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Jean-Marc IsraëlHead of Division
Overview of Monetary
and Financial Statistics
Joint Bank of Indonesia – ECB – BIS Statistical Seminar 2017
Bali, 20-21 March 2017
ECB-RESTRICTED
Rubric
www.ecb.europa.eu © Overview of MFS Statistics 2
Contents
1
2
3
Overview of monetary and financial statistics
Case study: MFI statistics
Production and dissemination of statistics –Challenges and international context
4 Multipurpose monetary and financial statistics
5 Selected results
6 Challenges / Initiatives
Rubric
www.ecb.europa.eu ©
Start from national statistics (of euro area countries)
Harmonise concepts, definitions and methods to– increase comparability also via adherence to international statistical standards
– enable consolidation, where appropriate
– ensure the necessary coverage and level of disaggregation
Cost-conscious approach
– while statistics are a public good, and good policy basedon good data may be invaluable for business, they have a cost
– simple, automated reporting is less costly
– financial transactions and positions get (more) complex
– asset-by-asset reporting minimises the reporting burden
Central banks maintain granular datasets, e.g. a common securities database, to identify, classify, value individual assets
– securities (reference data, aggregated and individual) issues and holdings
– granular lending data, in part based on credit registers, are also under study
– asset-by-asset allows more flexibility and responsiveness to user needs
Overview of MFS Statistics 3
Challenges for euro area statistics
Rubric
www.ecb.europa.eu ©
• Based on experience in collecting, compiling and disseminating statistics in EU Member States
• level-playing field: even-handed treatment
• sharing of information across national
compiling agencies and across Member States
• increasing use of common registers (RIAD),
databases (CSDB, SHSDB; soon AnaCredit), tools, methods, standards
a set of best practices for a medium-term convergence
Overview of MFS Statistics 4
Harmonisation and best practices
to ensure: • fair competition • similar and light reporting burden• consistency, and • accuracy
Rubric
www.ecb.europa.eu © Overview of MFS Statistics 5
Contents
1
2
3
Overview of monetary and financial statistics
Case study: MFI statistics
Production and dissemination of statistics –
Challenges and international context
4 Multipurpose monetary and financial statistics
5 Selected results
6 Challenges / Initiatives
Rubric
www.ecb.europa.eu ©
Share of total assets by (euro area) sub-sector
(percentage)
Overview of MFS Statistics 6
The financial sector in the euro area - Overview
Data as of 2016 Q2Pro memoriam Euro area annual GDP was € 10.5 trillion
ASSETS € trillion
Monetary financial institutions (MFIs)incl. Eurosystem
37.2
of which money market funds (MMFs) 1.1
of which credit institutions (CIs) 30.6
Insurance corporations (ICs) 7.3
Pension funds (PFs) 2.4
Non-MMF investment funds (IFs) 10.6
Other financial institutions (OFIs) 19.7
of which financial vehicle corporations (FVCs) 1.8
Total Assets 77.2
Rubric
www.ecb.europa.eu ©
Based on:System of National Accounts 2008, European System of Accounts 2010
common methodological definitions and concepts
laid down for the euro area in Regulations
– MFI balance sheets: ECB/2008/32 (recast) and ECB/2013/33
– MFI interest rates: ECB/2013/34 (recast)
– Investment Funds: ECB/2007/8, as amended by ECB/2013/38
– Post Office and Giro Institutions: ECB/2013/39 (recast)
– Payments systems and instruments: ECB/2013/43
– Financial Vehicle Corporations: ECB/2008/30, as amended by ECB/2013/40
– Insurance Corporations: ECB/2014/50
Plus MFS Guideline (recast) ECB/2014/15
And Manuals and/or Guidance notes
Overview of MFS Statistics 7
Common definitions and International standards
Rubric
www.ecb.europa.eu ©
The E(S)CB collects and compiles statistics for:
The financial sector and its sub-sectors (e.g. credit institutions)
A register of (financial) institutions and affiliates in the EU
Financial instruments e.g. loans, securities
Outstanding amounts e.g. balance sheet items
Transactions and growth rates e.g. annual growth of M3
“Prices” interest rates, yields, exchange rates
Various breakdowns e.g. counterparty sector, maturity, currency
Overview of money markets daily
Overview of MFS Statistics 8
E(S)CB financial statistics: Overview
Rubric
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Main ECB monetary and financial statistics manuals
• Manual on MFI Balance Sheet Statistics April 2012
http://www.ecb.europa.eu/pub/pdf/other/manualmfibalancesheetstatistics201204en.pdf
• Manual on MFI Interest Rate Statistics January 2017 New!
http://www.ecb.europa.eu/pub/pdf/other/manualonmfiinterestratestatistics_201701.en.pdf
• Manual on Investment Funds Statistics May 2009
http://www.ecb.europa.eu/pub/pdf/other/manualinvestmentfundstatistics200905en.pdf
• Guidance Notes on the Definitions of ‘Financial Vehicle Corporations’ and ‘Securitisation’ under Regulation ECB/2008/30 February 2012
http://www.ecb.europa.eu/pub/pdf/other/guidancenotedefinitionsfvcsecuritisation2012en.pdf
• Monetary Financial Institutions and Markets Statistics Sector Manual March 2007
http://www.ecb.int/pub/pdf/other/mfimarketstatisticssectormanual200703en.pdf
Overview of MFS Statistics 9
Harmonisation and best practices
Rubric
www.ecb.europa.eu ©
Monetary aggregates and counterparts balance sheet statistics on banks and money market funds (e.g. M3, credit)
Statistics on Banks’ and other interest rates market interest rates, retail for deposits, loans for consumption, housing, firms
Statistics on assets and liabilities of Investment funds
Statistics on Financial vehicle corporations
engaged in securitisation and banks’ securitisation
Statistics on Insurance corporations and Pension funds June 2011
Enhanced (new!) statistics on Insurance Corp. Febr. 2017
Yield curves; Financial markets price, volume and structure
Statistics on payment instruments and securities settlement systems
Money market statistical reporting July 2016
Overview of MFS Statistics 10
Monetary and financial statistics (1/2)
Rubric
www.ecb.europa.eu ©
Register of (financial) Institutions and Affiliates Database
A register is key to identify the reporting population(s)
and classify/stratify them
• counterparts (by respondents)
• group structures
A register is essential for statistics, and its value added is even greater
if it becomes multi-purposes, e.g.
• ‘Close links’ for monetary policy operations
• Banking and Insurance group structures for financial stability analysis
• Identification of Payment service institutions, and
• Supporting the ECB Banking Supervision
Overview of MFS Statistics 11
Monetary and financial statistics (2/2)
Rubric
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Contents
1
2
3
Overview of monetary and financial statistics
Case study: MFI statistics
Production and dissemination of statistics –
Challenges and international context
4 Multipurpose monetary and financial statistics
5 Selected results
6 Challenges / Initiatives
Rubric
www.ecb.europa.eu © Overview of MFS Statistics 13
Case study ECB statistics: The ECB’s monetary policy and MFI b/s statistics
Full set of information
Analysis of money and credit based on
MFI statistics
Analysis of economic
dynamics and shocks
Governing Council takes monetary policy decisions based on a unified overall assessment
of the risks to price stability
Primary objective of price stability
Economicanalysis
Monetaryanalysis
Macro-economic
Projections
Cross-checking
Rubric
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Other uses of MFI balance sheet statistics:
• Minimum reserves; liquidity
• Economic analysis
• Financial stability
• Financial integration
• Statistical support to the European Systemic Risk Board
• Statistical support to Banking Supervision
Overview of MFS Statistics 14
Case study: MFI statistics
Rubric
www.ecb.europa.eu ©
Monetary Financial Institutions (MFIs)
= financial institutions money-issuing sector of the euro area
= central banks
+ resident credit institutions as defined in EU law Capital Requirements Regulation; ongoing work with EBA
+ other resident financial institutions whose business is
to receive deposits and/or close substitutes for deposits, and
for their own account (at least in economic terms) to grant credits and/or make investments in securities
=> importance to assess and measure “shadow banking”
Overview of MFS Statistics 15
Case study: Defining MFIs
Rubric
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Case study: Defining the statistical balance sheet
1 Cash 8 Currency in circulation
2 Loans 9 Deposits
up to 1 year Overnight
over 1 and up to 5 years With agreed maturity
over 5 years up to 1 year
3 Debt securities held over 1 and up to 2 years
up to 1 year over 2 years
over 1 and up to 2 years Redeemable at notice
over 2 years up to 3 months
4 Equity over 3 months
5 Investment fund shares/units Repos
MMF shares/units 10 MMFs shares/units
Non-MMF investment fund shares/units 11 Debt securities issued
6 Non-financial assets (including fixed assets) up to 1 year
7 Remaining assets over 1 and up to 2 years
over 2 years
12 Capital and reserves
13 Remaining liabilities
INSTRUMENT AND MATURITY CATEGORIES
ASSETS LIABILITIES
Rubric
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Case study: Collecting & compiling MFI b/s statistics
1. NCBs collect balance sheets from all MFIs resident in the country
2. NCBs transmit aggregated national balance sheet to ECB
3. ECB aggregates (sums) national balance sheets
Euro area MFI aggregated balance sheet
4. The aggregated balance sheet is then consolidated
= Netting the aggregated positions between MFIs in the euro area
Euro area MFI consolidated balance sheet
5. Main euro area aggregates are seasonally adjusted by the ECB
Euro area monetary aggregates and counterparts.
Rubric
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Case study: Collecting & compiling MFI b/s statistics
• However aggregated data may not suffice for in-depth analysis
• Detailed breakdowns are requested by users for analytical needs
e.g. monetary analysis, monetary policy transmission,
collateral management, financial stability
• Statisticians need to become more proactive and responsive to ever
increasing and rapidly changing needs
Analytical Credit datasetbased on granular loan data
Rubric
www.ecb.europa.eu © Overview of MFS Statistics 19
Case study: the Targeted Longer-Term Refinancing Operations-II
• Target: improve bank lending to the euro area non-financial private sector (NFPS) over a window of two years
• Announcement on 10 March 2016
• Adoption of Decision ECB/2016/10 on 28 April 2016
Single borrowing allowance equal to 30% of the total amount of their loans
to the euro area non-financial counterparts, outstanding on 31 Jan. 2016
In 4 quarterly TLTROs-II, commencing in June 2016, counterparties were
able to borrow an amount that does not exceed the borrowing allowance
Reward for participants whose eligible net lending (ENL)
from Febr. 2016 – Jan. 2018 exceeds ENL from Febr. 2015 – Jan. 2016
Rubric
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Case study: the Targeted Longer-Term Refinancing Operations-II
• The reporting framework for TLTROs-II remains that of TLTROs; A dedicated reporting template based on the conceptual framework of MFI
balance sheet statistics in light of their:
• sound underlying methodology
• data comparability across countries and institutions
• availability of (long) time series to be used as benchmark
• The reporting template covers:
• data on loans amounts outstanding and net lending
• the impact of loan securitisation (and other loan transfers) and
adjustments to outstanding amounts
Rubric
www.ecb.europa.eu © Overview of MFS Statistics 21
Contents
1
2
3
Overview of monetary and financial statistics
Case study: MFI statistics
Production and dissemination of statistics –
Challenges and international context
4 Multipurpose monetary and financial statistics
5 Selected results
6 Challenges / Initiatives
Rubric
www.ecb.europa.eu ©
What is MIR?
MFI Interest Rate Statistics are
interest rates and corresponding business volumes
‒ new business and outstanding amounts
applied by MFIs, except central banks and MMFs, resident in country
on euro denominated deposits and loans
vis-à-vis households and non-financialcorporations resident in the euro area
collected from the reporting agentsby the ESCB
Multipurpose monetary and financial: MIR statistics
MFI interest rate statistics
Rubric
www.ecb.europa.eu ©
Why a central bank needs interest rate statistics?
MFI interest rate statistics
Monetary transmission mechanism:Pass-throughCost of capitalIncome effectsCredit channel
Financial integration indicators:Price-based indicators
Monetary analysis: M3 and Credit
Financial stability: Margins
MIR – Multipurposes (1/2)
..in great demand:• Cost-of-borrowing indicators
published since summer 2013• Further national business
volumes• Extension to SME lending
Rubric
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Why 117 MIR breakdowns?
Counterpart sectors
‒ Households
‒ Non-financial corporations
‒ Sole proprietors
Business coverage
‒ Outstanding amounts
‒ New business
‒ Renegotiations
Purpose of HH loans
‒ For consumption
‒ For house purchase
‒ For other purposes
Size of corporate loans
‒ Up to € 0.25 million
‒ Over € 0.25 million and up to € 1 million
‒ Over € 1 million
Maturity
‒ Original/residual maturity
‒ Initial period of interest rate fixation
‒ Next interest rate reset
‒ Period of notice
Collateralisation
‒ Total
‒ With collateral and/or guarantees
Special instruments
‒ Revolving loans and overdrafts
‒ Extended credit card credit
Interest rate type
‒ AAR/NDER
‒ APRC
MIR – Multipurposes (2/2)
MFI interest rate statistics
FINAL
Rubric
www.ecb.europa.eu © Overview of MFS Statistics 25
Contents
1
2
3
Overview of monetary and financial statistics
Case study: MFI statistics
Production and dissemination of statistics –
Challenges and international context
5 Selected results
4 Multipurpose monetary and financial statistics
6 Challenges / Initiatives
Rubric
www.ecb.europa.eu ©
Evolution of M3 aggregate and loans to the private sector*
(percentage change)
Overview of MFS Statistics 26
Money and credit
-4
-2
0
2
4
6
8
10
12
14
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
M3 Loans to the private sector
*Adjusted for loan sales, securitisation and notional cash pooling
Rubric
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Sectoral contribution to annual growth rate of M3
(percentage point contribution)
Overview of MFS Statistics 27
M3 dynamics by sector
Rubric
www.ecb.europa.eu © MFI interest rate statistics
MIR – transmission mechanism and financial stability
- New loans to NFCs with up to one year initial rate fixation
- New deposits from NFCs with agreed maturity up to one year
- ECB rate on main refinancing operations
0
1
2
3
4
5
6
7
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
%
ECB main refinancing operations
Deposits from non-financial corporations with an agreed maturity up to one year
Loans to non-financial corporations with up to one year interest rate fixation
Rubric
www.ecb.europa.eu ©
MFI interest rate on short-term loans to NFCs up to an amount of EUR 1 million (% per annum)
MFI interest rate statistics
MIR – short term loans
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
DE FR ES IT GR U2
Rubric
www.ecb.europa.eu © Overview of MFS Statistics 30
Contents
1
2
3
Overview of monetary and financial statistics
Case study: MFI statistics
Production and dissemination of statistics –
Challenges and international context
5 Selected results
4 Multipurpose monetary and financial statistics
6 Challenges / Initiatives: MMSR
Rubric
www.ecb.europa.eu ©
Multipurposes: Money Market Statistical Reporting (1/3)
• Better, more timely information on segments of money markets
• Better understanding on monetary policy transmission mechanism
• Inform market participants on market functioning allow more informed choice amongst reference rates (BIS ECC WG report 2013) and to possibly use as a benchmark
• Similar exercise conducted at Federal Reserve (go-live in Apr. 2014)
31
Data needs
Merits and costs exercise, Regulation, Reporting instr.
• June 2013: Analysis conducted by Market Operations Committee;
→ STC agreed to run a “merits & costs exercise”
• 8 October 2013: EB took note of strong business case and approved
launch of m & c exercise by STC to prepare an ECB Regulation
• End-2014: Regulation published in the EU Official Journal
• Mid-2015: Detailed Reporting instructions to the 52 banks
Rubric
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Data requirements
Credit institutions required to send on a daily frequency to the ECB dataon a transaction-by-transaction basis on:
• unsecured borrowing transactions with maturity up to one yearas well as interbank lending
• secured lending and borrowing transactions data including allrepurchase agreements and transactions which are denominated ineuro with a maturity up to and including 1-year
• derivatives, i.e. foreign exchange (FX) swap transactions andOvernight Index Swap transactions in euro (volume and rates)
Now also Banking Supervision interested (on funding conditions)
32
Multipurposes: Money Market Statistical Reporting (2/3)
Rubric
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Implementation and go-live
• Very fast implementation of a statistical regulation across 10 countries
− From Regulation to production in just 1.5 years
− First reporting as of 1 April 2016 with an interim period of 3 months
− Full reporting by 1 July 2016
Reporting population and reporting window
• Reporting population: the biggest 52 MFIs in the euro area
• Reporting on TARGET2 settlement days: 6:00 p.m. on T - 7:00 a.m. on T+1
• 300 automated Data Quality Checks applied after data reception
• Currently 45,000 transactions per day collected;
Already more than 9 million transactional records in the dataset
Money Market Statistical Reporting
Multipurposes: Money Market Statistical Reporting (3/3)
Rubric
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Thank you!
Questions?
Overview of MFS Statistics
Questions?