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

8007

Exam Code: 8007

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

Updated: Aug 30, 2026

Q & A: 133 Questions and Answers

8007 Free Demo download:

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PRMIA 8007 Exam Syllabus Topics:

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

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

Question 1

A 2-step binomial tree is used to value an American put option with strike 105, given that the underlying price is currently 100. At each step the underlying price can move up by 10 or down by 10 and the risk-neutral probability of an up move is 0.6. There are no dividends paid on the underlying and the continuously compounded risk free interest rate over each time step is 1%. What is the value of the option in this model?

A. 7.12
B. 7.29
C. 6.59
D. 7.44


Question 2

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


Question 3

Every covariance matrix must be positive semi-definite. If it were not then:

A. Some portfolios could have a negative variance
B. The associated correlation matrix would not be positive semi-definite
C. It could not be used to simulate correlated asset paths
D. All the above statements are true


Question 4

Suppose I trade an option and I wish to hedge that option for delta and vega. Another option is available to trade. To complete the hedge I would

A. trade the underlying in such a way as to make the portfolio delta neutral, and then trade the other option in such a way as to make the portfolio vega neutral.
B. trade the underlying in such a way as to make the portfolio delta and vega neutral.
C. trade the other option in such a way as to make the portfolio delta and vega neutral.
D. trade the other option in such a way as to make the portfolio vega neutral, and then trade the underlying in such a way as to make the portfolio delta neutral.


Question 5

Which statement regarding the matrix below is true?

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


Solutions:

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

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8009 - Exam IV: Case Studies: Standards: Governance, Best Practices and Ethics - 2015 Edition
8002 - PRM Certification - Exam II: Mathematical Foundations of Risk Measurement
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