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

8007

Exam Code: 8007

Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition

Updated: Jul 25, 2026

Q & A: 133 Questions and Answers

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PRMIA 8007 Exam Syllabus Topics:

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

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

1. 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) 0.5288
C) 0.5292
D) 0.5290


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

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


3. Which statement regarding the matrix below is true?

A) It is not positive definite
B) It is negative definite
C) It is positive definite
D) It is positive semi-definite


4. Which of the following statements are true about Maximum Likelihood Estimation?
(i) MLE can be applied even if the error terms are not i.i.d. normal.
(ii) MLE involves integrating a likelihood function or a log-likelihood function.
(iii) MLE yields parameter estimates that are consistent.

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


5. Suppose we perform a principle component analysis of the correlation matrix of the returns of 13 yields along the yield curve. The largest eigenvalue of the correlation matrix is 9.8. What percentage of return volatility is explained by the first component? (You may use the fact that the sum of the diagonal elements of a square matrix is always equal to the sum of its eigenvalues.)

A) Cannot be determined without estimates of the volatilities of the individual returns
B) 98%
C) 75%
D) 64%


Solutions:

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

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