PRMIA 8007 Q&A - in .pdf

  • 8007 pdf
  • Exam Code: 8007
  • Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Updated: Sep 13, 2026
  • Q & A: 133 Questions and Answers
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  • Updated: Sep 13, 2026
  • Q & A: 133 Questions and Answers
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  • Exam Code: 8007
  • Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Updated: Sep 13, 2026
  • Q & A: 133 Questions and Answers
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PRMIA 8007 Exam Syllabus Topics:

SectionObjectives
Probability Theory- Fundamental Probability Concepts
  • 1. Conditional Probability
  • 2. Probability Rules
  • 3. Bayes' Theorem
  • 4. Random Variables
Linear Algebra- Matrix Methods
  • 1. Eigenvalues and Eigenvectors
  • 2. Covariance Matrices
  • 3. Positive Definiteness
  • 4. Matrix Operations
Risk Measurement Applications- Quantitative Risk Analysis
  • 1. Value at Risk Methodologies
  • 2. Volatility Modeling
  • 3. Portfolio Risk Measurement
  • 4. Sensitivity Analysis
Statistical Analysis- Descriptive and Inferential Statistics
  • 1. Maximum Likelihood Estimation
  • 2. Hypothesis Testing
  • 3. Confidence Intervals
  • 4. Moments and Distributions
Numerical Methods- Quantitative Techniques
  • 1. Optimization Methods
  • 2. Monte Carlo Methods
  • 3. Simulation Techniques
  • 4. Numerical Approximation
Regression and Time Series Analysis- Modeling Techniques
  • 1. Linear Regression
  • 2. Multivariate Regression
  • 3. Model Diagnostics
  • 4. Time Series Forecasting
Calculus- Differential and Integral Calculus
  • 1. Differentiation
  • 2. Functions and Limits
  • 3. Integration
  • 4. Multivariable Calculus

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

Question #1

Which of the following is not a direct cause of autocorrelation or heteroskedasticity in the residuals of a regression model?

  • A. Using an inappropriate functional form in the model
  • B. The omission of a relevant explanatory variable
  • C. A high positive correlation between two explanatory variables
  • D. A structural break in the dependent variable
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

In a binomial tree lattice, at each step the underlying price can move up by a factor of u = 1.1 or down by a factor of . The continuously compounded risk free interest rate over each time step is 1% and there are no dividends paid on the underlying. The risk neutral probability for an up move is:

  • A. 0.5286
  • B. 0.5292
  • C. 0.5290
  • D. 0.5288
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #3

Consider the linear regression model for the returns of stock A and the returns of stock B. Stock A is 50% more volatile than stock B. Which of the following statements is TRUE?

  • A. The stocks must be positively correlated ( )
  • B. Beta must be positive ( )
  • C. Alpha must be positive ( )
  • D. Beta must be greater in absolute value than the correlation of the stocks ( )
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

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

  • A. flat and thick at the center and with heavy (fat) tails
  • B. peaked and thin at the center and with heavy (fat) tails
  • C. peaked and thin at the center and with thin tails
  • D. flat and thick at the center and with thin tails
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

An underlying asset price is at 100, its annual volatility is 25% and the risk free interest rate is 5%. A European put option has a strike of 105 and a maturity of 90 days. Its Black-Scholes price is 7.11. The options sensitivities are: delta = -0.59; gamma = 0.03; vega = 19.29. Find the delta-gamma approximation to the new option price when the underlying asset price changes to 105

  • A. 4.54
  • B. 4.59
  • C. 6.49
  • D. 5.03
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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