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Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
STRENGTHEN FINANCIAL STABILITY
THROUGH EFFECTIVE RISK AND CAPITAL
MANAGEMENT
STEFAN DE LOMBAERT, SENIOR DIRECTOR
MARTIM ROCHA, ADVISORY BUSINESS SOLUTIONS MANAGER,
SAS RISK CENTRE OF EXCELLENCE- EMEA/AP
MAY 23, 2014
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND
CAPITAL
MANAGEMENT
AGENDA
• Context
• Risk and Capital Management
• The market status
• Status in the Banks
• Drivers for change and action
• SAS Approach
• Key points of value
• Solution Process
• Risk Modeling and Calculation
• EBA Stress-test example
• Case-studies
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CONTEXT
RISK AND CAPITAL MANAGEMENT
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND
CAPITAL
MANAGEMENT
KEY MESSAGES
• The objective of capital management is to optimize the
Banks's capital structure given the adopted risk profile.
• With capital being the foundation of which every bank is
built upon., it is important to properly prepare for the
expected and unexpected.
• To understand and optimize the bank’s capital adequacy
for each business model, capital must be viewed from
many perspectives. Growth, credit issues, earnings,
interest rate fluctuations, and dividends have an effect on
each of these perspectives.
Financial
institutions operate
on Capital.
The best they
manage it, the
better they will do
on Returns
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND CAPITAL
MANAGEMENTTHE MARKET STATUS
Lessons from the financial crisis:
• In the absence of information banks spent capital that could
have insulate them from losses
• Sound capital planning is critical for determining the
prudent amount, type and composition of capital that is
consistent with a longer-term strategy …, while also
withstanding a stressful event.
• Banks’ processes were(are) not sufficiently comprehensive,
appropriately forward-looking or adequately formalized
• Management teams underestimated the risks inherent in
their banks’ business strategies and, in turn, misjudged
capital needs
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND CAPITAL
MANAGEMENT
STATUS - FUNCTIONAL SILOS HAMPER
DECISIONS
Issues
Translating data to
knowledge
manual interfaces
Excel based
Guerilla-tactics
Decision support
analytics
Heterogeneous across
silos
Little firm-wide
scenario analysis
Results
Decisions based on
intuition
Not in support of the
business process
Finance
Operations
Risk /
Treasury
Sales
?
Manual processes and low sophisticated technology.
Higher risk on the reliability of the results.
Regulators and shareholders uneasy
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
IMPACT
• Data discrepancies that require added reconciliation effort• IT systems are organized by departments – each uses it’s own coding, grouping, hierarchies, time reference, …
• Combined data doesn’t match, added effort for reconciliation and data quality
• Cross reporting happens only in very aggregated levels, losing important detail and in
many cases hiding problems that could be otherwise addressed pro-actively.• To overcome the difficulties on combining data, reporting is done in very aggregated levels – limits effectiveness
• Difficulties on accurately calculate risk adjusted measures at the right level of detail,
making decision around which products and which regions to invest almost only based
on gut feeling.• The world is flat but each region, demographic group, provided service has its particular characteristics – the devil is in the
details as well as the return
• Undermine any attempt of creating a framework of predictive analytics due to the lack a
historical integrated information.• To anticipate the future you should look into the past, the more detailed you have on the past the best estimate you do on
the future
• Reduce drastically the number and depth of scenarios analyzed for planning.• The cumbersome and manual based processes you have today take too much time for each analysis you do thus limiting
the scenarios you analyze
RISK AND CAPITAL
MANAGEMENT
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND CAPITAL
MANAGEMENTDRIVERS FOR CHANGE AND ACTION
• Banks across many developed markets remain
undercapitalized.
• Unwilling, or unable, to write down asset values
to more realistic levels and accept credit
losses.
• Many still under liquidity support from central
bank with tight repayment deadlines.
• Sub-10% ROEs have rendered many North
American and European business models
obsolete
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND CAPITAL
MANAGEMENTDRIVERS FOR CHANGE AND ACTION
…
• EBA Stress-testing (EUR)
• Risk Appetite Framework
• CCAR – Comprehensive Capital Analysis and Review (US)
REGULATOR PUSH
Basel III ICAAP
BCBS 277 Sound Capital
Planning
BCBS239 Principles for
Risk Data Aggregation
and Reporting
Capital
Planning and
Management
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND CAPITAL
MANAGEMENTDRIVERS FOR CHANGE AND ACTION
Standalone impact of Basel
III on Capital and Funding
of Banks is Euro 1.6 Trillion
(2019 target) : Roughly a
drop of 400 bp in RoE
Higher Costs of Capital
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND CAPITAL
MANAGEMENTINTEGRATING RISK AND FINANCE
“lack of integration
between risk and finance
has limited the
effectiveness of
decision-making around
risk versus return, capital
management and
regulatory charge
optimization”
“Financial institutions can
boost profitability by a
better alignment of risk and
finance”
“investing more in
technology to improve their
ability to integrate risk
information into financial and
performance management”
“Integration of risk and finance reporting, together
with greater analytical capabilities, is enabling
financial institutions to manage the risk, funding,
liquidity and capital requirements of their business in
a more dynamic fashion”
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS APPROACH
RISK AND CAPITAL MANAGEMENT
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK AND CAPITAL
MANAGEMENTTHE SAS APPROACH
Capital Planning
Capital
Allocation
Risk Adjusted
Performance
Measurement
Forward Looking Planning
Capital
Estimate surplus / deficit in
capital over projected
planning horizon
(Optimized) allocation of
capital to profit centers
Integrated Risk and Financial
reporting
Risk Adjusted Performance of
Capital
Capital
Planning and
Management
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Reporting
Projection
Consolidation
Calculation
Collection
RISK AND CAPITAL
MANAGEMENTTHE SAS APPROACH
Risk and Finance Integrated Datamart
Credit
Portfolio
Risk
Market
RiskALM & Liquidity Op Risk
Capital Planning & Management
Data Collection / Data Quality
Trading Loans Treasury Deposits General Ledger
Credit Risk Scoring
and Rating
Risk and Finance Reporting
New or Reuse existing
Risk Engines
Capital Monitoring, Capital Projections, Capital Alocation, Return on Capital
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
KEY POINTS OF VALUE
Integrate Risk and Finance
• Align risk, capital and business goals
Pre-configured capital planning framework
• Full pro-forma projection
• Dimensions, formula, templates
Manage the process –workflow and automation
• Collect and consolidate inputs
• Reviews and approvals
Instant consolidation for iterative scenario analysis
• Automated construction of pro forma financials
Enable an integrated Risk and Finance reporting repository
• Ensure consistency
• Transparency and auditability
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Prepare Data ModelAnalysis, Reports &
Templates
Consolidation and
ReviewWorkflow
Line of Business Input
• Operating Budgets• New Loans• Deposits• …
Economic Forecasts
Finance Data
Risk Data
Balance Sheet
Income Statement
Capital Available
Capital Ratios
CAPITAL PLANNING
AND MANAGEMENTSOLUTION PROCESS
Business Rules
Rate Tables• Loss rates• Prepay rates• Payment• Charge offs• Loan rates• Deposits rates ….
ManualModel
Projections
Automation and Workflow
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CAPITAL PLANNING
AND MANAGEMENT
PROJECTION OF BALANCE SHEET, INCOME STATEMENT
AND CAPITAL
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RISK MODELLING & CALCULATIONS
RISK AND CAPITAL MANAGEMENT
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
HOT TOPIC : EBA STRESS TESTS
• EBA issued macro-economic scenarios, developed
by ESRB.
• Exercise runs from May till Oct 2014.
• For 124 banks in Europe, on Group level.
• GR : Alpha Bank – NBG – Piraeus Bank – Eurobank
• CY : BoC – Hellenic Bank – Coop Central Bank
• Local regulators assess, EBA coordinates, stores &
publishes results.
• Scenarios for 3 years, with hurdle rates;
• Base scenario : 8% Common Equity Tier 1 Capital
• Adverse scenario : 5,5% Common Equity Tier 1 Capital
RISK MODELLING &
CALCULATIONS
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
MORE DETAILS
• Starting Point : Figures as of 31-12-2013 with STATIC Balance Sheet.
• Zero growth, just replace matured positions
• Same currency mix
• Same business mix
• No capitalisation measures allowed
• No workout of defaulted assets (they disappear from the BS)
• Base scenario assumes low inflation (< 1.5%) and is based on Winter 2014
forecasts of DG ECFIN, with a 2016 model-based extension.
• Adverse scenario looks at most pertinent systemic risks (PD decrease,
Bond Yield increase, Funding Cost increase, ….)
• Russian Gas, UK Housing ????
• Reporting Templates
RISK MODELLING &
CALCULATIONS
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHICH SCENARIOS (1/3) ?
5 Broad Categories
• Focus Area
• Market Risk
• Credit Risk
• Other areas
• Securitization Risk
• Sovereign Risk
• Funding Cost & NII
RISK MODELLING &
CALCULATIONS
Market Risk
List of individual RF values provided under
Base, Adverse & 4 Historic Crises Scenarios
=> Worst of 6
Credit Risk
Starting from existing PD/LGD, moving to
projected Point-in-Time PD/LGD (ev. Rating
Migration), per COREP Asset Class, based on
2 macro-economic scenarios
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHICH SCENARIOS (2/3) ?
5 Broad Categories
• Focus Area
• Market Risk
• Credit Risk
• Other areas
• Securitization Risk
• Sovereign Risk
• Funding Cost & NII
RISK MODELLING &
CALCULATIONS
Securitization Risk
Stressed RW for STD (5 Ctp Risk levels) & IRB
Approach (12 Ctp Risk levels) and 3 Product Buckets
under Base & Adverse Scenarios;
- Low Risk ABS + EMEA RMBS
- Medium Risk EMEA CMBS + CDO
- High Risk NA RMBS + CMBS + CDO
Sovereign Risk
Bond Valuation haircuts for M-to-M Approach, by
Country & Tenor
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHICH SCENARIOS (3/3) ?
5 Broad Categories
• Focus Area
• Market Risk
• Credit Risk
• Other areas
• Securitization Risk
• Sovereign Risk
• Funding Cost & NII
RISK MODELLING &
CALCULATIONS
Funding Cost & NII
Banks will have to use their own methodology
in projecting lending and funding rate paths,
looking at;
• Macro‐economic environment (GDP, unemployment, house
prices, etc.);
• Evolution of reference rates (e.g. swap rate curve);
• Market structure (market power – potential to mark-up over
marginal cost);
• Credit risk and its effect on setting the interest rate;
• Supply constraints (capital position, liquidity position).
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHICH CALCULATIONS ?
• Market Risk Calculation distinguishing between VaR Banks (revaluation
of positions) and non-VaR Banks (reduction in Net Trading
Income)
• Credit Risk Calculation of Provisioning & RWA, with constant residual
maturity !
• Securitisation Risk Calculation of Provisioning & RWA
• Sovereign Risk Banking Book : RWA
AsF & HfT : M-to-M on stressed factors + haircut
• Funding & NII NII after shocked CoC and lending/borrowing rates
RISK MODELLING &
CALCULATIONS
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CONCLUSION
• From the details of the methodology & the scenarios it should be clear that as
much as possible calculations need to be executed with existing tools &
methodologies, except for the simplifications.
• But…..since this will involve indeed a multitude of systems and entities, there
is a need for a central scenario repository and a central result data repository.
• One can expect that in a later stage the stable BS restriction will be removed
- at least for internal stress purposes - in which case a central set of
projection rules become a vital part of the solution as well.
• And….a central set of reports will conclude the infrastructure
RISK MODELLING &
CALCULATIONS
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Reporting
Projection
Consolidation
Calculation
Collection
RISK AND CAPITAL
MANAGEMENTTHE SAS APPROACH
Risk and Finance Integrated Datamart
Credit
Portfolio
Risk
Market
RiskALM & Liquidity Op Risk
Capital Planning & Management
Data Collection / Data Quality
Trading Loans Treasury Deposits General Ledger
Credit Risk Scoring
and Rating
Risk and Finance Reporting
New or Reuse existing
Risk Engines
Capital Monitoring, Capital Projections, Capital Alocation, Return on Capital
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CASE STUDIES
RISK AND CAPITAL MANAGEMENT
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
UNICREDIT GROUP RISK AND FINANCE INTEGRATION IN ACTION
Roberto Monachino, CFO Head of Data Governance - UniCredit Group
• Data governance organization is an enabler to apply the target performance risk adjusted measurement framework starting
from product, customer and business area consolidated by legal entity and country up to group level, reconciled with
accounting with integration of risk related data. Consistent Group Golden Profitability Rules (PGR) and Data Governance Rules
were adopted across the organization and laid down in a single vocabulary and a common logical data model to ensure
comparability at Group level. Therefore, business data elements (BDEs) were produced locally and merged into a unique DWH
repository aimed at avoiding overlapping and redundancies, creating a common language and optimizing data flows. BDEs for
local needs may be added but require Central approval before implementation. A governance tool within the DWH controls
transparent workflows for parameters, rules and adjustments across business areas. Alignment between business and IT is
also enabled by a data lab environment. It fills the gap between a business idea and the ability to implement it. Existing data
can be accessed and new data be added into a „sandbox‟ to prototype new BI deliverables for business. When approved they
can be implemented in the production database.
In this presentation he will go through all the above steps, showing concrete experience on how the entire value chain from
Data Production to Data Delivery has been considered a success experience for the final business community. Shorten the
data process is a key element for having more time to do better analysis and support the decision making process.
UniCredit is one of 25 banks operating worldwide with extensive international presence spanning 50 markets and about 9,400
branches. The company is the result of the merger of nine of Italy‟s largest banks, the Capitalia Group and their combination
with the German HVB Group, including Bank Austria and its 19 Eastern European country organisations. The divisional
business model structured by customer segments and regions is supported by global services including the Group‟s centralised
risk management and information technologies.
Risk Adjusted Performance by Product, Customer
Segment, Business Area, Legal Entity and Group
Risk and Finance Reconciled
Single Vocabulary and a Common Logical Model
One Unified source for Capital Planning and Regulatory Exercises
– EBA Stress-test, ICAAP and BCBS239 compliant
Business Model supported by Global Services for about
9400 branches and 50 markets where Unicredit is present
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
PART OF BIG DUCTH
FINANCIAL
SERVICES GROUP
FRIS: FINANCE & RISK INTEGRATED SOLUTION
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
FRANCO-GERMAN
REGIONAL BANKCAPITAL PLANNING AND MANAGEMENT
• The bank has integrated already finance
and risk figures using SAS.
• Recently enhanced the application with
sales planning
• and is now moving forward to an integrated
finance and risk plan.
• Next project will be RWA planning, using
Portfolio based Asset plans and applying
migration matrices on customers rating to
determine the change of RWA over the plan
period of 5 years
AROUND 20 BILLION
TOTAL ASSETS
Improve timeliness and
accuracy of reporting.
Streamline budgeting and
forecasting process
Minimize manual spreadsheet
processing
Support various reporting
requirements from dashboard
to KPIs, from static reports to
multidimensional analysis
Roadmap for Risk Adjusted
Performance Management
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .sas.com
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