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CIMA P3 Exam With Confidence Using Practice Dumps

Exam Code:
P3
Exam Name:
Risk Management
Certification:
Vendor:
Questions:
339
Last Updated:
Jun 5, 2026
Exam Status:
Stable
CIMA P3

P3: CIMA Strategic Exam 2025 Study Guide Pdf and Test Engine

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Risk Management Questions and Answers

Question 1

Which method of quantifying risk exposure can be used to calculate the maximum loss on a portfolio occurring within a period of time with a given probability?

Options:

A.

Value at Risk

B.

Regression analysis

C.

Simulation

D.

Expected value

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Question 2

MNB is a multinational IT company with headquarters in Asia and with operations in all continents.

MNB is attempting to expand its operations in Europe. This is seen as a major challenge as the European market is very well developed and highly competitive.

MNB develops and manufactures its own products. Parts and assemblies are sourced across Asia, America and Europe. These are sometimes purchased locally as a condition of a contract, but MNB aims to include as much of its own equipment as possible. Transfer prices between MNB's subsidiaries can be set in YEN, USD, EURO, GBP. Transfer prices are revised every month in line with production times as most goods are made on short order with sales cycles running at 3-4 months.

What types of risk are being presented here?

Options:

A.

Political risk

B.

Currency risk

C.

Economic risk

D.

Environmental risk

E.

Fraud risk

F.

Legal risk

Question 3

In-depth analysis showing the identification and quantification of exposure to financial risk has become more accessible in recent years. Several varieties of analysis are now available.

Which of the following statements are true?

Options:

A.

Value at risk analysis, which has become available through increased computing power, is now easier to implement and can cater for extreme market conditions.

B.

Monte Carlo analysis is a modelling technique which can be applied to financial analysis, allowing thousands of variables to be integrated together to show standard behaviours and outlier abnormalities requiring detailed understanding in a 'what if?' environment.

C.

Sensitivity analysis involves checking the performance of a financial risk model against the various interrelationships between the different input variables in the model.

D.

Simulation, which is becoming available through standard computing packages, is complex to implement but dynamic and adaptable to cater for different assumptions.

E.

Regression analysis is easy to understand and implement, and based on future expectations.