Chapter 7 Key Learning Questions Flashcards

1
Q
  1. How does a near miss event differ from a loss
A

A near miss is an event that did not result in a loss because of fortuitous circumstances, but analysis is required to understand why intermediate controls did not operate properly. (Section 7.1.3)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q
  1. In what situation could a risk event result in a gain?
A

A risk event on a trading floor, such as a ‘fat finger’ error when buying/selling, could result in a gain or a loss depending on market movements between the time of error and its discovery/reversal. (Section 7.1.4)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q
  1. What is the difference between direct and indirect losses?
A

Direct losses have a direct financial impact while indirect losses are ancillary impacts that may be difficult to quantify, such as reputational damage. (Section 7.1.1)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q
  1. What key information should a firm record in relation to risk events?
A

A firm should record the event description/type, amount, dates, recoveries, business entity, business activity, geographic location, and event description. (Section 7.2)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q
  1. Why is it important to undertake root cause analysis of risk events?
A

To understand if controls failed or were lacking, assess risk exposure, and take action to prevent reoccurrence or mitigate risks. (Section 7.3)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q
  1. What should a firm consider when setting a risk event data collection threshold?
A

The size of the firm, cost/benefit trade off, materiality of small losses indicating control failures, culture, and impact on modelling quality. (Section 7.4)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q
  1. How can risk event data be used to validate RCSAs?
A

By challenging control assessments and impact/likelihood scoring using actual loss event data. (Section 7.6.1)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q
  1. What else can risk event data be used for?
A

Scenario analysis, risk indicators, modelling, accounting, risk appetite, action plans, training, external reporting. (Section 7.6)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q
  1. Who should be responsible for reporting a risk event?
A

There are several options - the detector, originating department, operational risk specialist, anonymous reporter. (Section 7.5.3)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q
  1. What is external loss event data and where can this be obtained?
A

Data about large losses experienced by other firms, obtained from media, consortium databases, and data sharing groups. (Sections 7.7.1, 7.7.2)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q
  1. Why would a firm consider obtaining external loss event data?
A

For scenario analysis, benchmarking, risk identification, new product analysis, setting risk appetite, risk education. (Section 7.8)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly