PRMIA 8007 Valid Q&A - in .pdf

  • 8007 pdf
  • Exam Code: 8007
  • Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Updated: Jul 18, 2026
  • Q & A: 133 Questions and Answers
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  • Updated: Jul 18, 2026
  • Q & A: 133 Questions and Answers
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PRMIA 8007 Valid Q&A - Testing Engine

  • 8007 Testing Engine
  • Exam Code: 8007
  • Exam Name: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Updated: Jul 18, 2026
  • Q & A: 133 Questions and Answers
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PRMIA 8007 Exam Syllabus Topics:

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

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

1. Suppose a discrete random variable can take on the values -1, 0 and 1 each with a probability of 1/3. Then the mean and variance of the variable is

A) mean is 0, variance is 1/3
B) mean is 1/3, variance is 1/3
C) mean is 0, variance is 2/3
D) mean is 0, variance is 1/2


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


3. Kurtosis(X) is defined as the fourth centred moment of X, divided by the square of the variance of X.
Assuming X is a normally distributed variable, what is Kurtosis(X)?

A) 3
B) 1
C) 2
D) 0


4. Which of the following is a false statement concerning the probability density function and the cumulative distribution function of a random variable?

A) the definite integral of the PDF from minus infinity to plus infinity is zero.
B) the definite integral of the CDF from minus infinity to plus infinity is undefined.
C) the CDF approaches 1 as its argument approaches infinity.
D) the PDF is non-negative.


5. When a number is written with a fraction as an exponent, such as , which of the following is the correct computation?

A) Take the square-root of 75 and raise it to the 5th power
B) Square 75, then take the fifth root of it
C) Multiply 75 by 2.5
D) Divide 75 by 2, then raise it to the 5th power


Solutions:

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

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