Ch 29: Risk Management And Reporting Flashcards

1
Q

Risk quantification

A
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2
Q

For all risk events, assess:

A
  • Probability of occurrence (frequency)
  • Expected loss (severity)
  • Normally treated as random variables
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3
Q

Subjective assessment:

A
  • 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
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4
Q

Using a model

A

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

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5
Q

Operational risks:

A
  • 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
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6
Q

Operational risk categories examples:

A
  • 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
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7
Q

Scenario analysis

A

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

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8
Q

Scenario analysis process:

A
  1. Risk exposures grouped into categories - input from senior individuals in organisations
  2. Develop plausible adverse scenario for each group of risk
  3. Determine financial cost of each scenario - involving senior staff
  4. Total cost represents a β€œworst-case” loss scenario
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9
Q

Stress testing

A
  • 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 don’t β€œstress”.
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10
Q

Stress scenario

A
  • 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 β€œweak areas” 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
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11
Q

Stochastic model

A

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 company’s
vulnerability to various risks.

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12
Q

Reverse stress testing

A
  • 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
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13
Q

Capital requirements and relationships between risks

A

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% (β€œ1 in 200-year event”)
* Aggregate individual risks to allow for correlations and
inter-actions

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14
Q

Risk can be aggregated through:

A
  • Stochastic modelling - although
    this may be impractical
  • Single formulae - fully
    independent / fully dependent
  • Correlation matrices
  • Copulas
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15
Q

Fully dependent risks:

A
  • Aggregate risk is the sum of individual
    risks (at a given probability level)
  • Capital requirement = sum RJ for n
    dependent capital requirements
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16
Q

Independent risks:

A
  • Aggregate capital requirement < less than sum of its
    constituent parts – cancel out
    *
  • For fully independent risks, a simplified approach
    such as is often used
    Note! In most real-world problems, risks are partially
    correlated.
17
Q

Correlation matrices:

A
  • Reflects diversification benefits
  • Commonly used in insurance
  • n x n symmetrical matrix
  • Overall capital can be expressed
18
Q

Copulas:

A
  • Function - joint cumulative distribution function from
    marginal cumulative functions
  • Reflects dependence explicitly
  • Used in quantitative finance, starting in insurance
  • Useful to model tail risks
  • Describe different degrees of dependence between random
    variables, including in the tails of distributions
19
Q

Deterministic approach

A
  • Notional approach
  • Factor sensitivity approach
  • Scenario sensitive approach
20
Q

Notional approach:

A
  • Broad-brush measure – weights for
    different assets
  • Factor-based charges – factor x exposure
    measure
  • Advantage - simple to implement and
    interpret across diverse range of
    organisations
  • Disadvantages
  • Potential undesirable use of a β€˜catch all’
    weighting, for undefined asset classes
  • Possible distortions to the market -
    demand for assets with high weightings
  • No allowance for concentration risk –
    same weighting irrespective of whether the
    investment consists of single security /
    variety of different securities
  • Probability of changes considered is not
    quantified
21
Q

Scenario sensitivity approach:

A

Scenario sensitivity approach:
* Effect of changing a set of factors in a mutually
consistent way is considered
* Disadvantage – probability of changes considered
not quantified

22
Q

Factor sensitivity approach:

A
  • Determines degree to which financial position is
    affected by impact that change in a single
    underlying risk factor has on the value of assets
    and liabilities
  • Advantage - Increased understanding of the drivers
    of risk
  • Disadvantages
  • Not assessing a wider range of risks, by focusing
    on a single risk factor
  • Being difficult to aggregate over different risk
    factors
  • Probability of changes considered is not quantified
23
Q

Probabilistic approach

A
  • Deviation
  • Value at risk
  • Probability of ruin
  • Tail Value at Risk
24
Q

Deviation:

A
  • Standard deviation – deviation is measured from mean
  • Tracking error – deviation is measured relative to a benchmark other than mean
25
Q

Value at Risk:

A
  • Statistical measure of downside risk
  • Maximum potential loss on portfolio over
    given future period with given degree of
    confidence
  • Calculated using an empirical, parametric /
    stochastic approach / scenario analysis
  • Maximum potential loss which is not
    exceeded with a given high probability over a
    given time period
  • Absolute terms / relative to benchmark
26
Q

Disadvantages:

A
  • Gives no indication of distribution of losses
    greater than VaR
  • Can under-estimate asymmetric and fat-tail
    risks - does not quantify size of the tail
  • Can be very sensitive to choices of data,
    parameters, and assumptions
  • Not always sub-additive (Subadditivity = merger
    of risk situations does not increase the overall
    level of risk
  • If used in regulation it may encourage herding,
    thereby increasing systemic risk
27
Q

Advantages:

A

Simplicity of expression
* Intelligibility of results
* Applicability to all types of risks
* Applicability over all sources of risk
* Ease of its translation into a risk benchmark

28
Q

Three general approaches to calculation of VaR:

A
  1. Empirical / historical
  2. Parametric
  3. Stochastic
29
Q

Probability of ruin:

A
  • Probability that the net financial
    position of an organisation / line of
    business falls below 0 over a defined
    time horizon
30
Q

Tail Value at Risk / Conditional Value at Risk:

A
  • Expected loss given that a loss over the specified VaR
    has occurred
    Note! Higher ratio of Tail VaR / VaR β†’ asymmetric
    distribution with a fatter tail
31
Q

Risk categorisation and quantification:

A

Risk categorisation and quantification:
* Impact and probability
* Product of impact & probability gives
idea of relative importance of various
risks

32
Q

Risk response:

A

Extend risk portfolio to indicate how risk was dealt with:
* Avoided
* Retained + capital needed to support it
* Diversified + assessment of remaining combination of risks
* Mitigated + assessment of remaining risk
- Internal actions / transfer to another party

33
Q

For risks that are retained, the risk portfolio would also contain details of:

A
  • Control measures
  • Reassessment of value and impact after controls
  • Risk owner
  • Board committee / senior manager with oversight of the risk
  • Identification of concentrations of risk and related actions
34
Q

Risk reporting allows management to:

A
  • Identify new risks
  • Obtain better understanding of risks faced i.t.o quantifying the impact of individual risks
  • Determining appropriate control systems for specific risks
  • Monitoring the effectiveness of existing control systems
  • Assessing changes to risks faced
  • Assessing the interaction between risks
  • Assisting with pricing, reserving, and determining capital requirements

Note:
It is also helpful for external stakeholders – shareholders, credit rating agencies, and regulators

35
Q

Reporting at enterprise level

A
  • Should be consistent across the enterprise in order to
  • Optimise the allocation of risk appetite
  • Make the best use of diversification for capital efficiency