PRMIA 8007 Exam Details & Actual Exam Questions

  • Exam Code/Number: 8007
  • Exam Name/Title: Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
  • Certification Provider: PRMIA
  • Corresponding Certification: PRM
  • Exam Questions: 133
  • Updated On: Sep,01 2026
  • Certification Level: Professional

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

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PRMIA 8007 Exam Overview:

Certification Vendor:PRMIA
Exam Name:PRM Exam II: Mathematical Foundations of Risk Measurement (2015 Edition)
Exam Number:8007
Real Exam Qty:36
Related Certifications:PRM Exam IV
PRM Exam I
PRM Exam III
Exam Duration:90 minutes
Passing Score:60%
Available Languages:English
Exam Format:Multiple Choice, Computer-Based Exam
Recommended Training:PRMIA Official Study Materials
Exam Registration:PRMIA Exam Registration
Sample Questions:PRMIA 8007 Sample Questions
Exam Way:Computer-based testing (online proctored or authorized test center)
Pre Condition:Completion of PRM Exam I is required before taking Exam II.
Official Syllabus URL:https://www.prmia.org

PRMIA 8007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Risk Measurement Techniques- Value at Risk (VaR)
  • 1. Parametric and non-parametric VaR
    • 2. Historical simulation approach
      - Volatility and correlation
      • 1. Correlation estimation techniques
        • 2. Variance-covariance methods
          Topic 2: Probability and Statistics Foundations- Statistical inference
          • 1. Confidence intervals and hypothesis testing
            • 2. Estimation theory
              - Random variables and probability distributions
              • 1. Expectation, variance, and moments
                • 2. Discrete and continuous distributions
                  Topic 3: Stochastic Processes and Time Series- Time series analysis
                  • 1. Autocorrelation and stationarity
                    • 2. AR, MA, and ARMA models
                      - Stochastic processes basics
                      • 1. Markov processes
                        • 2. Brownian motion (introductory level)
                          Topic 4: Simulation and Numerical Methods- Monte Carlo simulation
                          • 1. Random number generation
                            • 2. Risk distribution simulation


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