Chapter 20 - Analysis of operational risk Flashcards
Benefits of effective operational risk management
Dr Drs
Desired Business objective
Reputational risk minimised
Day to day losses minimised
Regulatory compliance
Strengthen ERM framework
Bottom up models
Low level categories, aggregated up
Data issues - lack, insufficient
Gives robust picture of company’s risk profile
External data may not be relevant
Breaking down into constituents is difficult
Historical data not robust (low prob, high impact)
Top down models
Implied capital model:
Forward looking, ignores interrelationships, total risk capital needs to be calculated,
Operational Risk Capital = Total RC -Market RC-Credit RC-Other
Income volatility model:
Op RC=Total income volatility-Credit RIV-Market IncVol-Mort and other risk IV
Ignores rapid evolution of business, ignores softer issues such as brand and opportunity cost
Economic pricing model:
CAPM most widely used-assumes all market info included in share price
Impact of operational loss taken by stripping out market movement
Tail-end risk not accounted for properly; doesn’t anticpate incidents of OR; OR capital unaffected by controls in place
Analogue model:
Derive operational risk capital from data of similar companies
Tools and techniques to assess, measure and manage operational risks
Loss incident database
Control self-assessment
Risk mapping
Risk indicators and performance triggers
Why is operational risk difficult to assess?
Difficult to establish nature of some operational risks
Often low probability events
Hard to quantify
Lack of internal data
Difficult to obtain relevant external operational risk data
Lack of expertise, time constraints