Chapter 29: Risk measurement and reporting Flashcards
Describe how the risk identification “brainstorming” approach can be extended to obtain a subjective assessment of risk exposure
The probability and severity of each risk event are both estimated (separately) using a simple scale (eg scale of 1-5)
The product of the probability and severity assessments gives a score on a scale. This provides an assessment of each risk event and allows them to be ranked and prioritized.
The assessment would be carried out with and without possible risk controls. This will enable the efficiency of risk controls to be assessed against their cost
Outline how a model could be used to assess a risk event
Distributions need to be assigned to both the probability and severity of the risk event (unless the latter is a fixed amount rather than a RV, such as for a without profit term assurance policy).
To quantify the risk simply, the company could define an event (eg 25% fall in equity price over a year) and then use historical data to determine a probability distribution for that event. Alternatively, the frequency of the event could be defined in advance and this could be used to determine the loss parameter (eg 0.5% probability could equate to a market movement of 40%)
A decision needs to be made as to whether a STOCHASTIC or DETERMINISTIC model is appropriate.
The availability of data to parameterize the model may influence the decision as to which model (if any) is used. This is particularly important when considering RARE EVENTS (such as an pandemic)
See ch 18 for more on models
Suggest features of a risk that would make it more appropriate to use a stochastic rather than a deterministic model
- has a high score and therefore a high priority
- has a high variability of possible outcomes
- has a lot of experience data on which to base the probability distributions
- relates to financial guarantees or options
- involved the mismatching of assets and liabilities
State 5 ways of evaluating risks
- Scenario analysis
- Stress testing
- Combined stress and scenario testing
- Reverse stress testing
- Stochastic modeling
Scenario analysis
- Looks at the financial impact of a plausible and possibly adverse set of events or sequences of events
- Deterministic model of evaluating risk
- Useful where it is difficult to fit full probability distributions to risk events (stochastic inappropriate)
Outline 4 steps that should be involved in a scenario analysis to evaluate operational risk
- Group risks into broad categories. -This should involve input from a wider range of senior individuals in the organization.
- Develop a plausible adverse scenario of risk events for each group of risks, which is REPRESENTATIVE of ALL the risks in the group.
- Translate each scenario into assumptions for the various risk factors in the model, again involving senior staff. The consequences of the risk occurring is then calculated
- The total costs calculated are taken as the financial costs of all risks represented by the chosen scenario
Suggest 6 categories into which operational risks might be divided for the purpose of scenario analysis
- Fraud
- Loss of key personnel
- Mis-selling of financial products
- Calculation error in the computer system
- Loss of business premises
- Loss of company e-mail access for a period of time
Stress Testing
Stress testing is a deterministic method of modelling EXTREME risk event. It is commonly used to model extreme market movements, but can be applied to other risks. (e.g. credit, liquidity)
In relation to market risk it involves subjecting a portfolio to extreme market movements by radically changing the underlying assumptions and characteristics, in order to gain insight into the portfolio’s sensitivities to predefined risk factors - including changing asset class correlations and volatilities, which are often observed to increase during extreme market events.
Give two examples of assets where a positive correlation may exist
- Assets in the same sector - eg 2 shares in the same industrial sector
- Assets from different sectors that react in the same way - eg shares and property are both correlated to inflation
Combining stress and scenario testing
The principle of stress testing can be coupled with scenario testing to determine a stress scenario.
A stress test is performed by considering the impact of a set of related adverse conditions that reflect the chosen scenario.
When constructing a stress scenario, decisions need to be made as to how other aspects of the business will react if a stress event occurs
For example, for a provider of unit-linked investment bonds, a sustained reduction in market values will affect:
- income received from fund management charges
- persistency of existing investment bonds
- new business volumes
- the provider’s regulatory capital requirements
- the value of the stakeholders’ interests
- the probability of any guarantees biting
These factors need to be built into the model
See question p8
Outline two types of stress scenarios test
Two types of tests are designed to:
- Identify ‘weak areas’ in the portfolio and investigate the effects of localized stress situations by looking at the effect of different combinations of correlations and volatilities.
- Gauge the impact of major market turmoil affecting all model parameters, while ensuring consistency between correlations while they are stressed.
Reverse stress testing
This is the combination of a severe stress scenario that only just allows the company to be able to fulfill its strategic business plan.
Equivalently, it is the scenario that would just be enough to stop the company from fulfilling its strategic business plan.
The scenario might be financial or non-financial (for example that cause the firm to cease having access to its major market)
Although it might be an extreme scenario for well-capitalised firms , it must be PLAUSIBLE!!!
Describe how a stochastic model could be used to evaluate a particular risk
The variables that gives rise to the risk are treated as RVs with probability distributions.
The model must be DYNAMIC, with full interactions/correlations between variables.
The model can be run to determine the amount of capital that is necessary to (just) avoid ruin with a given probability
Outline 3 approaches to limiting the ideal scope of a stochastic model in order to make the model more practical
- Restrict the time horizon that the model projects (for example a one-year ruin probability)
- Limit the number of variables that are modelled stochastically and model the other variables deterministically with scenario testing (for example the variables that only have an adverse effect when moving in one direction)
- Carry out a number of runs each with a different single stochastic variable, followed by a single deterministic run using all the worst case scenarios together
Outline how the overall capital requirement for a combination of risks relates to the individual risk capital requirements, if the risk events are:
- fully dependent
The overall capital requirement is the aggregation of the individual capital requirement for each risk at a predetermined probability level