1 diretoria de fiscalização departamento de supervisão indireta the central bank of brazil’s...
TRANSCRIPT
1
Diretoria de Fiscalização
Departamento de Supervisão Indireta
The Central Bank of Brazil’s The Central Bank of Brazil’s
New Credit Information System (SCR)New Credit Information System (SCR)
World Bank Finance Forum 2004World Bank Finance Forum 2004
22-24/September/200422-24/September/2004
2
Project Initiation Background
Regulation
Better assessment of financial institutions’ economic capital
Supervisory Function
Information
Improved availability of credit risk data for market participants
“Credit Bureau”Function
Dramatic increase in demand for credit
Information (internal & external)
Need to Adapt to new Basel requirements
Policy drive to reduce intermediation spreads & improve access to
finance
3
Technical Factsheet
Number of Financial Institutions Participating 1,400
Types of Files Sent 4
Number of Quality Control Checks more than 300
Database Size Number of Files 1 trillion
Projected Database Size (in 14 months) 300Gb
Number of Menus (screens) 800
Number of Lines of Software Code 120,000
Number of Business Rules 500
Number of Alternative Flows 400
4
System ArchitectureSystem Architecture
Dat
a in
put
Data Data WarehouseWarehouse(DW)(DW)
DocDoc30830822
Sistema SCR
BD BD OperationaOperationall
Data input
OutroOutross
UnicaUnicadd
SRFSRFDocuments entered into the system :Doc 3030Doc 3020Doc 3026
BD BD ControlControl
Report
Qua
lity
Con
trol
P
roce
dure
s
Institu
tion
s Cen
tral B
an
k
5
• Summary of all operations, including those reported in detail in Form 3020
• Aggregated by:• Type of operation• Risk rating of the operation • Value of the operation • Type of client
• Reported in aggregate: • Distribution of maturities• Number of operations• Number of clients• Provisioning levels
• Localização• Origem dos recursos• Vinculação à Moeda Estrangeira
• etc
Form 3030 – Aggregate Data
6
Form 3020 – Individual Data
• Consolidated Operations (loans below R$ 5,000)
• Type of operation
• Risk classification
• Exchange rate variation
• Number of operations
• Distribution of maturities
• etc.
• Individual Operations (loans equal or greater to R$ 5,000 = US$ 1,720)
• Contract number• Type of operation• Origen of funds lent• Indexed interest rate • Annual effective interest rate• Risk classification• CEP (zip code)• Date loan was initiated• Date of maturity• Guarantees (all)• Guarantors (all)• Distribution of maturities• Etc.
7
• Clients requested by the Central Bank
• Balance Sheet Data
• Data from Ratings Agencies
Cadastral Information is requested for all companies belonging to the same group as perceived by lenders, regardless of whether they are all clients of that financial institution. The information provided by individual financial institutions is then consolidated by the supervisors to map the group structure and assess its risk profile.
Form 3026 – Complementary Data
• Relevant Clients (Operations in excess of
R$ 5 million (US$ 1.72 million)
• Corporate Group / Holding Structure
• Identification
• Principles
8
Feedback to Financial Institutions
1122
......
100.000100.000
AAÑAÑAAAAA
......
ÑAÑA
100,000 100,000 clientsclients
30,000 30,000 authorizationsauthorizations
30823082
30,000 clients with 30,000 clients with consolidated consolidated informationinformation
30203020
Option 1: Web access for
individual queries
Option 2: Consolidated information
at portfolio level
9
Example of Data Display (1)
10
Example of Data Display (2)
11
Example of Data Display (3)
12
Examples of Use of SCR Data in Banking Supervision
• Transition Matrix
• Profiles of Credit Portfolios
• Analysis of Borrowers
• Systemic Oversight of Credit Market
• Credit Analysis by institution or in aggregate (economic sector, geographic distribution of credit, distribution by value, etc)
• Stress Testing
13
Example of Transition Matrix
IF: SFN - SFNR$ Millions
Active Total
Portfolio (% )
RISK AA A B C D E F G H Prej. Reduç. Dec-02
AA 69.9% 4.3% 1.8% 0.4% 0.2% 0.1% 0.1% 0.1% 0.2% 0.0% 22.9% 177,995 43.0%
A 6.8% 41.0% 7.1% 3.1% 1.2% 0.5% 0.3% 0.3% 1.1% 0.1% 38.6% 104,777 25.3%
B 8.5% 11.7% 34.5% 7.9% 2.1% 0.7% 0.5% 0.4% 2.9% 0.5% 30.4% 57,251 13.8%
C 2.2% 9.6% 12.0% 33.2% 5.8% 1.6% 0.8% 0.7% 2.8% 1.3% 30.0% 33,136 8.0%
D 1.0% 10.9% 6.0% 11.1% 30.6% 3.3% 2.3% 1.5% 7.1% 3.9% 22.4% 13,442 3.2%
E 0.5% 0.9% 0.7% 2.9% 2.5% 30.8% 2.0% 1.0% 21.7% 11.0% 26.0% 11,296 2.7%
F 2.1% 2.4% 1.4% 1.1% 1.6% 2.3% 37.9% 2.2% 11.9% 23.8% 13.4% 3,655 0.9%
G 1.9% 1.3% 4.0% 1.3% 1.3% 1.1% 1.1% 42.7% 8.5% 23.4% 13.4% 3,500 0.8%
H 0.5% 1.3% 0.9% 0.9% 1.1% 0.6% 0.6% 1.1% 27.7% 51.5% 13.8% 8,718 2.1%
Active
Portfolio 137,622 62,255 35,535 21,512 9,330 5,676 2,971 2,852 10,612 8,795 116,608 413,768
Dec-03
Total % 33.3% 15.0% 8.6% 5.2% 2.3% 1.4% 0.7% 0.7% 2.7% 2.1% 28.2%
Portfolio Identified Dec/aa 88.95%
Average Initial Provisioning Dec/aa 4.8%
Average Final Provisioning Dec/aa 6.6%
Discrepancy in Provisioning Levels 1.79
Dec-03
Dec
-02