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8002 Sample Questions Answers

Questions 4

The gradient of a function f(x, y, z) = x + y2 - x y z at the point x = y = z = 1 is

Options:

A.

(0, 2, 1)

B.

(0, 0, 0)

C.

(1, 1, 1)

D.

(0, 1, -1)

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Questions 5

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

Options:

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

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Questions 6

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

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Questions 7

I have $5m to invest in two stocks: 75% of my capital is invested in stock 1 which has price 100 and the rest is invested in stock 2, which has price 125. If the price of stock 1 falls to 90 and the price of stock 2 rises to 150, what is the return on my portfolio?

Options:

A.

-2.50%

B.

-5%

C.

2.50%

D.

5%

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Questions 8

A biased coin has a probability of getting heads equal to 0.3. If the coin is tossed 4 times, what is the probability of getting heads at least two times?

Options:

A.

0.7367

B.

0.3483

C.

0.2646

D.

None of these

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Questions 9

A 2-step binomial tree is used to value an American put option with strike 105, given that the underlying price is currently 100. At each step the underlying price can move up by 10 or down by 10 and the risk-neutral probability of an up move is 0.6. There are no dividends paid on the underlying and the continuously compounded risk free interest rate over each time step is 1%. What is the value of the option in this model?

Options:

A.

7.12

B.

6.59

C.

7.44

D.

7.29

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Questions 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

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Questions 11

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

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Questions 12

A typical leptokurtotic distribution can be described as a distribution that is relative to a normal distribution

Options:

A.

peaked and thin at the center and with heavy (fat) tails

B.

peaked and thin at the center and with thin tails

C.

flat and thick at the center and with heavy (fat) tails

D.

flat and thick at the center and with thin tails

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Questions 13

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)?

Options:

A.

0

B.

3

C.

2

D.

1

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Questions 14

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

Options:

A.

a constant

B.

a straight line

C.

a parabola

D.

a cubic polynomial

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Questions 15

You are given the following regressions of the first difference of the log of a commodity price on the lagged price and of the first difference of the log return on the lagged log return. Each regression is based on 100 data points and figures in square brackets denote the estimated standard errors of the coefficient estimates:

Which of the following hypotheses can be accepted based on these regressions at the 5% confidence level (corresponding to a critical value of the Dickey Fuller test statistic of – 2.89)?

Options:

A.

The commodity prices are stationary

B.

The commodity returns are stationary

C.

The commodity returns are integrated of order 1

D.

None of the above

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Questions 16

Calculate the determinant of the following matrix:

Options:

A.

4.25

B.

-4.25

C.

4

D.

2

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Questions 17

Which of the following statements is true?

Options:

A.

Discrete and continuous compounding produce the same results if the discount rate is positive.

B.

Continuous compounding is the better method because it results in higher present values compared to discrete compounding.

C.

Continuous compounding can be thought as making the compounding period infinitesimally small.

D.

The constant plays an important role in the mathematical description of continuous compounding.

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Questions 18

Which of the following is consistent with the definition of a Type I error?

Options:

A.

The probability of a Type I error is 100% minus the significance level

B.

A Type I error would have occurred if the performance of a stock was positively correlated with the performance of a hedge fund, but in a linear regression, the hypothesis of positive correlation was rejected

C.

A Type I error would have occurred if the performance of a stock was positively correlated with the performance of a hedge fund, but in a linear regression, the hypothesis of no correlation was rejected

D.

A Type I occurs whenever data series are serially correlated

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Questions 19

Consider two securities X and Y with the following 5 annual returns:

X: +10%, +3%, -2%, +3%, +5%

Y: +7%, -2%, +3%, -5%, +10%

In this case the sample covariance between the two time series can be calculated as:

Options:

A.

0.40729

B.

0.00109

C.

0.00087

D.

0.32583

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Exam Code: 8002
Exam Name: PRM Certification - Exam II: Mathematical Foundations of Risk Measurement
Last Update: Apr 15, 2024
Questions: 132
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