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PRM Certification - Exam II: Mathematical Foundations of Risk Measurement
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PRMIA 8002 Questions and Answers
Let a, b and c be real numbers. Which of the following statements is true?
Which of the following properties is exhibited by multiplication, but not by addition?
I have a portfolio of two stocks. The weights are equal. The one volatility is 30% while the other is 40%. The minimum and maximum possible values of the volatility of my portfolio are:
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PRM Exam II, also known as Mathematical Foundations of Risk Measurement, is the second exam in the Professional Risk Manager (PRM) certification series offered by PRMIA. It focuses on the quantitative tools and techniques used in risk modeling.
The official exam code for PRM Exam II is 8002, and it is administered by PRMIA (Professional Risk Managers' International Association).
Topics include probability theory, statistics, regression analysis, time series analysis, and basic calculus, all within the context of risk measurement.
It’s ideal for finance professionals, quantitative analysts, and aspiring risk managers seeking foundational knowledge in the Mathematical Foundations of Risk Measurement.
It boosts your credibility in quantitative finance, enhances analytical skills, and is a critical step toward earning the full PRM certification.
No, it is part of the four-exam PRM Certification pathway and must be passed alongside the other exams for full certification.
The exam typically includes 36 multiple-choice questions, though formats may change slightly.
The duration of the exam is 90 minutes, during which candidates must complete all questions.
There are no strict prerequisites, but a background in math, finance, or economics is highly recommended.
It specifically emphasizes the mathematical and statistical techniques used in risk measurement, making it more quant-focused than many other finance certifications.
Costs vary based on location and membership status, but typically range between $400 to $600 USD.
It is considered moderate to difficult, especially for those without a strong quantitative background.
Absolutely. It demonstrates your proficiency in quantitative risk methods, making you valuable in risk roles.
Roles in risk management, quantitative finance, investment banking, and portfolio management often seek these skills.
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