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PRMIA 8007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Linear Algebra | - Matrix Methods
|
| Topic 2: Numerical Methods | - Quantitative Techniques
|
| Topic 3: Calculus | - Differential and Integral Calculus
|
| Topic 4: Risk Measurement Applications | - Quantitative Risk Analysis
|
| Topic 5: Regression and Time Series Analysis | - Modeling Techniques
|
| Topic 6: Statistical Analysis | - Descriptive and Inferential Statistics
|
| Topic 7: Probability Theory | - Fundamental Probability Concepts
|
PRMIA Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition Sample Questions:
Question 1
I have a portfolio of two stocks. The weights are equal. The one volatility is 30% while the other is 40%. The minimum and maximum possible values of the volatility of my portfolio are:
A. 30% and 40%
B. 5% and 35%
C. 10% and 70%
D. 10% and 40%
Question 2
Which statement regarding the matrix below is true?
A. It is positive definite
B. It is not positive definite
C. It is negative definite
D. It is positive semi-definite
Question 3
You want to test the hypothesis that a population parameter of a regression model is zero. Your alternative hypothesis is that 0. Denote by SD() the estimated standard deviation of , and by MEAN() the estimated mean of . Which test statistic is appropriate, and what is its distribution?
A. test statistic = MEAN()/SD(), normal distribution
B. test statistic = MEAN()/SD(), t distribution
C. test statistic = SD()/MEAN(), t distribution
D. test statistic = SD()/MEAN(), normal distribution
Question 4
Consider two securities X and Y with the following 5 annual returns:
X: +10%, +3%, -2%, +3%, +5%
Y: +7%, -2%, +3%, -5%, +10%
In this case the sample covariance between the two time series can be calculated as:
A. 0.00109
B. 0.40729
C. 0.00087
D. 0.32583
Question 5
You are to perform a simple linear regression using the dependent variable Y and the independent variable X (Y = a + bX). Suppose that cov(X,Y)=10, var(X)= 5, and that the mean of X is 1 and the mean of Y is 2. What are the values for the regression parameters a and b?
A. b=0.5, a=2.5
B. b=0.5, a=1.5
C. b=2, a=0
D. b=2, a=4
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: C |






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