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

  • Exam Code: 8007
  • Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Updated: Jul 17, 2026

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PRMIA 8007 Exam Syllabus Topics:

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

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

                              1. The sum of the infinite series 1+1/2+1/3+1/4+1/5+.... equals:

                              A) 20
                              B) 12
                              C) 128
                              D) Infinity


                              2. An option has value 10 when the underlying price is 99 and value 9.5 when the underlying price is 101.
                              Approximate the value of the option delta using a first order central finite difference.

                              A) 0.25
                              B) -0.5
                              C) -4
                              D) -0.25


                              3. What can be said about observations of random variables that are i.i.d. a normally distributed?

                              A) The estimated mean divided by the estimated variance has a t-distribution
                              B) The estimated mean divided by the estimated variance has a Chi2-distribution
                              C) The estimated mean divided by the estimated standard deviation has a Chi2-distribution
                              D) The estimated mean divided by the estimated standard deviation has a t-distribution


                              4. Let A be a square matrix and denote its determinant by x. Then the determinant of A transposed is:

                              A) -x
                              B) x -1
                              C) x
                              D) ln(x)


                              5. 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) 0.40729
                              B) 0.00109
                              C) 0.00087
                              D) 0.32583


                              Solutions:

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

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