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Jan Klacso

3 May 2017
STATISTICS PAPER SERIES - No. 20
Details
Abstract
The Consolidated Banking Data CBD) are a key component of the ECB/ESCB statistical toolbox for financial stability analysis. This dataset, which contains all the relevant dimensions of systemic risk stemming from and affecting national banking systems, is compiled from firm-level supervisory returns. With the entry into force of the new set of European Banking Authority (EBA) Implementing Technical Standards on Supervisory Reporting in 2014, the whole CBD statistical framework had to be reshaped. In August 2015 the first data for the revised CBD were released. This paper deals with the main issues in the challenging endeavour of transposing firmlevel supervisory returns, often based on different accounting systems, into comprehensive aggregate statistics, while ensuring as far as possible continuity in the time series for indicators and aggregates calculated from different successive data models. At the same time, the new CBD has substantially enlarged the quantity and increased the quality of data, available to the users. This paper provides a description of the database, together with some examples drawn from it.
JEL Code
C82 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Methodology for Collecting, Estimating, and Organizing Macroeconomic Data, Data Access
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
3 May 2017
STATISTICS PAPER SERIES - No. 20
Details
Abstract
The Consolidated Banking Data CBD) are a key component of the ECB/ESCB statistical toolbox for financial stability analysis. This dataset, which contains all the relevant dimensions of systemic risk stemming from and affecting national banking systems, is compiled from firm-level supervisory returns. With the entry into force of the new set of European Banking Authority (EBA) Implementing Technical Standards on Supervisory Reporting in 2014, the whole CBD statistical framework had to be reshaped. In August 2015 the first data for the revised CBD were released. This paper deals with the main issues in the challenging endeavour of transposing firmlevel supervisory returns, often based on different accounting systems, into comprehensive aggregate statistics, while ensuring as far as possible continuity in the time series for indicators and aggregates calculated from different successive data models. At the same time, the new CBD has substantially enlarged the quantity and increased the quality of data, available to the users. This paper provides a description of the database, together with some examples drawn from it.
JEL Code
C82 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Methodology for Collecting, Estimating, and Organizing Macroeconomic Data, Data Access
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages