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Reporting Info 22 May 2014

Reporting Info 22 May 2014. Agenda. Revamp of data collection in January – Jyrki Lehtinen Money market statistics – Ellu Hintikka Granular credit database – Ellu Hintikka, Essi Tamminen, Jyrki Lehtinen, Saija Kuivalainen Other matters – Ellu Hintikka.

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Reporting Info 22 May 2014

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  1. Reporting Info 22 May 2014

  2. Agenda • Revamp of data collection in January – Jyrki Lehtinen • Money marketstatistics – Ellu Hintikka • Granularcreditdatabase – Ellu Hintikka, Essi Tamminen, Jyrki Lehtinen, Saija Kuivalainen • Othermatters – Ellu Hintikka

  3. Granularcreditdatabase – background • The financialcrisishashighlighted the need for moredetailedinformation on types of loans and creditrisk in the followingareas: • Monetarypolicyanalysis and evaluation of monetarypolicy transmission mechanism • Monetarypolicyoperations • Euro areacollateral management • Macroeconomicstabilitysurveillance and analysis • Statistics and otheranalyses • Research • Banking supervision

  4. Granularcreditdatabase – background • Decision ECB/2014/6 on the organisation of preparatory measures for the collection of granular credit data by the European System of Central Banks • www.ecb.europa.eu/ecb/legal/pdf/en_dec_2014_6.pdf • Requiresthatcentralbanksstartpreparatorymeasures for constructinggranularcreditdatabases. Progressreports on preparatorymeasures to besubmittedtwice a year to the StatisticsCommittee/GoverningCouncil. 

  5. Granularcreditdatabase – objective (1/2) • Flexible, multi-purposedatabasecontaining a core set of harmonised data on types of loans, off-balance-sheetcreditexposures, creditderivatives, securities • Mayincludeaggregated data • Coverscreditinstitutions and otherloan-providingfinancialinstitutions • Construction in phases (national decisionspermitted); firstphasecompletedby the end of 2016

  6. Granularcreditdatabase – objective (2/2) • Canbecombined with otherdatabases, such as • RIAD: ESCB Register of Institutionsand AffiliatesDatabase • SHS: securitiesholidingstatistics • CSDB: centralisedsecuritesdatabase • By loan type and type of borrower

  7. Analyticalcreditdatabase – ACDB

  8. Analyticalcreditdatabase – ACDB

  9. Expensesurvey • Expensesurvey is part of the ECB’scost-benefitanalysis • Expensesareevaluatednationally for differentattributes and finallycombined to cover the entire euro area/EU New IT systems and processesareevaluated (Finland hasnothad a loan registeror a correspondingcreditdatabase) Essi Tamminen

  10. Tables in expensesurvey • TABLES A-E • Table A • Expensesestimated ’bypackage’ thatincludeattributes • By borrower, byreportingentity, quarterly • Sources • Table B • Includesotherquestionsrelating to the settingup of the system, coveringscope, thresholdvalues, loan type, qualityassurance • Table B is filled in aftertable A • Table C • Investigates data collection in a consolidated manner • Table D • Investigatesconnections of futuredatabase to otherexistingdatabases; to befilled in bycentralbanksonly • Table E • Investigatespotentiallong-termbenefits of database to reporters • Table F • Solicitsnecessaryadditionalinformation Essi Tamminen

  11. Analyticalcreditdatabase – ACDB • The type of product as recorded on the internal system of the Significant Bank. To be completed regardless if on- or off-balance sheet. Examples in EBA/ITS/2013/3 Annex V 2.41 (a)-(l): • on demand and short notice, • credit card debt, • trade receivables, • finance leases, • reverse repurchase loans, • advances that are not loans, • project finance loans, • loans collateralised by immovable property, • other collateralised loans, • other debt securities, • auto finance (these are examples, other values are possible) • etc.

  12. Basic structure of analyticalcreditdatabase

  13. Basic view of expensesurvey

  14. Definitions of rows and columns

  15. Expenseestimatescale Essi Tamminen

  16. Source of data • Internalsource of data: • (A) accountingsystem • (R) risk-basedsystem • (O) other

  17. Filling in the expensesurvey

  18. For setting-up and reportingexpenses, the mostexpensiverequirementsarereported for eachgroup of attributes

  19. Data source is registeredfrom the current data system for eachattributeseparately (recommendation)

  20. COLUMN BALANCE ’100’ IS ADDED FOR THE % DATA OF EACH GROUP OF ATTRIBUTES

  21. AN EXPENSE PERCENTAGE IS ASSIGNED TO EACH ATTRIBUTEAND TOGETHER THEY ADD UP TO 100

  22. HOW TO FILL IN IF ONE OF THE ATTRIBUTES HAS A VALUE ’NF’ (= CLASSIFICATION NOT POSSIBLE)

  23. Aikataulu • Deadline for returningexpensesurvey 11 June 2014 • Email: luottotieto@bof.fi Essi Tamminen

  24. Project timetable • 1 January 2015 – 31 December 2016 (= 24 months) • Release 1: launch8/2016 • Release 2: launch12/2016

  25. Othermatters (1/2) • Request for moretime • Moretimecanberequestedupuntil the end of officehours on the lastday of the survey • For anyrevisions, pleasegiveadvancenotice • For anymajorchangesfrompreviousmonth’sreporting, pleaseinformbyemail in advance • Allcontactrequestsbyemail at rahoitustilastot@bof.fi

  26. Othermatters (2/2) • Informationaboutgroupstructures and closeconnections • Data is neededfor the ECB’sRegister of Institutions and AffiliatesDatabase(RIAD), which is alsoused for identifyingcloseconnectionsbetweenmonetarypolicycounterparties → data collection in collaboration with the BankingOperationsbeingplanned

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