Most Recent PRMIA 8007 Exam Dumps

Prepare for the PRMIA Mathematical Foundations of Risk Measurement – 2015 Edition exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the PRMIA 8007 exam and achieve success.

The questions for 8007 were last updated on Feb 22, 2025.

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Question No. 1

Which of the following is consistent with the definition of a Type I error?

AThe probability of a Type I error is 100% minus the significance level

BA Type I error would have occurred if the performance of a stock was positively correlated with the performance of a hedge fund, but in a linear regression, the hypothesis of positive correlation was rejected

CA Type I error would have occurred if the performance of a stock was positively correlated with the performance of a hedge fund, but in a linear regression, the hypothesis of no correlation was rejected

DA Type I occurs whenever data series are serially correlated

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Correct Answer: B

Question No. 2

There are two portfolios with no overlapping of stocks or bonds. Portfolio 1 has 6 stocks and 6 bonds. Portfolio 2 has 4 stocks and 8 bonds. If we randomly select one stock, what is the probability that it came from Portfolio1?

A0.3

B0.5

C0.6

DNone of these

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Correct Answer: C

Question No. 3

Which of the following statements are true about Maximum Likelihood Estimation?

(i) MLE can be applied even if the error terms are not i.i.d. normal.

(ii) MLE involves integrating a likelihood function or a log-likelihood function.

(iii) MLE yields parameter estimates that are consistent.

A(i) and (ii)

B(i) only

C(i) and (iii)

D(i), (ii), and (iii)

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Correct Answer: C

Question No. 4

What is the simplest form of this expression: log2(165/2)

A10

B32

C5/2 + log2(16)

Dlog2 (5/2) + log2(16)

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Correct Answer: A

Question No. 5

The gradient of a function f(x, y, z) = x + y2 - x y z at the point x = y = z = 1 is

A(0, 2, 1)

B(0, 0, 0)

C(1, 1, 1)

D(0, 1, -1)

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Correct Answer: D

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