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PRMIA 8002 PRM Certification - Exam II: Mathematical Foundations of Risk Measurement Exam Practice Test

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Total 132 questions

PRM Certification - Exam II: Mathematical Foundations of Risk Measurement Questions and Answers

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Question 1

Which of the following properties is exhibited by multiplication, but not by addition?

Options:

A.

associativity

B.

commutativity

C.

distributivity

D.

invertibility

Question 2

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

Options:

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

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:

Options:

A.

0.5290

B.

0.5292

C.

0.5286

D.

0.5288

Question 4

Stress testing portfolios requires changing the asset volatilities and correlations to extreme values. Which of the following would lead to a non positive definite covariance matrix?

Options:

A.

Changing the volatilities to be greater than 100%

B.

Changing all the correlations to be unity

C.

Changing all the correlations to be zero

D.

All of the above

Question 5

Evaluate the derivative of ln(1+ x2) at the point x = 1

Options:

A.

0.5

B.

0

C.

1

D.

2

Question 6

You invest $100 000 for 3 years at a continuously compounded rate of 3%. At the end of 3 years, you redeem the investment. Taxes of 22% are applied at the time of redemption. What is your approximate after-tax profit from the investment, rounded to $10?

Options:

A.

$9420

B.

$7350

C.

$7230

D.

$7100

Question 7

If the annual volatility of returns is 25% what is the variance of the quarterly returns?

Options:

A.

0.1250

B.

0.0156

C.

0.0625

D.

None of the above

Question 8

Which of the following statements is true for symmetric positive definite matrices?

Options:

A.

Its eigenvalues are all positive

B.

One of its eigenvalues equals 0

C.

If a is its eigenvalue, then -a is also its eigenvalue

D.

If a is its eigenvalue, then is also its eigenvalue

Question 9

For a quadratic equation, which of the following is FALSE?

Options:

A.

If the discriminant is negative, there are no real solutions

B.

If the discriminant is zero, there is only one solution

C.

If the discriminant is negative there are two different real solutions

D.

If the discriminant is positive there are two different real solutions

Question 10

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

Options:

A.

Estimation

B.

Regression

C.

Hypothesis testing

D.

Prediction

Question 11

The bisection method can be used for solving f(x)=0 for a unique solution of x, when

Options:

A.

The function f(x) is continuous and monotonic

B.

The function f(x) is differentiable

C.

The function f(x) is differentiable and we have an explicit expression for the derivative

D.

The function f(x) is continuous

Question 12

Calculate the determinant of the following matrix:

Options:

A.

4.25

B.

-4.25

C.

4

D.

2

Question 13

Consider the linear regression model for the returns of stock A and the returns of stock B. Stock A is 50% more volatile than stock B. Which of the following statements is TRUE?

Options:

A.

The stocks must be positively correlated ( )

B.

Beta must be positive ( )

C.

Beta must be greater in absolute value than the correlation of the stocks ( )

D.

Alpha must be positive ( )

Question 14

Which of the following is not a direct cause of autocorrelation or heteroskedasticity in the residuals of a regression model?

Options:

A.

A structural break in the dependent variable

B.

A high positive correlation between two explanatory variables

C.

The omission of a relevant explanatory variable

D.

Using an inappropriate functional form in the model

Question 15

The gradient of a smooth function is

Options:

A.

a vector that shows the direction of fastest change of a function

B.

matrix of second partial derivatives of a function

C.

infinite at a maximum point

D.

a matrix containing the function's second partial derivatives

Question 16

If a time series has to be differenced twice in order to be transformed into a stationary series, the original series is said to be:

Options:

A.

non-linear

B.

integrated of order 2

C.

differential

D.

non-functional

Question 17

An indefinite integral of a polynomial function is

Options:

A.

always positive

B.

always increasing

C.

always less than the function itself

D.

none of the above

Question 18

Two vectors are orthogonal when:

Options:

A.

one is a scalar multiple of the other

B.

their components are linearly dependent

C.

their determinant is zero

D.

their scalar product (sum product) is zero

Question 19

A 2-step binomial tree is used to value an American put option with strike 104, given that the underlying price is currently 100. At each step the underlying price can move up by 20% or down by 20% and the risk-neutral probability of an up move is 0.55. There are no dividends paid on the underlying and the discretely compounded risk free interest rate over each time step is 2%. What is the value of the option in this model?

Options:

A.

11.82

B.

12.33

C.

12.49

D.

12.78

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Total 132 questions