besides, we find that a ranking based on ΔCoVaR is subject to substantial variability over time and across empirical specifications. In our second analysis we use ΔCoVaR to place the current static weighting scheme for G-SIB indicators on an empirical footing. To do this we regress ΔCoVaR on factors derived from the G-SIB indicators. This approach allows us to focus on the part of ΔCoVaR which can be explained by balance sheet information which alleviates the identified issues of interpretability and variability. The derived weights are highest for the cross-jurisdictional activity (43%) and size (27%) categories. We conclude that ΔCoVaR is not suitable for use as an alternative G-SIB score but could be useful for policymakers to pursue an empirically grounded weighting scheme for the existing G-SIB indicators.
JEL Code
G20 : Financial Economics→Financial Institutions and Services→General
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
4 October 2018
OCCASIONAL PAPER SERIES - No. 214
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Abstract
This study provides a conceptual and monitoring framework for systemic liquidity, as well as a legal assessment of the possible use of macroprudential liquidity tools in the European Union. It complements previous work on liquidity and focuses on the development of liquidity risk at the system-wide level. A dashboard with a total of 20 indicators is developed for the financial system, including banks and non-banks, to assess the build-up of systemic liquidity risk over time. In addition to examining liquidity risks, this study sheds light on the legal basis for additional macroprudential liquidity tools under existing regulation (Article 458 of the Capital Requirements Regulation (CRR), Articles 105 and 103 of the Capital Requirements Directive (CRD IV) and national law), which is a key condition for the implementation of macroprudential liquidity tools.
30 April 2018
MACROPRUDENTIAL BULLETIN - ARTICLE - No. 5
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Abstract
This article presents stylised facts from the euro area network of large exposures and derives model-based interconnectedness measures of SSM significant institutions. The article has three main findings. First, the interbank network is relatively sparse and suggests a core-periphery network structure. Second, the more complex network measures on average correlate highly with the more simple size-based interconnectedness indicators, constructed following the EBA guidelines on the calibration of O-SII buffers. Third, there is nevertheless value for policymakers to take into account network-based measures in addition to the size-based interconnectedness indicators, as for some individual banks those measures can deviate considerably.
JEL Code
C63 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Computational Techniques, Simulation Modeling
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation