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Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

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Page 1: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Finance 590

Enterprise Risk Management

Operational Risk

MarkVonnahme

Department of Finance

University of Illinois at

Urbana-Champaign

Page 2: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Why operational risk management– Some perspectives on significance

• Major financial disasters have included operational risk issues as a main contributing factor

• Operational risks often interrelated with market and credit risk

• When operational risk is not managed centrally it leads to lack of consistency across an org

Page 3: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Benefits of effective operational risk management– Minimizes day to day losses and reduces

potential for costly occurrences– Improves company’s ability to meet business

objectives– Strengthens overall enterprise risk management

system

Page 4: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Operational Risk– a common definition

“ Operational risk is the risk of direct or indirect loss resulting from inadequate or failed internal processes,people,and systems or from external events”

BBA,et al

Page 5: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Operational risk – The real definition varies by company based

upon industry and other factors; essentials include

• Process risk• People risk• System risk• Event risk• Business risk

Page 6: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Process risk– Risk occurs through ineffective or inefficient

processes• Ineffective –fail to achieve objectives

• Inefficient-meet objectives but excessive costs

What does this mean

Examples

Page 7: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• People risk– Result from

• Staff constraints• Incompetence• Dishonesty• Cultures that do promote not risk awareness

What does all this meanExamples

Page 8: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• System risk– More and more common across business

• Technology keeping up with business– My experiences

– Includes systems availability,data integrity,systems capacity,unauthorized access and use,and business recovery contingencies

• Programming errors• Security• Mergers and acquisitions

– My experiences

Page 9: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Event risk– Unlikely single events that have serious

consequences• Many examples

• Expect the unexpected

• Event risk may have ripple effect impacting other areas

– Market, credit, financial

– Other operational areas

Page 10: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Business risk– Risk of loss due to unexpected changes

• All kinds of risks including– Strategy

– Client management

– Pricing

– Reputation and brand

– Many,many others

Page 11: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Some key questions relate to– Vulnerabilities in business strategy and plans– Product diversification or sufficient business– Appropriate operating leverage– Wrong or changing business assumptions– Fix or exit a business– Exit strategy

Page 12: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Operational Risk Management Process– Risk policy and organization– Risk identification and assessment– Capital allocation and performance

measurement– Risk mitigation and control– Risk transfer and finance

Page 13: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Risk policy and organization– Management principles for operational risk– Definition and taxonomy for operational risk– Objectives and goals– Operational risk processes and tools– Organizational structure– Roles and responsibilities

Page 14: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Risk identification and assessment– A range of qualitative and quantitative tools to

assess, measure and manage;these include• Loss incident database

• Control self-assessment

• Risk mapping

• Risk indicators and performance triggers

Page 15: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Capital allocation and performance measurement– Link risk to performance measurement through

the capital allocation process• No widely accepted model

– No one methodology or single solution ; a combination of approaches

Page 16: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Capital allocation and performance measurement continued– Top down models v bottom up models

Page 17: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Top down models– Implied capital model– Income volatility model– Economic pricing model– Analog model

Page 18: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Bottom –up or loss distribution model– Statistical analysis– Scenario analysis

Page 19: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Risk mitigation and control– The ying is useless without the yang– Assessing and measuring does no good without

improving and controlling risk factors – Once measurement is in place must implement

processes that identify and reduce operational risk

• Involves people, training,changing or structure, etc.

Page 20: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Risk transfer and finance– Choices to address key operational risks

• Implement internal control v risk transfer• Not mutually exclusive; generally complementary• Company should go through the ERM process

– Identify risk exposures and quantify probabilities,severities and economic capital requirements

– Integrate operational risk with other key risks– Establish operational risk limits– Implement internal controls and risk transfer finance strategies– Evaluate alternative methods, providers, and structures including

cost benefit analysis

Page 21: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Best practices in operational risk management– Operational risk may be most dangerous– Wide range of industry practices

• Basic

• Standard

• Best

Page 22: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Operational risk – Basic practice-a company

• Recognized operational risk as key risk• Definition of operational risk and sub categories is in place• Operational risk manger is appointed to develop a program• Operational risk committee with key reps is in place• Tracking program for risk is in place• Self assessment performed regularly• Policy developed and approved• Operational risk management group acts a consultant to sr.

mgmt.• Audit and compliance group acts as checker

Page 23: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Operational risk– Standard practice-a company builds on basic

• Developed full set of operational risk indicators• Established goals and MAPs for the indicators• Developed early warning signals• Risk based maps developed to identify key exposures in

operations• Developed several years of risk losses and incidents• Response plans and contingency plans developed • Audit and operational risk management independent of each

other• Org learning programs are in place

Page 24: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Operational risk– Best practice – a company continues to build

• Business risk and reputational risk included• Advanced in their processes to assess and measure risk with

qualitative and quantitative tools• Allocate economic capital to underlying risks along with credit risk

and market risk• Initiate development of scenario based operational risk modeling to

quantify potential loss• Insurance function is fully integrated with operational risk function• Risk transfer strategies based upon cost benefit analysis• Evolved from just control function to one that supports better

decisions on price, growth and profit

Page 25: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Operational risk– Where do you think most companies are in the

cycle or phases of “ best practices ”

Page 26: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Questions

• Discussion

Page 27: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Enterprise Risk ManagementBusiness Applications

Finance 590

MarkVonnahme

Department of Finance

University of Illinois at

Urbana-Champaign

Page 28: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Business applications have followed the requirements and changes of business

• RM practices have evolved

• RM will continue to evolve and adjust to business conditions and change

Page 29: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Business Applications– Three major applications

• Stage I: Minimizing the Downside (loss reduction)

• Stage II: Managing Uncertainty

• Stage III: Performance Optimization

• Combination of all three is Enterprise Risk Management

Page 30: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Stage I: Minimizing the Downside– RM in the 1970s focused on protection against

downside risks– Establishing credit controls, investment and liquidity

policies,audit procedures and insurance coverage– Defensive RM practices looked at minimizing losses in

credit risk, market risk and operational risk– Found out it was not enough– Demonstrating how RM can be positive in supporting

profit and business growth lead to next stage

Page 31: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Stage II: Managing Uncertainty– RM focuses on managing volatility around business

and financial results– A number of sources of volatility were catalysts

• 1970s: fixed to floating exchange rates and wildly fluctuating oil prices

• 1980s: double digit inflation, double digit interest rates(volatility) and lending crises

• 1990s: derivative losses, volatile equity markets and beginnings of major economic shifts

• 2000-today: economic changes, corporate scandals, new regulations - “ uncertainty continues ”

Page 32: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Stage II continued– With increased volatility RM practices evolved

• Credit scoring and migration models to develop more precise estimates default probabilities

• Advances in management of financial market risks

• Recognition of importance of operational risk management

Page 33: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Stage II continued – Risk transfer products increased in popularity

• Derivatives and sophisticated insurance products

– Recognition that additional products needed• Derivatives and insurance not enough

– Alternative risk transfers– Integration of risk management silos

• Transfer packages of risks• Development of integrated internal models for risk• A more holistic view of risk• Spurred use of RM for performance optimization

Page 34: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Stage III Performance Optimization– RM characterized by integrated approach to all

types of risk– Move from partial integration in other stages to

complete integration– Risk and return are important component

• Not defensive• Move to an offensive approach in dealing with

credit , market risk and operational risk

Page 35: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Further evolution of RM– Changes in business environment will continue

to impact the development of the practice• Globalization

• Technology

• Changing market structures

• Restructuring

• Other changes we do not know about today

Page 36: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

ERM

• Discussion

• Questions

• Next class

Page 37: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Finance 590Enterprise Risk Management

Steve D’ArcyDepartment of Finance

Lecture 5

Strategic and Operational Risk Measurements

April 19, 2005

Page 38: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Reference Material• Chapter 14 – Operational Risk Management in

Enterprise Risk Management by James Lam

• Why COSO is Flawed by Ali Samad-Khan

• Burchett and Dowd presentation

http://www.casact.org/affiliates/cagny/1101/basel1.ppt

• Reputation Risk – Operational Risk

CAS ERM Task Force presentation

Page 39: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Overview

• Strategic Risk

• Operational Risk

• Measures of Operational Risk– Capital requirements for operational risk– Market performance

• COSO Approach

• Critique of COSO Approach

Page 40: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Strategic Risk• Difficulty in quantifying strategic risks• Contrast with hazard and financial risks

– Lack of data– Imprecision of measurements

• How do you measure the likelihood and impact of:– a competitor’s or regulator’s actions– a technological innovation – a political impediment

Page 41: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Operational Risk

• Loss from inadequate or failed– Processes– People– Systems

• External events (generally covered under Hazard Risks)

Page 42: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Measures of Operational Risk

• Basel Accord– Capital requirements

• Market performance– Examine similar events for other companies

Page 43: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

New Basel Capital Accord• Focus is on banks

• Convergence of regulation will expand application to insurers and other industries

• Minimum capital requirementCapital Ratio = Total Capital/(Credit Risk + Market Risk

+ Operational Risk)

Minimum Capital Ratio = 8%

Page 44: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Top Down vs. Bottom Up Capital Allocation

Top DownStart with aggregate capital for the industryAllocate this to each risk sourceAllocate result to individual financial institutions

Bottom UpIdentify each source of riskDevelop a method for measuring the magnitudeDerive capital from this measure

Page 45: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Proposed Capital Approaches

• Basic Indicator

• Standardized

• Internal Measurement

• Loss Distribution

Page 46: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Basic Indicator ApproachKBIA = EI*

KBIA = the capital charge under the Basic Indicator Approach

EI = the level of an exposure indicator for the whole institution, provisionally gross income

= a fixed percentage relating the industry-wide level of required capital to the industry-wide level of the indicator

Page 47: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Standardized ApproachKTSA = (EI1-8*1-8)

KTSA = the capital charge under the Standardized Approach

EI1-8 = the level of an exposure indicator for each of the 8 business lines

1-8 = a fixed percentage relating the level of required capital to the level of the gross income for each of the 8 business lines

(Corporate Finance, Trading and Sales, Retail Banking, Commercial BankingPayment and Settlements, Agency Services and Custody, Retail Brokerage,Asset Management)

Page 48: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Internal Measurement ApproachKIMA = (EIij*PEij*LGEij*ij)

KIMA = the capital charge under the Internal Measurement Approach

EIij = the level of an exposure indicator for each business line and event type combination

PEij = the probability of an event given one unit of exposure, for each business line and event type combination

LGEij = the average size of a loss given an event for each business line and event type combination

ij = the ratio of capital to expected loss for each business line and event type combination

Page 49: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Loss Distribution Approach

• Similar to Hazard Risk analysis

Page 50: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Market Performance Approach• Gather information regarding publicly traded peer

companies that have experienced significant distress events negatively affecting stock price relative to market indexes.

• For each company, evaluate historical stock price relative to the S&P 500 or industry related stock price index during the “pre-event” period.

• Using the relationship to one or more indexes, project future stock price movements for the individual company stock on a pro-forma basis for the “post-event” period.

• Compare the pro-forma stock price to the actual stock price in the post-event period, to estimate the hypothetical percentage loss in market valuation for each day.

Page 51: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Market Performance Approach (2)• Project cumulative average market valuation movements

beyond the latest available post-event data point for individual companies based on the cumulative average percentage movement in market valuation for the remaining companies in the sample data, up to one year beyond the event.

• Derive a rough model for the number of trading days before stock price “recovers” to the pro-forma projected level.

Page 52: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Relative Price Performance for Schering-Plough and the S&P 500: Novermber 1, 2000 through June 1, 2001

50%

75%

100%

125%

11/1

/00

12/1

/00

1/1/

01

2/1/

01

3/1/

01

4/1/

01

5/1/

01

6/1/

01

Schering-Plough S&P 500

EVENT: Schering-Plough has problems with FDA manufacturing regulations, leading to a delay in approval for its allergy blockbuster successor, Clarinex.

Schering-Plough Corp.

• 2/01: Class action lawsuit filed against directors and officers

• Recovery Period to Date: None

• Market Cap Loss: $15.3 Billion or 22%(2/15/01 – 3/8/01)

2/01: FDA halts review on SGP’s Clarinex, due to separate manufacturing concerns

Page 53: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Theoretical Lost Market Cap - Schering

0%

5%

10%

15%

20%

25%

0 50 100 150 200 250 300 350 400

Elapsed Days

Lo

st

Market

Cap

50%

75%

100%

125%

11

/1/0

0

12

/1/0

0

1/1

/01

2/1

/01

3/1

/01

4/1

/01

5/1

/01

6/1

/01

Schering-Plough

S&P 500

S&P 500 Pharm

Forecast

Schering-Plough

Pro-forma stock price movements modeled relative to the S&P 500 Pharmaceutical index.

Page 54: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Relative Price Performance for McKesson Corp. and the S&P 500: January 2, 1999 through August 1, 1999

25%

50%

75%

100%

125%

1/1/

99

1/15

/99

1/29

/99

2/12

/99

2/26

/99

3/12

/99

3/26

/99

4/9/

99

4/23

/99

5/7/

99

5/21

/99

6/4/

99

6/18

/99

7/2/

99

7/16

/99

7/30

/99

McKesson S&P 500

EVENT: McKesson improperly reports its software revenue from newly acquired HBOC, resulting in loss of investor confidence.

McKesson Corporation

•4/99 – Class action lawsuit filed against directors and officers •6/99 – McKesson downgraded by S&P and Moody’s

• Recovery Period to Date: None

• Market Cap Loss: $ 9.1 Billion or 50% (4/27/99 – 4/29/99)

4/99: MCK reduces earnings by 4.4% after restating financials

1/99: Acquired HBOC

Page 55: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Theoretical Lost Market Cap - McKesson

0%5%

10%15%20%25%30%35%

0 50 100 150 200 250 300 350 400

Elapsed Days

Lo

st

Market

Cap

25%

50%

75%

100%

125%

1/1

/99

2/1

/99

3/1

/99

4/1

/99

5/1

/99

6/1

/99

7/1

/99

McKesson

S&P 500

S&P 500 HC

Forecast

McKesson

Pro-forma stock price movements modeled relative to the S&P 500 Healthcare Services index.

Page 56: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign
Page 57: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Why COSO is Flawed• Resource intensive approach

• Identification, definition and assessment of risk– Performed by business managers

• Results in huge catalogue of risks

• Likelihood-impact methodRisk = Likelihood x Impact

Page 58: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Actuarial Approach

• Individual loss events

• Risk matrix for loss data

• Loss distributions– Frequency– Severity

• VaR Calculation

• Total loss distribution

Page 59: Finance 590 Enterprise Risk Management Operational Risk MarkVonnahme Department of Finance University of Illinois at Urbana-Champaign

Conclusion• Quantifying strategic and operational risk is

the latest challenge for ERM

• Variety of approaches proposed

• Eventual standard likely to follow the approaches used for hazard and financial risk

• Lots of work remains to be done in this area