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

8007 Exam Questions
  • Exam Code: 8007
  • Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Updated: Aug 03, 2026
  • Q & A: 133 Questions and Answers
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8007 exam dumps

PRMIA 8007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Simulation and Numerical Methods- Monte Carlo simulation
  • 1. Random number generation
    • 2. Risk distribution simulation
      Topic 2: Stochastic Processes and Time Series- Time series analysis
      • 1. AR, MA, and ARMA models
        • 2. Autocorrelation and stationarity
          - Stochastic processes basics
          • 1. Brownian motion (introductory level)
            • 2. Markov processes
              Topic 3: Probability and Statistics Foundations- Statistical inference
              • 1. Confidence intervals and hypothesis testing
                • 2. Estimation theory
                  - Random variables and probability distributions
                  • 1. Expectation, variance, and moments
                    • 2. Discrete and continuous distributions
                      Topic 4: Risk Measurement Techniques- Volatility and correlation
                      • 1. Correlation estimation techniques
                        • 2. Variance-covariance methods
                          - Value at Risk (VaR)
                          • 1. Parametric and non-parametric VaR
                            • 2. Historical simulation approach

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

                              1. Which of the following can be used to evaluate a regression model?
                              (i) Magnitude of R2
                              (ii) Magnitude of TSS (total sum of squares)
                              (iii) Tests for statistical significance
                              (iv) Sign and magnitude of each regression parameter

                              A) (i) and (iv)
                              B) (i), (ii), and (iii)
                              C) (i), (iii), and (iv)
                              D) (i), (ii), (iii), and (iv)


                              2. Which of the following is a false statement concerning the probability density function and the cumulative distribution function of a random variable?

                              A) the CDF approaches 1 as its argument approaches infinity.
                              B) the definite integral of the CDF from minus infinity to plus infinity is undefined.
                              C) the definite integral of the PDF from minus infinity to plus infinity is zero.
                              D) the PDF is non-negative.


                              3. A typical leptokurtotic distribution can be described as a distribution that is relative to a normal distribution

                              A) peaked and thin at the center and with heavy (fat) tails
                              B) peaked and thin at the center and with thin tails
                              C) flat and thick at the center and with heavy (fat) tails
                              D) flat and thick at the center and with thin tails


                              4. An asset price S is lognormally distributed if:

                              A) the change in price (dS) is normally distributed
                              B) 1/S is normally distributed
                              C) ln(1+dS/S) is normally distributed
                              D) ln(dS/S) is normally distributed


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


                              Solutions:

                              Question # 1
                              Answer: C
                              Question # 2
                              Answer: C
                              Question # 3
                              Answer: A
                              Question # 4
                              Answer: C
                              Question # 5
                              Answer: C

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