Key risk-management concepts Flashcards

1
Q

In an organisational setting, when do risks arise?

A

Whenever a single decision or action could result in more than one potential outcome

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2
Q

Difference between risk and uncertainty

A

Generally:
Risk is something that can be quantified and therefore calculated
&
Uncertainty is unquantifiable due to unpredictability of future event constraints

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3
Q

Degree of uncertainty in organisational risk will often depend on: (4)

A
  • the chosen risk model and underlying assumptions
  • the availability and quality of data
  • the chosen model parameters such as time horizon and frequency of data inputs
  • the chosen confidence level, among other factors
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4
Q

In organisational setting, will risks be calculated with 100% accuracy?

A

Very rarely, there will almost always be some level of uncertainty

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5
Q

4 examples of uncertainty in an org:

A
  • Emerging risks such as cyber-attacks
  • How fin. markets may react to unfamiliar scenarios (eg. natural disaster)
  • Effects of political or regulatory change
  • Effects of negative news media coverage
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6
Q

What is the common factor in examples of uncertainty?

A

The human element - human behaviour can be very unpredictable

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7
Q

What is the concept of confidence intervals used for? How is it applied?

A

Used to measure the level of uncertainty of a particular risk.
Confidence interval is expressed in percentage terms from 0 to 100, with a higher interval indicating greater confidence

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8
Q

What is a risk event

A

Any outcome that arises from a single decision or action that had more than one potential outcome

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9
Q

What are outcomes that result from a single decision expressed in terms of?

A

Probability and severity

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10
Q

What does impact relate to re. risk?

A

The scale of a particular positive or negative outcome

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11
Q

What is impact commonly estimated in relation to?

A

How the specific objectives are affected

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12
Q

What is risk exposure?

A

The measure of probably future outcome resulting from a single decision or outcome

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13
Q

What is the time horizon re. risk?

A

The length of time over which probabilities are estimated when analysing risk

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14
Q

Equation for risk exposure

A

Probability of outcome x impact of outcome = exposure to outcome

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15
Q

What is a pure risk?

A

A risk that only has neutral or negative outcomes, such as a fire risk

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16
Q

What is a speculative risk?

A

A risk that has three outcomes - positive, neutral or negative

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17
Q

What is inherent risk?

A

The level of exposure that is present in the absence of any controls or mitigating actions

In practice, inherent risk tends to assume the existence of controls at their current level rather than a scenario with no controls whatsoever

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18
Q

What is residual risk?

A

The level of exposure that remains given the current effectiveness of the controls that are in place to manage the risk in question

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19
Q

What is target risk?

A

The desired level of risk exposure, usually the level required to keep the risk within appetite

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20
Q

What is a principal risk?

A

A risk that is considered material and can affect the viability of a business

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21
Q

What is an emerging risk?

A

A risk that does not yet affect an org, but may develop to a principal risk in the future

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22
Q

What does a risk profile represent a combination of?

A

All principal and emerging risks that an organisation faces

23
Q

Which sorts of risks are reported as part of the strategic annual report?

A

Principal risks

24
Q

What is a tail risk?

A

A ‘black swan’ event - the risk arising from a highly improbably and difficult-to-predict event

25
What is a cliff risk?
A risk arising from an event that is probably and has high impact
26
What is risk taxonomy?
A set of all risk categories used within an org - this will often differ from one org to the next
27
Benefits of risk categorisation (3)
- Helps decision-makers to narrow down key risk categories - Helps to establish a common risk taxonomy within an org, which improves quality of communication and increases effectiveness of decision-making processes - Allows for different types of risk to be approached differently
28
6 categories in standard categorisation of risk
- Business risk - Credit risk - Market risk - Liquidity risk - Operational risk - Reputation risk
29
Business risk (5)
- Non-financial risks that are inherent in an org's operating environment, such as specific actions of competitors - Business risk is willingly assumed by orgs in order to gain a competitive advantage - Generally intangible and hard to quantify - Assessed in terms of probability and impact - High-probability, high-impact risks ideally reduced to acceptable level either by business changes, an insurance policy, or both
30
What is credit risk?
Financial risk that a borrower or counterparty will suffer a deterioration in its credit rating meaning it will be unable to meet its obligations
31
Credit risk is managed through a combination of: (5)
- Statistical models - Stress testing and scenario analysis - Risk appetite and limits - Credit underwriting and diversification standards - Qualitative assessments
32
What is market risk?
Type of financial risk - measures the extent of change in the value of an investment due to factors affecting the overall performance of the entire financial markets.
33
4 major categories of market risk
- Equity risk - Interest-rate risk - Foreign exchange risk - Commodity price risk
34
Market risk is managed through a combination of: (5)
- Statistical models - Stress testing and scenario analysis - Risk appetite and limits - Diversification and hedging strategies - Qualitative assessments
35
Liquidity risk (2)
- Financial risk including asset liquidity risk and funding liquidity risk - Came into focus following financial crisis of 07-08, where banks had to be bailed out, creating a higher expectation to manage liquidity risk these days
36
What is asset liquidity risk?
The inability to easily sell a particular asset
37
What is funding liquidity risk?
Inability to fulfil payment obligations in a timely manner
38
Liquidity risk is managed through a combination of: (6)
- Comprehensive assets and liabilities management framework - Statistical models - Stress testing and scenario analysis - Risk appetite and limits - Funding diversification - Qualitative assessments
39
Operational risk (3)
- Risk of loss resulting from inadequate or failed internal processes, people and systems or from external events - Generally pure risks - Typically includes legal, regulatory-compliance and data-quality risks
40
Examples of operational risk: (5)
- Loss due to inadequate performance of a risk model - Damage to physical assets - H&S incidents - Customer-service problems - Security breaches such as cyber attacks
41
What is legal risk?
Risk that an org will be unable to meet its obligations as required by law, giving rise to regulatory fines or legal action by private parties
42
What is regulatory-compliance risk?
Risk arising when in violation of applicable laws and regulations, giving rise to consequences such as fines and negative publicity
43
What is data-quality risk?
Risk that data used to calculate risk exposures is incomplete or incorrect
44
Reputation risk
- Risk of loss resulting from damages to reputation, value of brand and perceived goodwill - Reputation is a very valuable intangible asset, giving an org a competitive advantage such as in attracting more customers and high-quality employees, and lower marketing and financing costs - Often associated with some type of risk event such as large-scale operational incident or substantial liquidity loss - Likelihood can be mitigated with employee ethics training - In modern world where news travels fast, so speed of response, by individuals who have knowhow, is critical
45
Who is ultimately responsible for risk-man practices within an org, and compliance with relevant regulations?
The board
46
What will the approach that is taken to categorise risks depend upon?
The nature of the organisation's activities
47
Consideration re. risk sub-categories
Too many sub-categories can make it difficult to categorise risks Too few sub-categories and important differences between risk types may be missed
48
Growing recognition that risks are becoming more complex, impactful and interconnected due to rise of: (3)
- globalisation - innovation - technological advances
49
Example of interconnected risk
An accidental order for a large number of highly risky securities (risk event 1) may lead to a sudden deterioration of liquidity (risk event 2), as well as an increase in market and credit risks
50
How can org's better recognise interconnected risks?
By using' what if?' scenarios - what other risks will we face if X risk occurs?
51
5 challenges arising with estimating risk exposures objectively
- Choice of a specific statistical model, assumptions, parameters and confidence interval are all subjective - Output is only as good as input, so patchy or erroneous data can skew the results - Many risk models use historical data and combine this with subjective judgements on the future to produce forward looking results - Not every risk can be quantified using statistical methods - Quantifiable risks are quantified by people who cannot interpret findings objectively - different people would make different conclusions (due to BIAS)
52
3 common cognitive biases that affect subjectivity of risk perception
Group-think bias - individual decision-makers strive for group consensus Status quo bias - favours preservation of current state Myopia bias - increased focus on smaller and less impactful risks at expense of more strategic and more impactful risks
53
6 common risk perceptions and how they effect perception of risk
Choice - person's perception of risk reduced if they make the choice to take risk (due to confidence in personal ability) Control - people more willing to accept risks that they believe they can control (as they overestimate their ability to control) Familiarity - person's perception of risk diminishes if they get used to living with that risk Distant risks - if effect is far in the future, people may be more willing to accept that risk now Media - risks ignored by media are not seen to be as important as those that receive media attention Randomness - naturally occurring risks are more accepted as they are believed to be random bad luck rather than human-made and therefore caused by error
54
5 common practical challenges and trends surrounding risk models
- Risk models have become increasingly complex - Balancing different outputs from different risk models is becoming more of an art than a science - Risks are interconnected, which models can struggle to recognise - In fin. services, number of required regulatory risk models has been growing exponentially due to increased regulation since fin. crisis - Link between risk model assumptions and long-term strategic objectives need to be stronger