Chapter 8 Key Learning Questions Flashcards

1
Q
  1. What is the purpose of a scenario programme?
A

The purpose of a scenario program is to prepare the firm to manage specific risks in detail and to assist in calculating capital requirements by generating frequency and severity data points

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2
Q
  1. How many scenarios should a firm use?
A

The document does not specify an exact number of scenarios a firm should use. The ideal number would depend on the firm’s specific risk profile, size, and complexity, as well as the requirement to cover a wide range of risks adequately

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3
Q
  1. Why would a firm undertake scenario analysis?
A

Firms undertake scenario analysis to understand specific risks in detail, to ensure preparedness for potential events, and to generate necessary data for operational risk capital calculation

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4
Q
  1. What should a firm consider when determining a scenario programme?
A

When determining a scenario programme, a firm should consider its objectives, the range of risks to be covered, the resources available for conducting scenario analysis, and how the outcomes will be used in risk management and capital planning

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5
Q
  1. What approaches could a firm use for scenario analysis?
A

Approaches for scenario analysis may include workshops, interviews, questionnaires, the Delphi method, research and validation processes, external data analysis, and simulation games

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6
Q
  1. What difficulties may a firm have to overcome to be successful in scenario analysis?
A

Difficulties include ensuring participant engagement, managing biases, achieving a common understanding of scenarios, transforming qualitative assessments into quantitative measures, and obtaining regulatory acceptance

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7
Q
  1. What data should a firm collect for a new scenario?
A

For a new scenario, a firm should collect data on potential frequency, likelihood, impact, and severity of the event, as well as any relevant internal and external loss data

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8
Q
  1. What are the types of bias a firm may encounter?
A

Types of bias may include anchoring bias, availability bias, confirmation bias, optimism or pessimism bias, and groupthink, among others

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9
Q
  1. How can a firm validate its scenario analysis?
A

Validation can be done by comparing scenario outcomes with historical data, expert opinion, and other operational risk tools, as well as through peer reviews and regulatory feedback

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10
Q
  1. What are the differences between RCSA and scenario analysis?
A

RCSAs focus on identifying high-level risks and controls within specific units, while scenario analysis dives deeper into understanding specific risks and preparing management for potential events. Scenario analysis also requires exploring additional data points for capital calculation

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11
Q
  1. What is the relationship between loss data and scenarios?
A

Loss data, including internal and external losses, is used in scenario analysis to illustrate how scenarios may manifest and to populate the loss distribution ‘tail’ with frequency and severity data points

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