PRMIA 8007 test insides dumps : Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition

PRMIA 8007 test insides dumps
  • Exam Code: 8007
  • Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Updated: Sep 03, 2026
  • Q & A: 133 Questions and Answers
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PRMIA 8007 Exam Syllabus Topics:

SectionWeightObjectives
Probability Theory25%- Random variables and distributions
  • 1. Expected value, variance, covariance
    • 2. Discrete and continuous distributions
      - Basic probability concepts
      • 1. Axioms and rules
        • 2. Conditional probability and independence
          Calculus and Functions20%- Multivariable calculus
          • 1. Optimization
            • 2. Partial derivatives
              - Single-variable calculus
              • 1. Limits and continuity
                • 2. Derivatives and applications
                  • 3. Integrals and applications
                    Statistics and Regression Analysis20%- Descriptive statistics
                    • 1. Measures of location and dispersion
                      • 2. Correlation and covariance
                        - Linear regression
                        • 1. Hypothesis testing and confidence intervals
                          • 2. Simple and multiple regression
                            Numerical Methods & Financial Mathematics15%- Root finding and approximation
                            - Time value of money
                            - Basics of risk modeling
                            Linear Algebra and Matrix Theory20%- Vectors and eigenvalues
                            • 1. Eigenvalues and eigenvectors
                              • 2. Diagonalization
                                - Matrix operations
                                • 1. Determinants and trace
                                  • 2. Addition, multiplication, inversion

                                    PRMIA Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition Sample Questions:

                                    Question 1

                                    In a quadratic Taylor approximation, a function is approximated by:

                                    A. a constant
                                    B. a parabola
                                    C. a cubic polynomial
                                    D. a straight line


                                    Question 2

                                    You are given the following regressions of the first difference of the log of a commodity price on the lagged price and of the first difference of the log return on the lagged log return. Each regression is based on 100 data points and figures in square brackets denote the estimated standard errors of the coefficient estimates:
                                    Which of the following hypotheses can be accepted based on these regressions at the 5% confidence level (corresponding to a critical value of the Dickey Fuller test statistic of - 2.89)?

                                    A. The commodity prices are stationary
                                    B. The commodity returns are stationary
                                    C. None of the above
                                    D. The commodity returns are integrated of order 1


                                    Question 3

                                    A 95% confidence interval for a parameter estimate can be interpreted as follows:

                                    A. The probability that the real value of the parameter is outside this interval is 95%.
                                    B. The probability that the estimated value of the parameter is outside this interval is 95%.
                                    C. The probability that the real value of the parameter is within this interval is 95%.
                                    D. The probability that the estimated value of the parameter is within this interval is 95%.


                                    Question 4

                                    Let E(X ) = 1, E(Y ) = 3, Corr(X, Y ) = -0.2, E(X2 ) = 10 and E(Y2 ) = 13. Find the covariance between X and Y

                                    A. -2.8
                                    B. 1.3
                                    C. None of the above
                                    D. -1.2


                                    Question 5

                                    Let N(.) denote the cumulative distribution function of the standard normal probability distribution, and N' its derivative. Which of the following is false?

                                    A. N(x) 0 as x
                                    B. N'(x) 0 as x
                                    C. N'(0) 0
                                    D. N(0) = 0.5


                                    Solutions:

                                    Question 1
                                    Answer: B
                                    Question 2
                                    Answer: C
                                    Question 3
                                    Answer: C
                                    Question 4
                                    Answer: D
                                    Question 5
                                    Answer: A

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