FSA’s Risk Architecture

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Transcript FSA’s Risk Architecture

An update on risk-based regulation

Securities & Investment Institute Risk management and regulation conference 10

th

November 2005

Joe Traynor

Finance, Strategy & Risk Division, Financial Services Authority (FSA)

Agenda

• Introduction • background and recap of ARROW • rationale for our risk-based approach • Improving our risk-based approach • history of the ARROW Project • aims of the Project and changes being introduced • our new risk model • Questions 2

Background and recap of ARROW

History

• The UK Financial Services Authority (FSA) started life as • 10 different organisations • with 10 different approaches to regulation – not all of these approaches were risk-based – and they related to different legislative frameworks.

• Our current risk-based approach was put in place in 1999 / 2000, when the 10 organisations were merged.

4

Why do we use a risk-based approach?

Finite resources

available – never possible to do everything • This leads to a

non-zero failure risk appetite

) approach (with a corresponding • We therefore need a mechanism for prioritising our work: • focusing our efforts on the

greatest risks

• bear in mind

tractability

of issues (“biggest bang for our buck”) • Other factors made the risk-based approach necessary (but difficult to implement) in the FSA:

variety of cultures

resource and action decisions) • very

broad scope

/ backgrounds (requires consistency of of our regulatory remit (wide ranging statutory objectives and diversity of sectors regulated) 5

Implications and benefits of a risk-based approach

• Benefits for the regulator:

optimises use of resources

: targeting greatest risks (bearing in mind also the tractability of issues) should lead to

“biggest bang for our buck”

and greatest overall benefit to our objectives

focus

on risks to our objectives (and on relevant outcomes); so reduces wasted or inappropriate effort • sound,

consistent basis

for justifying our approach and actions; so links senior management

priorities

and

risk appetite

with decisions and actions on the ground • provides a

measure of success

in a not-for-profit enterprise – risk / harm to our objectives is our currency 6

Implications and benefits of a risk-based approach (continued)

• Benefits for regulated firms: • firms see a

direct result of good behaviour

and control of their risks; lowering their risks to the FSA’s objectives should mean that they are subject to less intensive supervision – a

regulatory “peace dividend”

; • they should also get a

transparent

explanation for the actions that the FSA takes; these actions should be

proportionate

to the risks, and

consistent

between firms in similar circumstances; • a

pro-active

for firms to a reactive approach, based on punitive enforcement action

after

approach to managing risks is generally preferable problems have occurred. 7

The ARROW framework

• “ARROW” is the name we give to our application of the risk-based approach to

front-line supervision at a micro level

(as opposed to the macro level application of the approach to managing our entire portfolio of risk, including internal risk). It stands for the

A

dvanced

R

isk-

R

esponsive

O

perating frame

W

ork.

• It not only provides the

risk metrics

, but also specifies the

processes

we use to identify, record, analyse and mitigate risks.

• It has two components: • the

firm framework

(used when assessing risks in individual firms); in ARROW, we call this “

vertical

” supervision; and • the

consumer and industry-wide framework

(used when assessing cross-cutting risks – those involving a number of firms, or relating to the market as a whole); we term this “

thematic

” or “

horizontal

” work.

8

How FSA measures risk

PRIORITY for the FSA

=

IMPACT of the problem if it occurs

x

PROBABILITY of the problem occurring

Factors may include: • Size of firm • No. of retail consumers • Perceived importance Factors may include: • Business Risk • Control Measures • Consumer risk 9

How FSA measures risk (continued)

• Scoring is

subjective and control

.

– but

subject to challenge Impact

High Medium-high Medium-low Low

Probability

Crystallised

*

High Medium-high Medium-low Low

*

crystallised risks are those that have already occurred – so probability is 100% 10

Scoring approach

Relatively high-level scoring approach, based on supervisory judgement • Advantages • flexible • quick to implement • draws on expertise • easily understood • not spuriously accurate

Impact High Med. High Med. Low

• Drawbacks • subjective • needs effective challenge • dependent on good experience • may not provide much differentiation

Low Priority risks Low Med. Low Med. High High Crystallised Probability

11

Changing shape of the FSA

• Charts below show proportion of firms by impact – the M&GI regime brought a major change in the population of regulated firms

2004 2005

Med Low 15% Med High High 4% 1% Med High 1.3% Med Low 5.8% High 0.3%

c10,000 firms

Low 80% Low 92.6%

c25,000 firms

12

Improving our risk-based approach

History of the ARROW Project

• The FSA recognised the need to review the operation of ARROW in its first few years, and in the light of the very substantial increase in the number of smaller firms that occurred when we took on the regulation of mortgage and general insurance business.

• In 2003 the

Business Improvement Programme

review of the use of the process to date. We conducted a massive consultation exercise, including (“BIP”) undertook a

250 interviews with users

(at all levels) and discussions with a

cross-section of firms and industry bodies

.

• The BIP identified a number of areas for potential improvement, reflecting

experience of use

, as well as our

increased ambition

to fully embed the risk-based approach in everything we do.

• The ARROW Project was therefore set up (in 2004) with full senior management support, to establish the

detailed causes

of the issues identified, and

design and implement solutions

.

14

Aims of the Project

• To achieve

greater proportionality and consistency

in response to risks, applying our resources where they will make most difference • To

improve communication with firms

involve them more fully in the process on our assessment of them and • To

improve the skills and knowledge of supervisory staff

better training and more effective IS through • To achieve greater efficiency and effectiveness on our management of risk making

better use and sharing of the knowledge

that we have 15

Aims of the Project (continued)

Desired outcome

Greater proportionality and consistency in response to risks – applying our resources where they will make the most difference

Changes being made Better controls

over the supervisory process to ensure a more consistent approach. Input from senior staff at an earlier stage in the assessment process, challenging and validating the planning / scope of assessments.

A major

overhaul to our risk framework

, to allow better comparison of risks in different areas (so that we can more reliably devote our resources to the areas of greatest risk). A risk model that allows our supervisors more accurately to reflect their views of risk, and which integrates the capital assessment (

see later

).

Reduced scope assessments for lower-risk firms

(focussing on core areas and specific risks.

We will also be exploring and testing options for placing

greater reliance on well-controlled firms

in our assessment work, allowing for a lighter touch in these cases (as well as a more informed assessment, that makes better use of firms’ own knowledge of the risks).

16

Aims of the Project (continued)

Desired outcome Changes being made

Better communication with firms on our assessment of them

ARROW assessment letters

extensively revised, to add more value to the process: • more

focus on the main issues

expect firms to do about them; and what we • more helpful

explanation of our views of the risks

, and how we view individual firms in the context of their

peer group

.

More consistently good communication of our findings in

‘close-out’ discussions

after ARROW assessment visits. Firms provided with

draft copies of ARROW letters

, to allow correction of factual inaccuracies and misunderstandings, and prevent ‘surprises’ in the final letters. 17

Aims of the Project (continued)

Desired outcome

Improved skills and knowledge of supervisory staff

Changes being made

Building on our current training and development provision, institution of a comprehensive ‘

Regulatory Curriculum

’ for all regulatory staff, which: • specifies the knowledge and skills required for each role, focussing on the practical implementation of risk-based regulation; • operates like the syllabus for a professional qualification (with modules that are either mandatory for all, or elective / role-specific); and • leverages as far as possible the industry’s own training programmes, and builds on our extensive use of secondments.

Extensive (5 days’) training on (new) ARROW for all our staff (existing and new) from March 2006. Much more effective and comprehensive support and guidance for supervisors, that fully equips them to assess and mitigate the key risks we face.

18

Aims of the Project (continued)

Desired outcome

Greater efficiency and effectiveness

Changes being made

More and better use of

thematic

working: • enhanced processes to identify those risks within firms that would be better dealt with through thematic work, including specialist staff; • tools to allow firm supervisors to leverage off the knowledge of the wider organisation, such as the work of specialist

sector teams

and the experience gained from supervising similar firms.

Improved capacity to undertake

sector intelligence

and analysis work, so that the organisation is better informed of emerging risks and other trends in the industry.

Streamlined processes and improved IT support

, cutting down wasted time, and allowing supervisors to focus on the risks that matter. 19

New risk model (assessing probability in firms)

Environmental Business Model Customers, Products & Markets Controls Customer, Product & Market Controls Business Process Financial & Operating Controls Oversight & Governance Mitigants Net Risks Customer Treatment & Market Conduct

NA

Operating Prudential Business Risks

NA

Prudential Risk Controls Controls

NA

Oversight & Governance

NA

Capital/Liquidity

NA

Financial Soundness

NA

Total

NA

Key features: • 9 high-level ‘risk groups’ (with underlying ‘risk elements’) – plus capital / liquidity • combination of inherent business risks, specific controls and overarching governance controls • capital / liquidity has a specific role in mitigating prudential risk (only) 20

New risk model (continued)

Risk Group Risk Elements Customers, Products Customer/Market Characteristics Product Characteristics & Markets Distribution Channels

Each risk group is broken down into its underlying elements

Sub sector Issues Super visor

Suggestion

Customers, Products & Markets Risk Group Narrative

The scoring system uses the following inputs:

generic (sectoral) assessmentspecific issues identified by the supervisorthe supervisor’s own overall view 21

New risk model (continued)

Environmental Business Model Customers, Products & Markets Controls Customer, Product & Market Controls Business Process Prudential Business Risks

NA

Risk Group Risk Elements Customers, Products Customer/Market Characteristics Product Characteristics & Markets Distribution Channels Financial & Operating Controls Oversight & Governance Mitigants Net Risks Customer Treatment & Market Conduct

NA

Operating Prudential Risk Controls Capital/Liquidity

NA

Financial Soundness

NA

Controls Oversight & Governance

NA

Sub sector Issues Super visor

Suggestion

NA

Customers, Products & Markets Risk Group Narrative Total

NA Supervisors will also be provided with guidance on how to assess each area of risk. This guidance will be structured along the same lines as the risk model itself. For example, the Product Risk Framework gives supervisors guidance on assessing product characteristics – describing the factors they should consider (performance risk, liquidity risk, complexity)

22

Relationship between ARROW and capital assessment

• The new version of ARROW will fully integrate the capital assessment – including

Basel 2

and

ICAS

, where relevant to the firm.

• The conceptual relationship is as follows: • The

prudential business risk group / elements

grid are driven by the Pillar 1 and Pillar 2 assessments of risk / required capital.

in the risk model • The assessment of of senior management oversight) is made in the normal way under ARROW.

controls

(including high-level controls – quality • The

combination

of these two drives the individual capital requirement for the firm.

• The amount of capital held, relative to that required, drives the score against the

capital / liquidity risk group

; this in turn reduces (or increases) the overall level of prudential risk.

23

Relationship between ARROW and capital assessment (continued)

• In terms of the practicality of the processes: • This integration will not be fully in place until 2007 (when Basel 2 is implemented).

• However, we will be piloting the combined approach during 2006.

• We will be encouraging supervisors, where possible, to coordinate the capital and full ARROW assessments so that they are performed at the same time (and results reported to the firm in a single letter). • The approach is not dependent on this being the case, though, and circumstances may lead to the two being conducted separately (in which case the later would update the earlier).

24

Current status

• The design of this next generation of ARROW (

“ARROW 2.0”

) is virtually complete.

• We are

currently completing our piloting

processes and IT; this has been successful, and we started to roll out ARROW 2.0 in

September 2005

of the new risk model, ; most changes will be in place by

March 2006

.

• The

new IT system will take longer

in place in

late 2006 / early 2007

.

to build – we expect that it will be 25

ARROW’s evolutionary path

RATE, FIBSPAM ARROW 3 ?

Outcome-based models ARROW 2.5

ARROW ARROW 2.0

X

Supports portfolio risk-based methods Individual risk-based methods Stress and scenario testing Assessment models

X

Current position 26

Questions