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

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Exam Code: 8007

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

Updated: Jul 20, 2026

Q & A: 133 Questions and Answers

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PRMIA 8007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Regression and Time Series Analysis- Modeling Techniques
  • 1. Multivariate Regression
  • 2. Linear Regression
  • 3. Model Diagnostics
  • 4. Time Series Forecasting
Topic 2: Risk Measurement Applications- Quantitative Risk Analysis
  • 1. Portfolio Risk Measurement
  • 2. Sensitivity Analysis
  • 3. Value at Risk Methodologies
  • 4. Volatility Modeling
Topic 3: Numerical Methods- Quantitative Techniques
  • 1. Optimization Methods
  • 2. Simulation Techniques
  • 3. Monte Carlo Methods
  • 4. Numerical Approximation
Topic 4: Statistical Analysis- Descriptive and Inferential Statistics
  • 1. Hypothesis Testing
  • 2. Maximum Likelihood Estimation
  • 3. Confidence Intervals
  • 4. Moments and Distributions
Topic 5: Probability Theory- Fundamental Probability Concepts
  • 1. Random Variables
  • 2. Probability Rules
  • 3. Conditional Probability
  • 4. Bayes' Theorem
Topic 6: Calculus- Differential and Integral Calculus
  • 1. Integration
  • 2. Functions and Limits
  • 3. Differentiation
  • 4. Multivariable Calculus
Topic 7: Linear Algebra- Matrix Methods
  • 1. Covariance Matrices
  • 2. Matrix Operations
  • 3. Eigenvalues and Eigenvectors
  • 4. Positive Definiteness

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

1. You are given the following values of a quadratic function f(x): f(0)=0, f(1)=-2, f(2)=-5. On the basis of these data, the derivative f'(0) is ...

A) in the interval ]-2,+[
B) equal to -2
C) in the interval ]-2.5,-2[
D) in the interval ]-,-2.5]


2. Simple linear regression involves one dependent variable, one independent variable and one error variable. In contrast, multiple linear regression uses...

A) Many dependent variables, many independent variables, many error variables
B) One dependent variable, one independent variable, many error variables
C) Many dependent variables, one independent variable, one error variable
D) One dependent variable, many independent variables, one error variable


3. What is the 40th term in the following series: 4, 14, 30, 52, ...?

A) 4598
B) 4840
C) 4960
D) 240


4. You intend to invest $100 000 for five years. Four different interest payment options are available. Choose the interest option that yields the highest return over the five year period.

A) an annually compounded rate of 4.15%
B) a quarterly-compounded rate of 4.1%
C) a continuously-compounded rate of 4%
D) a lump-sum payment of $22 500 on maturity (in five years)


5. When the errors in a linear regression show signs of positive autocorrelation, which of the statements below is true?

A) The regression coefficient will be unbiased, but the standard error of the regression coefficient will be overstated
B) The regression coefficient will be too high and the standard error of the regression coefficient will be understated
C) The regression coefficient will be too low and the standard error of the regression coefficient will be overstated
D) The regression coefficient will be unbiased, but the standard error of the regression coefficient will be understated


Solutions:

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

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