Chapter 29: Risk measurement and reporting Flashcards

1
Q

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features of a risk that would make it appropriate to model stochastically as opposed to deterministically

A
  • has a high score (high frequence or severity) and there is a high prioristy to assess carefully
  • has a high variability of possible outcomes
  • has a lot of experience data on which to base probability distributions
  • relates to financial guarantees or options
  • involves a mismatching of assets and liabilities
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2
Q

‘single event’ insurance

A

one where there can only be a maximum of one claim

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3
Q

ways to allow for operational risk within an organisation

A
  • a broad brush approach that does not perform any detailed analysis
  • scenario analysis
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4
Q

why would we go for scenario analysis instead of stochastic modelling?

A
  • risks might not be suitable for mathematical modelling
  • Distribution would need so many subjective parameters so that value of using it would be eroded.
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5
Q

Steps in scenario analysis

A
  • Grouping risks into broad categories - all risks involving fraud, all risks involving systsems - input from management may be needed
  • development of a plausible adverse scenario - so that it is possible to quatify the impact of the risk, the scenario must be representative of all risks in that group.
  • calculations of the consequences of the risk event occuring for each scenario - include redress paid to those affected, fines correcting systems and records and opportunity costs
  • total costs calculated are taken as the financial cost of all the risks represented by the chosen scenario
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6
Q

What is the limitation to scenario testing ?

A

it can only quantify the severity of a scenario and not the probability

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7
Q

The limitation to scenario testing is that it can only quantify the severity of a scenario and not the probability

What are some of the ways to go around this limitation

A
  • The organistation may use their capital model to determine the probability of an equivalent scenairio occuring
  • they may have an idea of the probability of the scenario occuring and use this in conjuction to the severity to help caliberate or validate the capital model
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8
Q

stress scenario test

A

scenario testing + stress testing

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9
Q

two types of scenario stress test

A
  • to identify the “weak areas” in the portfolio and investigate the effects of localised stress situations by looking at the effect of different combinations of correlations and volatilities
  • to gauge the impact of maor market turmoil affecting all model parameters, while ensuring consistency between correlations while they are “stressed”
    *
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10
Q

reverse stress testing

A
  • construction of a stress scenario that just allows the firm to be able to continue to meet its business plan
  • identifying a scenario which would just be enough to stop the company fulfilling its strategic plan
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11
Q

Stochastic modelling as an extension of stress testing

A
  • full stochastic model with all the variables that give rise to risk being incorporated as probability distributions
  • and a full set of dynamic interactions between the variables specified
  • the model can then determine the capital necessary to just avoid ruin at any probability level
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12
Q

ways to limit the complexity of a stochatic model

A
  • restrict the duration (or time horizon) of the model
  • limit the number of variables modelled stochastically and use a deterministic approach for the other variables - variables that only have an adverse effect when they move in one direction can be modelled stochastically e.g mortality and longevity
  • carry out a number of runs with different single stochastic variable and then a single deterministc run using all the worst case scenarios together
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13
Q

limitations to stochastic modelling

A
  • difficult to specify and build
  • the run times of multiple variables become impractical
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14
Q

Explain why the effect of multiple risks may be less than the sum of individual risks

A
  • Impact of diversification or less than perfect (even negative) correlation
  • less than perfect correlation means that they are unlikely to occur at the same time
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15
Q

Different ways of aggregating risk

A
  • stochastic modelling
  • simple formulae if risk events are fully dependent
  • correlation matrices
  • copulas
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16
Q

Propose some likely correlations between risks

A
  • Inflation risk is heavily corealted with expense risk for most long-term financial products
  • Traditionaly, equity markets have moved in opposite directions to interest rates but in recent years, the correlation has not been so obvious
  • Falling equity markets are likely to be corelated with increasing lapse rates on unit-linked savings products
  • operational risk is likely to be weakly correlated with all other risks, because if management are concentrating on some other issue they may not be concentrating on routine operational matters
  • In life insurance, the longevity risk on an annuity book is strongly negatively correlated with mortality risk on a term assurance book
17
Q

Limiting property of correlation matrices

A

They assume that correlations do not vary under different conditions

18
Q

Copula

A

a function which takes as inputs marginal cumulative distributiion functions and outputs a joint distribution function

19
Q

Why is modelling tail risk particularly important for a financial service provider ?

A

Capital requirments are typically assessed in relation to events that would fall in the tails of distributiions

20
Q

Deterministic approaches to measuring risk

A
  • notional approach
  • the factor sensitivity approach
  • scenario sensitivity approach
21
Q

stochastic approaches to measuring risk

s

A
  • deviation - standard deviation and tracking error
  • Value at Risk
  • probability of ruin
  • Tail Value at Risk
22
Q

Different ways to calculate VaR and tVar

A
  • emperical
  • parametric
  • stochastic approach
  • scenario analysis
23
Q

Notional approach to measuring risk

A
  • A notional approach to measuring risk involves a simplified or conceptual method that doesn’t require detailed quantitative data - hence a broad-brush risk measure
  • It can be useful when you lack precise data but still want to gain a general understanding of the risk landscape

Notes do not give a precise definition so I used ChatGPT

24
Q

Advantage to the notional approach to measuring risk

A
  • simple to implement and interpret across the diverse range of organisations
25
Q

Disadvantages to the notional approach to measuring risk

A
  • potential undesirable use of a catch all weighting for (possibly heterogeneous) undefined assets classes
  • possible distortions to the market caused by increased demand for asset classes with high weightings
  • treating short postions as if they were the exact opposite of the equivalent long postion - they might affect capital requirements differently in practice
  • no allowance for concentration of risk, as the risk weighting for an asset class is the same irrespective of whether the investment in that asset class consists of a single security or a variety of different securities
  • the probability of the changes considered is not quantified
26
Q

Factor sensitivity approach

A
  • Determines the degree to which an institution’s financial position is affected by the impact that a change in an underlying single factor has on the value of assets and liabilities
  • the event need not be extreme like in sensitivity testing
27
Q

Advantages of factor senstivity approach

A

increased understanding of drivers of risk

28
Q

value at risk

A

the maximum potential loss which is not exceeded with a given probability over a given period of time

29
Q

Disadvantages of factor sensitivity approach

A
  • Not assessing a wider range of risks by focusing on a single factor
  • being difficult to aggregate over different risk factors
  • the probability of the changes considered (in the value of assets or liabilities) is not quantified
30
Q

Advantages of using VaR

A
  • simplicity of its expression
  • the intelligibility of its units - money
  • its applicable to all types of risk
  • its applicability over all sources of risk - facillitating easy comparisons between products and across businesses its inherent allowance for the way in which different risks interact to cause losses
  • the ease of its translation into a risk benchmark
31
Q

disadvantages of VaR

A
  • it gives no indication of the distribution of losses greater than the VaR
  • it can under-estimate asymmetric and fat-tail risk as it does not quantify the size of the ‘tail’
  • it can be very sensitive to the choice of data, parameters and assumptions
  • VaR is not always sub-additive
  • if used in regulation, it may encourage herding, thereby increasing systemic risk
32
Q

risk register/portfolio

A
  • Catergorises the various risks to which a business is exposed
  • records the impact and probability of each risk
33
Q

Risk response

A

extending the risk portfoliio to indicate how the risk should be dealt with - avoid, retain, diversify, mitigate

34
Q

for the retained risks, what should the risk register contain details of ?

A
  • control measures
  • reassessment of the value and impacts after controls
  • risk owner
  • board committe/senior manager with oversight over the risk
  • identification of concentrations of risk and related actions
35
Q

What does the production of a regular risk register allow management to do?

A
  • identify any new risks faced by the business
  • obtain a better understanding of the risks faced by the business in terms of quantifying the materiality and financial impact of individual risks.
  • determine appropriate risk and control sytems to manage specific risks
  • proactively monitor and manage the effectiveness of risk and control systems within its business
  • assess whether the risks faced by a business change over time
  • assess the interactions between different individual risks
  • appropriately price, reserve and determine any capital requirements for its business
36
Q

How is risk reporting likely to be helpful to other stakeholders ?

A
  • Give shareholders or potential shareholders in a business a greater understanding og the attractiveness of that business for investment
  • help credit rating agencies determine an appropriate rating for the business
  • give a regulator a greater understanding of the areas within a business that could require more scrutiny
37
Q

issues relating to reporting risks externally

A
  • Whether to use a qualitative or quantitative approach
  • if quantitative, how to best communicate the level of uncertainty within the figures given and the limitations of the assessment approach used, including simplications
  • tailoring to the needs of the intended audience