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Total 39 questions
Exam Code: 8002                Update: Oct 14, 2025
Exam Name: PRM Certification - Exam II: Mathematical Foundations of Risk Measurement

PRMIA PRM Certification - Exam II: Mathematical Foundations of Risk Measurement 8002 Exam Dumps: Updated Questions & Answers (October 2025)

Question # 1

Let a, b and c be real numbers. Which of the following statements is true?

A.

The commutativity of multiplication is defined by

B.

The existence of negatives is defined by

C.

The distributivity of multiplication is defined by

D.

The associativity of multiplication is defined by

Question # 2

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

A.

Some portfolios could have a negative variance

B.

It could not be used to simulate correlated asset paths

C.

The associated correlation matrix would not be positive semi-definite

D.

All the above statements are true

Question # 3

A 2-year bond has a yield of 5% and an annual coupon of 5%. What is the Macaulay Duration of the bond?

A.

2

B.

1.95

C.

1.86

D.

1.75

Question # 4

In a binomial tree lattice, at each step the underlying price can move up by a factor of u = 1.1 or down by a factor of . The continuously compounded risk free interest rate over each time step is 1% and there are no dividends paid on the underlying. The risk neutral probability for an up move is:

A.

0.5290

B.

0.5292

C.

0.5286

D.

0.5288

Question # 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 too high and the standard error of the regression coefficient will be understated

B.

The regression coefficient will be too low and the standard error of the regression coefficient will be overstated

C.

The regression coefficient will be unbiased, but the standard error of the regression coefficient will be understated

D.

The regression coefficient will be unbiased, but the standard error of the regression coefficient will be overstated

Question # 6

In a quadratic Taylor approximation, a function is approximated by:

A.

a constant

B.

a straight line

C.

a parabola

D.

a cubic polynomial

Question # 7

Exploring a regression model for values of the independent variable that have not been observed is most accurately described as…

A.

Estimation

B.

Regression

C.

Hypothesis testing

D.

Prediction

Question # 8

For each of the following functions, indicate whether its graph is concave or convex:

Y = 7x2 + 3x + 9

Y = 6 ln(3x)

Y = exp(-4x)

A.

concave, concave, concave

B.

concave, convex, convex

C.

convex, concave, concave

D.

convex, convex, concave

Question # 9

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) and (iv)

B.

(i), (ii), and (iii)

C.

(i), (iii), and (iv)

D.

(i), (ii), (iii), and (iv)

Question # 10

Let N(.) denote the cumulative distribution function and suppose that X and Y are standard normally distributed and uncorrelated. Using the fact that N(1.96)=0.975, the probability that X ≤ 0 and Y ≤ 1.96 is approximately

A.

0.25%

B.

0.488%

C.

0.49%

D.

0.495%

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Total 39 questions

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