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PRMIA 8007 Exam With Confidence Using Practice Dumps

Exam Code:
8007
Exam Name:
Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
Certification:
PRM Certification
Vendor:
PRMIA
Questions:
132
Last Updated:
Jul 5, 2025
Exam Status:
Stable
PRMIA 8007

8007: PRM Certification Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the PRMIA 8007 (Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition) exam? Download the most recent PRMIA 8007 braindumps with answers that are 100% real. After downloading the PRMIA 8007 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the PRMIA 8007 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the PRMIA 8007 exam on your first attempt, we have compiled actual exam questions and their answers. 

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Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition Questions and Answers

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Question 1

A 2-step binomial tree is used to value an American put option with strike 105, given that the underlying price is currently 100. At each step the underlying price can move up by 10 or down by 10 and the risk-neutral probability of an up move is 0.6. There are no dividends paid on the underlying and the continuously compounded risk free interest rate over each time step is 1%. What is the value of the option in this model?

Options:

A.

7.12

B.

6.59

C.

7.44

D.

7.29

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Question 2

You invest $2m in a bank savings account with a constant interest rate of 5% p.a. What is the value of the investment in 2 years time if interest is compounded quarterly?

Options:

A.

$2,208,972

B.

$2,210,342

C.

$2.205,000

D.

None of them

Question 3

Which of the following is not a direct cause of autocorrelation or heteroskedasticity in the residuals of a regression model?

Options:

A.

A structural break in the dependent variable

B.

A high positive correlation between two explanatory variables

C.

The omission of a relevant explanatory variable

D.

Using an inappropriate functional form in the model

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