Ch 29: Risk Management And Reporting Flashcards
Risk quantification
For all risk events, assess:
- Probability of occurrence (frequency)
- Expected loss (severity)
- Normally treated as random variables
Subjective assessment:
- Risks commonly assessed using simple scales
- Ranking frequency and severity from low to high
- Product of two scales = overall score for that risk
- enabling them to be ranked
- Assessment would be done with and without
controls - assess efficiency - May be recorded in risk register
Using a model
Note! It is difficult to model low frequency events due
to lack of data. Stochastic approach more
appropriate if risk:
* Has a high score - high priority to assess
carefully
* High variability of possible outcomes
* Lot of experience data on which to base
probability distributions
* Relates to financial guarantees / options
* Involves mismatching of assets and liabilities
Operational risks:
- Difficult to quantify
- Typical approaches
- Broad-brush addition to other risks (for
capital requirements) - Scenario analysis
- Banking - add % uplift to total aggregated
risks other than operational risks - Insurers - Solvency II standard formula uses
factor-based approach, taking specified % of
provisions and premiums
Operational risk categories examples:
- Fraud
- Loss of key personnel
- Mis-selling of financial products
- Calculation error in computer system
- Loss of business premises
- Loss of cpy email access for 72 hours
Scenario analysis
Looks at financial impact of plausible and possibly adverse set / sequence of events
* Useful when it is difficult to fit full probability distribution to risk events
* Typically, deterministic and straight forward
- May be adapted to contain probabilistic and advanced mathematical elements
- Frequently used - operational risks, global recession
- Assessing emerging risks - climate change
* Drawback - does not indicate likelihood of estimated severities
Scenario analysis process:
- Risk exposures grouped into categories - input from senior individuals in organisations
- Develop plausible adverse scenario for each group of risk
- Determine financial cost of each scenario - involving senior staff
- Total cost represents a βworst-caseβ loss scenario
Stress testing
- Involves assessing impact of a specific
adverse event - Form of scenario analysis, focusing on
extreme scenarios - Radically change assumptions and
characteristics - Deterministic method
- Application
- Extreme market movements
- Credit and liquidity risks
Note! Sensitivity testing works the same,
except that you donβt βstressβ.
Stress scenario
- Combine stress and scenario testing
- Stress test is performed by considering the impact of a
set of related adverse conditions that reflect the chosen
scenario - Decisions need to be made as to how other aspects of the
business will react if stress event occurs - Types of stress scenario tests:
- Identify βweak areasβ in the portfolio and investigate
effects of localised stress situations by looking at the
effect of different combinations of correlations and
volatilities - To gauge the impact of major market turmoil affecting
all model parameters, while ensuring consistency between
correlations while they are stressed
Stochastic model
Ideal model
- All risk variables modelled through probability
distributions
- Dynamic interaction between variable specified
- Potentially very complex / impractical
* In theory, correct required capital to avoid ruin (at given
confidence level) calculated
Practical ways to reduce complexity of stochastic models:
* Restrict time horizon for model
* Limit number of stochastic variables
* Carry out a number of runs with a different single
stochastic variable and then a single deterministic run using
all the worst-case scenarios together
Note! All methods are used to understand a companyβs
vulnerability to various risks.
Reverse stress testing
- Often required by regulators
- Construction of severe stress
scenario that just allows firm to be
able to continue to meet its business
plan - May be extreme scenario, but must
be plausible
Capital requirements and relationships between risks
Generally, most important aggregation is for capital
requirements
* In many regulatory regimes, capital requirement is set in
respect of an event occurring within 12 months with a
probability of 0.5% (β1 in 200-year eventβ)
* Aggregate individual risks to allow for correlations and
inter-actions
Risk can be aggregated through:
- Stochastic modelling - although
this may be impractical - Single formulae - fully
independent / fully dependent - Correlation matrices
- Copulas
Fully dependent risks:
- Aggregate risk is the sum of individual
risks (at a given probability level) - Capital requirement = sum RJ for n
dependent capital requirements